Company Description

Join us and make YOUR mark on the World!

Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability.

Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.

Job Description

We have multiple openings for early-career Data Science Engineers to join a team applying machine learning, AI/NLP, and data science to national security challenges. You will contribute to the design, development, and deployment of AI-driven capabilities — including large language models (LLM)-based pipelines, knowledge graphs, and intelligent agent prototypes — that advance data and decision sciences for national security. Working alongside senior engineers and domain experts, you will write production-quality code, help build analytical tools and visualizations, and contribute fresh ideas to challenging problems. These positions are in the Computational Engineering Division (CED), within the Engineering Directorate, in support of impactful Global Security Directorate missions.

Depending on your assignment, this position may offer a hybrid schedule, blending in-person and virtual presence. You may have the flexibility to work from home one or more days per week.

You will

• Under the guidance of senior team members, apply machine learning and data science algorithms to help analyze national security datasets.
• Contribute to LLM-driven data pipelines for information extraction, entity resolution, and automated analysis of large-scale structured and unstructured datasets.
• Help build and maintain knowledge graphs and graph-based analytics (e.g., graph-RAG) to model relationships across national security domains.
• Assist in prototyping AI agents and conversational interfaces that allow analysts to query data science capabilities through natural language.
• Write clean, well-documented code to implement data science solutions, create visualizations, and support analytical tools, following software engineering best practices for version control, testing, and documentation.
• Collaborate with multidisciplinary teams including intelligence analysts, domain scientists, and computer scientists in building research prototypes and capabilities.
• Contribute to technical reports, internal presentations, and peer-reviewed publications and conference papers.
• Perform other duties as assigned.

Qualifications

• Ability to secure and maintain a U.S. DOE Q-level security clearance, which requires U.S. citizenship.
• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, Physics, or a related technical field.
• Experience with Python programming and software development, including version control (Git), testing, and documentation (through academics, internships, or research projects).
• Demonstrated experience developing generative AI solutions, such as building applications with LLMs, implementing retrieval-augmented generation (RAG), fine-tuning foundation models, or engineering LLM-driven data pipelines.
• Experience in the space domain, such as space domain awareness, satellite operations, orbital analysis, or applying data science methods to space-related datasets.
• Sufficient communication and interpersonal skills necessary to collaborate in a multidisciplinary team environment and present technical information to varied audiences.

Qualifications We Desire

• Master’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related technical field.
• Experience building LLM-driven workflows for automating question-answering, summarization, or structured report generation.
• Experience constructing knowledge graphs from extracted entities and relationships and applying graph-based retrieval (e.g., graph-RAG) to enable intelligent querying over complex domains.
• Experience developing AI agents or chatbot interfaces — using frameworks such as LangChain, LlamaIndex, or similar — that allow end users to interact with underlying data and models through natural language.
• Track record of publications, conference presentations, and deployed prototypes.

Pay Range

$121,830 - $154,500 Annually

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting; pay will not be below any applicable local minimum wage. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs.

Pay Range

Additional Information

#LI-Hybrid

Position Information

This is a Career Indefinite position, open to Lab employees and external candidates.

Why Lawrence Livermore National Laboratory?

• Included in 2026 Best Places to Work by Glassdoor!
• Flexible Benefits Package
• 401(k)
• Relocation Assistance
• Education Reimbursement Program
• Flexible schedules (*depending on project needs)
• Our values - visit https://www.llnl.gov/inclusion/our-values

Security Clearance

This position requires a Department of Energy (DOE) Q-level clearance.  Also, you must have the ability to obtain and maintain Sensitive Compartmented Information (SCI) access.  If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship.

Pre-Employment Drug Test

External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.

Wireless and Medical Devices

Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession.  This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.

If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas.  Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.

How to identify fake job advertisements

Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.

To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf

Equal Employment Opportunity

We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.

Reasonable Accommodation

Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory.  If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.

California Privacy Notice

The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.

Headquarters: Berlin & Remote

Your mission

Do you have what it takes to envision an amazing product in content and software, work with product managers and strategists to create technology and implement new features creatively and quickly?

• Develop, optimize, and maintain both frontend and backend codebases, ensuring a seamless, highly responsive user interface experience

• Work on eye-level with our founder and our technical team to integrate generative AI systems into our platform to enhance user experience and drive monetization

• Understand business needs, translate them into technical requirements, and implement these requirements into the application

• Proactively handle ambiguity and change in a startup environment, evolving the technology stack to meet business needs and objectives

Your profile

• You possess a Bachelor's degree in Computer Science or a related field, and have a proven track record of excellence in Full-Stack development with a minimum of 1-2 years of full-time experience

• Proficient in multiple programming languages (such as JavaScript, Python) and have hands-on experience with modern web frameworks (like Vue,js, Nuxt.js, React or Node.js) and databases (SQL, NoSQL)

• Prior experience or strong interest in AI, machine learning, or music technology is a significant advantage

• You thrive in fast-paced environments, are comfortable dealing with high degrees of ambiguity, and demonstrate strong problem-solving skills

Why us?

• Be one of the first employees of our young startup with attractive equity packages and a competitive salary

• Flat hierarchies, mutual appreciation, and a collaborative atmosphere in an international, young, and dynamic team

• High flexibility around working time and working remotely

About us

Melotech is on a mission to revolutionize the entertainment industry, using generative AI models to create music and videos at scale. We are still in stealth, but our Founder is an experienced Entrepreneur and Investor. Our funding comes from leading VCs and Angels, including Cherry Ventures and SpeedInvest.

To apply: https://weworkremotely.com/remote-jobs/melotech-full-stack-developer

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role:

We are seeking a talented and motivated AI Engineering Intern who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will join our Data Science team and play a key role in designing and building foundational A.I. systems at Sezzle.

What You’ll Do:

• Design A.I. systems from the ground up
• Generate reliable and accurate training data for our A.I. systems
• Collaborate closely with engineers, data analysts, and business end users to build effective systems
• Write accurate and efficient SQL queries

What We Look For:

• Proficiency in SQL and Python
• Solid understanding of data analysis and database structures
• Currently enrolled in a postsecondary institution studying MIS, Business
• Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication.
• Analytics/Data Analytics, Computer

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit- you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results- you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Interview Process:

We believe transparency is important at Sezzle. Regularly providing feedback while setting expectations is part of our culture starting with the interview process. Advancement through each step is not guaranteed.

• Application submitted (you are here)
• Wonderlic test (30-40 min)
• SQL and Python Questions (30 minutes)
• Interview with recruiters (30 min)
• Interview with engineers (1 hour)
• Interview with engineering leadership (30-45 min)
• Offer!

Sezzle’s Technology Stack:

• Languages: Golang, Typescript, Python
• Frontend: Typescript - React and React Native
• Backend: Golang
• Database: MySQL, Postgres, Elasticsearch
• DevOps & Cloud: AWS, Kubernetes
• Version Control: Git
• CI/CD: Gitlab
• Testing: Developer-driven, focus on automated unit, integration, and end-to-end tests
• Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

Contract Type: Independent Contractor.

Compensation: The salary for the A.I. Engineering Intern is 1000 USD monthly gross.

#Li-remote #Full-time

Mindrift is looking for skilled Frontend Developers (HTML/CSS/JavaScript, React/Next.

Headquarters: Mumbai, MH

Mactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure. We collaborate with customers to strategize, navigate, and accelerate an ideal path forward with a digital transformation via assessments, migration, or modernization.
We are seeking a passionate and detail-oriented Full Stack Developer (Associate) with 2+ years of experience to join our team. In this role, you will build and maintain marketing web pages, develop interactive demos using cutting-edge AI tools (such as v0 and Lovable), and contribute to both front-end and back-end infrastructure. This is a hands-on role where you’ll code daily, collaborate with cross-functional teams, and help shape engaging digital experiences for our customers.

What you will do

• Build and maintain marketing pages and interactive demos leveraging AI tools (e.g., v0, Lovable).
• Develop high-quality, testable, and efficient code that can scale to serve a significant number of users.
• Architect, implement, and drive improvements to front-end and back-end infrastructure.
• Ensure proper implementation of security and data protection measures.
• Follow full lifecycle software development practices, including design, coding, testing, deployment, and maintenance.
• Collaborate with design and marketing teams to deliver seamless, responsive user experiences.
• Identify opportunities to enhance user engagement through innovative tech solutions.
• Stay updated on emerging trends in web development and inform senior leadership of new tech ideas, products, and approaches that could improve business growth and customer experiences.
• Adhere to cloud application development practices and create high-quality, testable, and efficient code that can scale with a significant number of users.

What you need for this opportunity

• Bachelor's degree in Computer Science, Computer Engineering, or related field.
• 2+ years of hands-on experience in full-stack development.
• Proficiency with MongoDB, Express.js, React.js, Node.js, HTML, and CSS.
• Strong understanding of RESTful APIs and service security best practices.
• Familiarity with GitHub and collaborative coding practices.
• Experience in building highly scalable, data-intensive products.
• Proficiency with OOP languages and solid problem-solving skills.
• Knowledge of responsive design techniques and mobile-first development.
• Strong communication and collaboration skills, with the ability to work in a fast-paced startup environment.

You are preferred if you have

• Experience/ Knowledge working with Ecommerce portals.
• Unit Testing frameworks and tools (Karma, Mocha, Jasmine, Jest, etc)

Life at Mactores
We care about creating a culture that makes a real difference in the lives of every Mactorian. Our 10 Core Leadership Principles that honor Decision-making, Leadership, Collaboration, and Curiosity drive how we work.
1. Be one step ahead2. Deliver the best3. Be bold4. Pay attention to the detail5. Enjoy the challenge6. Be curious and take action7. Take leadership8. Own it9. Deliver value10. Be collaborative
We would like you to read more details about the work culture on https://mactores.com/careers 
The Path to Joining the Mactores TeamAt Mactores, our recruitment process is structured around three distinct stages:
Pre-Employment Assessment: You will be invited to participate in a series of pre-employment evaluations to assess your technical proficiency and suitability for the role.
Managerial Interview: The hiring manager will engage with you in multiple discussions, lasting anywhere from 30 minutes to an hour, to assess your technical skills, hands-on experience, leadership potential, and communication abilities.
HR Discussion: During this 30-minute session, you'll have the opportunity to discuss the offer and next steps with a member of the HR team.
At Mactores, we are committed to providing equal opportunities in all of our employment practices, and we do not discriminate based on race, religion, gender, national origin, age, disability, marital status, military status, genetic information, or any other category protected by federal, state, and local laws. This policy extends to all aspects of the employment relationship, including recruitment, compensation, promotions, transfers, disciplinary action, layoff, training, and social and recreational programs. All employment decisions will be made in compliance with these principles.

Note: Please answer as many questions as possible with this application to accelerate the hiring process.

To apply: https://weworkremotely.com/remote-jobs/mactores-full-stack-developer

Based in San Francisco, Arine is a rapidly growing healthcare technology and clinical services company with a mission to ensure individuals receive the safest and most effective treatments for their unique and evolving healthcare needs.

Frequently, medications cause more harm than good. Incorrect drugs and doses costs the US healthcare system over $528 billion in waste, avoidable harm, and hospitalizations each year. Arine is redefining what excellent healthcare looks like by solving these issues through our software platform (SaaS). We combine cutting edge data science, machine learning, AI, and deep clinical expertise to introduce a patient-centric view to medication management, and develop and deliver personalized care plans on a massive scale for patients and their care teams.

Arine is committed to improving the lives and health of complex patients that have an outsized impact on healthcare costs and have traditionally been difficult to identify and address. These patients face numerous challenges including complicated prescribing issues across multiple medications and providers, medication challenges with many chronic diseases, and patient issues with access to care. Backed by leading healthcare investors and collaborating with top healthcare organizations and providers, we deliver recommendations and facilitate clinical interventions that lead to significant, measurable health improvements for patients and cost savings for customers.

Why is Arine a Great Place to Work?:

Outstanding Team and Culture - Our shared mission unites and motivates us to do our best work. We have a relentless passion and commitment to the innovation required to be the market leader in medication intelligence.

Making a Proven Difference in Healthcare - We are saving patient lives, and enabling individuals to experience improved health outcomes, including significant reductions in hospitalizations and cost of care.

Market Opportunity - Arine is backed by leading healthcare investors and was founded to tackle one of the largest healthcare problems today. Non-optimized medications therapies which cost the US 275,000 lives and $528 billion annually.

Dramatic Growth - Arine is managing more than 18 million lives across prominent health plans after only 4 years in the market, and was ranked 236 on the 2024 Inc. 5000 list and was named the 5th fastest-growing company in the AI category.

The Role:

We are looking for an AI Engineering Intern to join our Team for the summer. This role is designed for a current graduate student, recent graduate, or someone with equivalent early-career experience who is passionate about using advanced statistical methods and AI tools to improve population health and reduce the total cost of care through medication optimization at a health-plan scale.

Internship Focus Areas:

1. SOAP Note Transformation: You will focus on the AI logic required to convert unstructured call summarizations into high-quality, clinical-grade SOAP (Subjective, Objective, Assessment, and Plan) notes. This includes leveraging foundation models like Claude 3.5 Sonnet to extract structured clinical facts from live transcripts.

Prompt Generation & Agent Behavior: You will help build Arine’s prompt generation, defining guardrails and determining how the agent should respond to questions or comments from the stakeholder it is talking to. This work ensures complex, human-aware AI engagement that understands patient sentiment and care gaps in real-time.

Qualifications:

• Experience with LLMs (e.g., Claude, GPT-X) and prompt engineering.
• Familiarity with AWS (Bedrock, Lambda) and Python.
• Experience with Azure (AI Foundry)
• Interest in healthcare technology and clinical documentation workflows.

Nice to Have:

• Experience with Claude
• Healthcare or startup experience

Requirements:

• Must live in and be eligible to work in the United States.
• Stable high-speed internet connection and a private work area for HIPAA compliance.
• Ability to pass a background check and complete Information Security/HIPAA training upon hire.

Compensation Range: $25.00

#LI- Remote

Job Requirements:

• Ability to pass a background check
• Must live in and be eligible to work in the United States

Information Security Roles and Responsibilities:

All staff at Arine are expected to be part of its Information Security Management Program and undergo periodic training on Information Security Awareness and HIPAA guidelines. Each user is responsible to maintain a secure working environment and follow all policies and procedures. Upon hire, each person is assigned and must complete trainings before access is granted for their specific role within Arine.

Arine is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace where all employees are treated with fairness and respect. We do not discriminate on the basis of race, ethnicity, color, religion, gender, sexual orientation, age, disability, or any other legally protected status. Our hiring decisions and employment practices are based solely on qualifications, merit, and business needs. We encourage individuals from all backgrounds to apply and join us in our mission.

Check our website at https://www.arine.io. This is a unique opportunity to join a growing start-up revolutionizing the healthcare industry!

Job Offers: Arine uses the arine.io domain and email addresses for all official communications. If you received communication from any other domain, please consider it spam.

Note to Recruitment Agencies: We appreciate your interest in finding talent for Arine, but please be advised that we do not accept unsolicited resumes from recruitment agencies. All resumes submitted to Arine without a prior written agreement in place will be considered property of Arine, and no fee will be paid in the event of a hire. Thank you for your understanding.

Company Description

We help clients succeed by unlocking new value through expertise, trust and scale. We deliver solutions that solve complex challenges faced by asset managers, financial institutions, corporates, high net-worth individuals and family offices.

With a curious mindset, we ask the right questions to get to the right solution, faster. We collaborate to win together, sharing successes and shaping the future of our global business. Our culture of support and recognition provides the tools and opportunities for you to grow, while unlocking the most value for our clients and making your mark with Ocorian.

Expertise: We deliver specialist, tech-enabled solutions for our clients grounded on deep industry expertise.

Trust: We’re a trusted partner to over 8,000 clients globally. We are proud to have long-lasting partnerships with our clients.

Scale: With more than 1,500 colleagues, we operate across 20+ countries, our scale enables us to support our clients globally and locally, providing a seamless client experience across borders and service lines.

What’s In It For You

• Competitive salary
• Private Pension Plan fully paid by the company after probation
• Private medical insurance with Catastrophe cover fully paid by the company
• Employee recognition program and spot bonuses

Job Description

As a Junior Developer, you will be an integral part of our software development team, responsible for designing, developing, testing, and deploying software solutions using C#, .NET, and Azure Cloud technologies. You will work closely with senior developers and project managers to gain hands-on experience and contribute to the successful delivery of projects within Ocorian.

You will gain knowledge of the core systems used at Ocorian such as NavOne, Viewpoint and iManage as well as gain insight into the financial services sector.

Main Responsibility

• Assisting the development manager with all aspects of software design and coding.
• Attending and contributing to company development meetings.
• Learning the codebase and improving your coding skills.
• Writing and maintaining code.
• Working on minor bug fixes.
• Monitoring the technical performance of internal applications.
• Responding to support requests for the development team.
• Writing reports and designing dashboards.
• Conducting development tests.

#LI-DR1

#LI-Hybrid

Qualifications

• Bachelor’s degree in Computer Science or a related field
• Foundation in C#, .NET is a plus
• Knowledge of software development best practices, including version control, code reviews, and testing methodologies
• Experience with software development tools such as Visual Studio, Git, and Azure DevOps
• Familiarity with cloud computing concepts and Azure services would be an advantage
• Knowledge of Microsoft SQL
• Good communication and problem-solving skills
• Ability to work collaboratively in a team environment

Additional Information

All staff are expected to embody our core values that underpin everything that we do and that reflect the skills and behaviours we all need to be successful.  These are:

• We are CLIENT CENTRIC – Clients are at the centre of our world, and we’re committed to providing expertise and specialist solutions to meet their most complex challenges.
• We are AMBITIOUS – We aim high. We think and act globally, seizing every opportunity to delight our clients and support our colleagues - wherever in the world they may be.
• We are AGILE – We act on our initiative to get things done for our clients. Our independence gives us the flexibility and freedom to keep things simple, efficient and effective.
• We are COLLABORATIVE – With a curious mindset, we ask the right questions to get to the right solution, for our clients faster. We collaborate to win together and share our successes.
• We are ETHICAL– We behave with integrity at all times and assume positive intent, building trust through responsible actions and honest relationships.

Equal Opportunities for Everyone

Please let us know if there’s anything we can do to make the process easier for you. You can reach us at [email protected].

We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.

Headquarters: Remote - Canada

About Us

Ada is an AI customer service company whose mission is to make customer service extraordinary for everyone. We're driven to raise a new standard of quality customer service at scale, enabling enterprise companies to deliver experiences that people love–instant, proactive, personalized, and effortless.

Ada is an AI transformation platform and partner—combining strategic expertise with powerful AI agent management technology to accelerate businesses’ AI maturity to keep them ahead of the curve. With Ada, 83% of customer conversations—and counting—are effortlessly resolved through automation, giving teams more time back, companies more resources to focus on growth, and customers more life to focus on what matters most to them.

Established in 2016, Ada is a Canadian company that has powered over 5.5 billion interactions for leading brands like Square, YETI, IPSY, and Monday.com, saving millions of hours of human effort. Backed with over $250M in funding from tier-one investors including Accel, Bessemer, FirstMark, Spark, and Version One Ventures, Ada is a pioneer in the management and application of AI in customer service.

At Ada, we see growth as a reflection of each individual owner’s personal growth. That’s why our values are rooted in driving progress and continuous improvement. If you’re ambitious and eager to grow, Ada could be the place for you.

Learn more at www.ada.cx.

We are seeking a dynamic and talented Undergraduate DevOps Intern/Co-op to join our DevOps team! Our DevOps/SRE team works behind the scenes to maintain reliability, observability, and automation for our systems. This experience provides a unique opportunity for 2nd or 3rd or 4th-year undergraduates to apply their skills and learn from experienced professionals. 

At Ada, our program runs for 4 months, with contract dates being May 6 to August 28, 2026. 

What You’ll Do:

• Support the DevOps team in maintaining and improving Ada’s infrastructure


• Debug incidents, triage issues, and help resolve system failures


• Jump into small but meaningful projects involving AWS, Terraform, monitoring, CI/CD


• Help build scripts, automations, and tooling to improve operational efficiency


• Work with observability stacks (e.g. Datadog, CloudWatch) to build dashboards, alerts, and health checks


• Collaborate with software engineers, security team, and platform engineers to deliver reliable services

About You:

• Pursuing a degree in Computer Science, Engineering, or related


• Familiar with Linux fundamentals (shell, permissions, processes)


• Basic understanding of networking (TCP/HTTP, ports, firewall rules)


• Exposure to cloud (AWS preferred) and/or infrastructure-as-code (Terraform / CloudFormation)


• Shows curiosity, grit, and a diagnostic mindset


• Strong communication — you should be able to explain what you’re doing, why, and how to others

Nice-to-Have:

• Experience with Terraform


• Knowledge of monitoring / logging tools (Datadog, Prometheus, CloudWatch)


• Familiarity with CI/CD (GitHub Actions, GitLab, CircleCI)


• Basic scripting in Bash, Python, or similar

What You’ll Learn:

• Real-world DevOps / infrastructure practices


• How to diagnose production-level issues


• Building and scaling cloud infrastructure


• Observability and incident response


• Working in a cross-functional team in a fast-paced environment

Perks:

• Mentorship from experienced engineers


• Hands-on impact on infrastructure used by production systems


• Flexible hours / remote option

#LI-NS

Benefits & Perks

At Ada, you’ll not only build extraordinary products but also thrive in an environment designed for your success. We prioritize your well-being, growth, and work-life balance. Here’s what we offer:

Benefits

• Unlimited Vacation: Recharge when you need to.


• Comprehensive Benefits: Extended health coverage, dental, vision, travel, and life insurance.


• Wellness Account: Empowering you to invest in your overall well-being and lifestyle.


• Employee & Family Assistance Plan: Resources to support you and your loved ones.

Perks

• Flexible Work Schedule: Balance your work and personal life.


• Remote-First, In-Person Friendly: Options to work from home or at our local hub.


• Learning & Development Budget: Invest in your long-term growth goals and skills.


• Work from Home Budget: Equipping you with the tools and support for a seamless remote work experience.


• Access to Cutting-Edge AI Tools: Work with the best AI tech stack in the industry.


• Hands-On with LLMs: Enhance your expertise in leveraging large language models.


• A Thriving Industry: Join the forefront of innovation in AI, shaping the future of technology.

The above Benefits and Perks only apply to full-time, permanent employees.

As part of our recruitment process, we may use AI enabled tools to support certain aspects of hiring, such as interview note-taking. All hiring decisions are made by our team.

Thank you for your interest in joining us at Ada. Due to the high volume of applications, we will only contact candidates whose qualifications match closely to the requirements of the position. We appreciate the time you have invested in learning more about us.

To apply: https://weworkremotely.com/remote-jobs/us-ada-devops-intern

As a Junior Frontend Game Developer, you will create engaging and responsive user interfaces for web-based games and gaming platforms.

Who We Are

Kargo creates powerful moments of connection between brands and consumers to build businesses. Every day, our 600+ employees work to radically raise the bar on what agentic AI, CTV, eCommerce, social, and mobile can do to deliver unique ad experiences across the world’s most premium platforms. Taking a creative science approach to all we do, we continuously innovate solutions that outperform industry benchmarks and client expectations. Now 20+ years strong, Kargo has offices in NYC, Chicago, LA,  Dallas, Sydney, Auckland, London and Waterford, Ireland.

Who We Hire

Techies who want to build the future. Creatives who want to design it better. Communicators to win business. Collaborators to build it. Data pros who turn numbers into insights. Product builders who turn ideas into innovations. Anyone eager to be on a team that doesn’t stop to ask what’s next, because they’re already building it.

Mission

Build and maintain the ML training, inference, and serving pipelines that power Kargo’s auction optimization, outcome prediction, and content recommendation systems. This role takes models from data science prototypes into production environments where they directly influence bid pricing, pacing, CTR prediction, and audience targeting at programmatic scale. Success means reliable, observable, and continuously improving ML systems that move revenue metrics.

This is a hybrid role requiring onsite presence 4 days per week.

Outcomes — What Success Looks Like in 6–12 Months

• Production pipelines shipped: Independently own the deployment of at least 2-3 ML models into production (batch or real-time), including training pipelines, inference endpoints, and monitoring — with documented latency, throughput, and accuracy SLAs met.
• Inference reliability improved: Reduce model serving incidents or latency regressions on owned systems by a measurable margin (e.g., p99 latency, error rate, or successful retraining cadence) compared to baseline at start of tenure.
• MLOps infrastructure contributions: Deliver meaningful improvements to shared ML infrastructure — CI/CD for ML workflows, feature pipelines, model registry, or monitoring tooling — that other engineers and data scientists adopt.
• Cross-functional model launches: Partner with Data Science and Product to productionize at least one revenue-impacting model (auction optimization, CTR/viewability prediction, or recommendation) with clear before/after business metrics.
• Operational ownership: Establish monitoring, alerting, and retraining workflows for production models you own, with documented runbooks and minimal escalations to senior engineers for routine issues.

Skills — Core Technical Capabilities

Required:

• 2-4 years building and deploying ML systems in production; strong Python (C++ a plus)
• Hands-on experience with ML frameworks (PyTorch, TensorFlow, or similar) across the full lifecycle: training, evaluation, deployment, monitoring
• Working knowledge of AWS (SageMaker, EC2, Lambda) or comparable cloud ML services
• Proficiency with large-scale data tooling — SQL, Spark, and Snowflake or equivalent warehouse
• Experience implementing CI/CD pipelines for ML workflows and model serving infrastructure (logging, versioning, lifecycle management)
• Solid grasp of feature engineering, data processing, and debugging production model performance issues

Preferred:

• Experience with model serving frameworks (Triton, FastAPI), containerization (Docker, Kubernetes), or IaC tooling
• Exposure to AdTech, real-time bidding, LLMs/embeddings, or other high-scale distributed systems

Competencies — Behaviors We Like to See

Production Mindset

• Thinks beyond model accuracy to latency, cost, reliability, and observability from day one
• Writes code and pipelines that other engineers can run, debug, and extend without hand-holding

Cross-Functional Translator

• Bridges data science intent and engineering reality — can push back on a model design that won’t scale, and explain why in terms a PM understands
• Comfortable pairing with data scientists to harden prototypes and with platform engineers to integrate into the broader stack

Bias for Shipping

• Defaults to small, instrumented launches over large, unmonitored ones; iterates on production signal
• Unblocks themselves on ambiguous problems and asks for help with a clear hypothesis, not a blank slate

Operational Ownership

• Treats models as living systems — sets up monitoring, owns the on-call when something drifts, and follows through on retraining
• Documents what they build so the next person (or the next quarter’s Lanissa-era hire) can pick it up cleanly

In accordance with applicable federal, state, and local pay transparency laws, the anticipated base salary range for this position is listed below. Actual compensation may vary based on factors such as geographic location, work experience, education, and skills.

U.S Salary Range

$90,000—$110,000 USD

Our Laurels

• AdAge Best Places to Work
• ThinkLA Partner of the Year
• Built In Best Places to Work
• Cynopsis 2025 Top Women in Media - Jeannine Shao Collins
• Martech Breakthrough Awards - Best Overall Adtech Company
• Digiday Media Awards Best Event
• Cynopsis Media Impact Awards-Best CTV Platform
• Martech Breakthrough Awards-CTV Innovation
• Adweek Media Plan of the Year Awards - Best Use of Insights

Follow Our Lead

• Big Picture:  kargo.com
• The Latest:  Instagram (@kargomobile) and LinkedIn (Kargo)

Kargo is an Equal Opportunity Employer. We are committed to building an inclusive and diverse workplace where all employees and applicants are treated with respect and dignity. We do not discriminate on the basis of race, color, ethnic origin, religion or belief, sex, sexual orientation, gender identity or expression, age, disability, marital or family status, national origin, veteran status, or any other characteristic protected by applicable local, state, or federal law. All qualified applicants will receive consideration for employment.

Pursuant to applicable fair chance laws, including the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Kargo will consider qualified applicants with arrest and conviction records for employment.

Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, and guest engagement solutions enable brands to do more with less and make every guest feel like a regular.

While our roots are in NYC, we’re intentionally investing in Belfast and Northern Ireland as a key hub, with an established leadership presence, a local team, and community for the long term. This role is fully remote, offering you flexibility to work from anywhere within NI.

Your new role

We are looking for a talented Associate Software Engineer to join our Engage Suite. Our software products help our brands harness guest data across their tech stack to boost retention, reduce acquisition costs, and do more with less. We handle restaurant event data in the scale of billions of events per month. We aim to collaborate well. We encourage new ideas and experimentation. No part of the codebase is off-limits. You’ll work with a passionate team dedicated to delivering amazing products using modern technologies.

How You’ll Make an Impact

• Develop an understanding of the team’s domain and technology stack and actively seek guidance to grow technical expertise.

• Handle small-to-medium features with support from more senior engineers, ensuring tasks are completed according to set timelines.

• Write code adhering to established coding standards and participates in code reviews to learn best practices.

• Collaborate with team members to understand feature requirements and implement solutions with guidance.

• Focus on building reliable and maintainable software components, contributing to team deliverables with a focus on quality.

• Utilise version control systems to manage code changes and maintain a consistent development workflow.

• Participate in team meetings and sprint ceremonies, such as daily stand-ups and sprint retrospectives, contributing updates and feedback.

• Engage in learning activities, including game days and training sessions, to build familiarity with the company’s tools and processes.

• Troubleshoot and debug issues with guidance, learning to identify and resolve common software bugs.

• Demonstrate a willingness to collaborate with other engineers and stakeholders, developing teamwork skills necessary for larger projects.

• Demonstrate ownership of the team’s delivery pipeline, ensuring that code quality, testing standards, and deployment practices are continuously optimised.

• Active participation in on-call duties is required, with specific responsibilities determined by your assigned team and area of expertise.

What Will Set You Up for Success

• Bachelor’s Degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.

• Minimum of one year industry experience in a Software Engineering/Development position (post academic studies)

• Our core stack is Node.js and Javascript along with tools such as Postgres, Elasticsearch, Redis, Sns/Sqs, Kubernetes, Helm, CI/CD, etc.

• Unit Testing: Familiarity with writing unit tests to validate small software components and test-driven development frameworks (e.g., NUnit, Jest).

• Distributed Systems Fundamentals: Basic understanding of how distributed systems work, focusing on building reliable components.

• Collaboration Tools: Experience using collaboration platforms for development, such as Jira, Confluence, and GitHub.

About Olo

Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at olo.com.

Applicant Privacy Notice (United Kingdom)

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About EarnIn

As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks.

We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey.

POSITION SUMMARY

We have a real passion for delivering the best product experience for our community members. We work closely with all teams and share responsibility for rapidly delivering production-ready features to our community. We build or contribute to infrastructure, reliability tooling, and practices that help teams ship quickly and safely. We think a lot about things like good alert hygiene, friendly runbooks, clear SLOs, and how to make deployments feel boring in the best possible way. As an SRE, you are a well-rounded practitioner in designing, observing, and operating our systems in production. Rather than following established playbooks, you are starting to write them. You work with confidence across observability tooling, incident response, and infrastructure-as-code, and you know how to communicate tradeoffs clearly to the engineers and teams around you. This position will be hybrid, based in our Bengaluru office, with 2 days a week required in the office, as part of our expanding site. EarnIn provides excellent employee benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to collaborate with and travel to our Palo Alto HQ and Bangkok Site. Our salary ranges are determined by role, level, and location. We are unable to provide visa sponsorship or immigration support for this position. We are unable to provide visa sponsorship or immigration support for this position.

WHAT YOU’LL DO

• Design systems with resilience, graceful degradation, and capacity in mind.
• Define and measure SLOs and SLIs that actually reflect what our customers feel.
• Use Datadog (logging, metrics, APM) together with CloudWatch to build signal-heavy, noise-light observability.
• Configure alerting and routing that reach engineers through incident.io, where we run incident management and on-call, so that when a human gets paged, it really matters.
• Continuously improve our incident lifecycle, from fast detection and solid triage, through clear communication, to blameless, actionable follow-ups.
• You will combine solid software fundamentals with reliability thinking so our systems are highly available, easy to debug, and a joy to work on. You know that the only good 2 a.m. alert is the one that never fires in the first place.

WHAT WE’RE LOOKING FOR

• You have a software background and a genuine curiosity about how large-scale systems behave in production.
• You ask good questions, document what you learn, and share it back with the team.
• You are calm under pressure, excited to learn from incidents rather than fear them, and willing to be on-call.
• You collaborate well and believe that transparency and documentation make teams stronger, not slower.
• You are genuinely excited about AI, not just as a productivity tool, but as a platform for building smarter, more autonomous SRE operations. You build with it, validate what it produces, and push its limits responsibly.
• You believe observability is fundamental, not optional, and you want to understand the ‘why’ behind every alert.
• You are a quick learner who adapts to new technical environments and is comfortable with ambiguity.
• Bachelor’s degree in Computer Science, Engineering, or a related field
• 1+ years of hands-on experience in an SRE, DevOps, or Software Engineering role (internships count).
• Coding proficiency in Python, Go, or a similar language; automation experience is a strong positive signal.
• Some exposure to cloud infrastructure (AWS preferred) and containerization (Docker, Kubernetes).
• Familiarity with monitoring concepts: you have worked with metrics, logs, or traces and want to go deeper.
• Awareness of SLOs and SLIs as concepts – you understand why reliability matters to end users, not just to ops teams.
• Active, enthusiastic use of AI productivity tools (Cursor, Claude Code, GitHub Copilot) for coding, debugging, and infrastructure work. This is a non-negotiable baseline: all engineering roles at EarnIn require AI fluency.
• At least one example of using an LLM or AI agent to automate a task or accelerate debugging. A personal project, internship deliverable, or coursework example is fine.
• Eagerness to build agentic AI workflows: automating alert-to-Slack pipelines, drafting postmortem summaries, building runbook bots, or similar. You know this is the future of SRE, and you want to be at the front of it.
• Clear, honest communication: you update your team on blockers, share what you learn, and ask for help without hesitation.

#LI-Hybrid

At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant.

EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.

USRC’s greatest strength in being a leader in the dialysis industry is our ability to recognize and celebrate the differences in our diverse workforce. We strongly believe in recruiting top...

Company DescriptionAt Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together,...

Position Summary:

The candidate will be responsible for the configuration and delivery of client-facing applications.  The candidate may assist with support for the development of process enhancements under the guidance of the Sr. Software Engineer and the Manager, Technical Operations. Responsibilities will also include day-to-day maintenance of the health care application systems in operation, including tasks related to identifying and troubleshooting application issues and issues resolution or escalation, root cause analysis, manage communication and client relationship management in partnership with Infrastructure Service Support team members.

Essential Functions of the Job include but are not limited to:

• Prepare, transform, and structure client‑specific data exactly as per requirements gathered by Engagement and Product teams, while adhering to Medical, Legal, and Regulatory (MLR) guidelines.
• Design, generate, and maintain baseline and customised messaging datasets (categories, key messages, content, footnotes, metadata) used across IVA client demos, frameworks, and productions.
• Process and integrate data received from multiple third‑party vendors per client, applying business logic and transformation rules to produce client‑ready datasets.
• Represent the Data Operations / Data Engineering function on all active client and product initiatives.
• Participate in daily data operations and development stand‑up meetings to review data readiness, defects, transformations, and deployments.
• Follow established change‑management procedures for data updates, transformations, and environment promotions.
• Document and maintain data pipelines, transformation logic, and data standard operating procedures (SOPs).
• Create and maintain WIKI articles for reusable data processes, transformation patterns, and troubleshooting guides.
• Coordinate with Application Development, Product, and Front‑End teams to ensure data structures, tags (BR, span, classes), and attributes are optimized for UI rendering and configurability.
• Support and execute data deployments across multiple environments (Development, UAT, Production) using Octopus Deploy and controlled release processes.
• Manage and validate data flows from Goliath servers to Core servers and ultimately into Salesforce via stored procedures and Boomi ETL workflows.
• Set up and maintain data configurations for new client implementations, including environment‑specific data variations and vendor inputs.
• Assist in developing and maintaining automated data validation checks and regression test datasets to support future testing efforts.
• Measure and track data‑related KPIs such as data quality metrics, transformation accuracy, defect leakage, re‑processing rates, and turnaround times.

Future Functions of the Job include but are not limited to:

• Work closely with Product and Platform teams to support new data‑driven features, enhancements, and messaging capabilities.
• Ensure all data changes align with defined lifecycle methodologies, auditability requirements, and risk guidelines.
• Actively collaborate with end users, internal stakeholders, front‑end developers, external vendors, data analysts, and Engagement teams to resolve data issues and drive continuous improvement.
• Contribute to the evolution of scalable, reusable data models and messaging frameworks across products.

Minimum Required:

• Bachelor’s degree in Technology, Engineering, Data Science, Computer Science, or equivalent discipline.
• 1–3 years of experience in a data‑centric role such as Data Engineer, Data Analyst, Application Support (Data), or ETL / Integration role.
• Strong working knowledge of SQL and experience writing complex queries, stored procedures, and data validation logic.
• Hands‑on experience with data transformation and processing using SQL, scripting, or backend technologies (.NET / C#).
• Experience working with relational databases (SQL Server preferred).
• Understanding of Agile development methodologies and sprint‑based delivery.
• Experience with multi‑environment data handling (Dev, UAT, Prod).
• Operational knowledge of Azure DevOps, Team Foundation Server, Octopus Deploy, or similar tools.
• Basic understanding of HTML, tags, and structured content to support front‑end rendering requirements.
• Exposure to continuous integration and deployment concepts, especially for data pipelines.
• Experience with Salesforce or Veeva CRM data models is a plus.

Other Required:

• Working knowledge of US Healthcare or Market Access data concepts is a strong advantage.
• Familiarity with Azure hosting components and data‑related services.
• Ability to analyse and reconcile large datasets from multiple vendors and sources.
• May require domestic and/or international travel, including overnight stays, up to 5%.

Preferred Skills:

• Experience with ETL/ELT tools such as Boomi, SSIS, or similar integration platforms.
• Experience working with complex data models supporting front‑end applications.
• Knowledge of C#, .NET, or scripting used for data processing and transformation logic.
• Experience supporting Salesforce data integrations and environment‑specific configurations.
• Understanding of healthcare data standards and structures (HL7, FHIR preferred).
• Experience designing scalable, reusable, enterprise‑grade data solutions.
• Exposure to workflow engines and message‑driven architectures.
• Experience working with message queues or event‑based data processing.
• Strong analytical and problem‑solving skills with attention to detail and data quality.

Soft Skills:

• Communication Skills - Written, Verbal, and Presentation: The successful candidate must have the ability to read, analyze, and interpret production data, financial reports, and legal documents. Excellent verbal, written, presentation, interpersonal skills including ability to clearly respond to common inquiries or complaints from customers, employees, and members of the business community. Must possess a rapid agility to reply to emails, provide instructions of work stream necessities or issues encountered, business and report writings in a succinct and informative manner
• Business Judgment and Strategic Thinking: Ability to think, act, and deliver value in the best interest of our clients with respect to common practices of the healthcare consulting field. Ability to extrapolate from the specific to the general and interpret from the general to the specific
• Analytic Skills: Framing macro problems into action steps or work plans for resolutions. Structuring a persuasive client presentation based on in-depth or expansive excel spreadsheets. Demonstrable interpretive and solution identification skills with the ability to understand multiple types of quantitative and qualitative data heightened with strong resolution skills
• Collaboration and Teamwork: Ability to give and receive constructive feedback and work effectively across the organization to accomplish team goals is critical. The successful candidate must possess excellent judgment, management, and conflict resolution skills. Ability to work with team members to convey results, incorporate enhancements and productionize processes across projects
• Must be able to understand the dynamics of how a team interconnects and relies upon every member.
• Strategic Thinking: Conceptualize outside of the aspects of a project at hand, with an ability to visualize how the work contributes to and drives forward the overall project
• Solutions oriented: must be able to display resourcefulness and confidence under pressure
• Resilience: must be able to look past obstacles and roadblocks, ask questions and for support, and find their way around any obstacle

Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.

Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com.

It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.

About Quandela

Quandela stands as a global leader in quantum computing, driven by groundbreaking technology and a strategic vision for scaling quantum solutions. The company’s unique ability to offer both hardware and software solutions, along with its commitment to build energy efficient datacenters and scalability, positions it to play a key role in the next wave of innovation, and in many strategic and sovereign industrial sectors.

Join Us at the Forefront of Quantum Computing Innovation 🚀

Description of the Team

The internship will be conducted in the Photonic Integrated Circuits (PICs) department of Quandela. The PICs team works on the production and development of the optical processors of Quandela quantum computers, having in mind performance and scalability. In detail, the team members carry out electromagnetic and thermal simulations to estimate the performance of the integrated components, prepare PICs layouts to be fabricated in collaboration with external foundries, and take care of both the characterization and the packaging of the fabricated devices.

Your Key Responsibilities

You will work on the cryogenic characterization and packaging of the integrated photonics building blocks that will be used in the next generation quantum photonic processors of Quandela.

In detail, the characterization will involve the measurement of the main properties of components such as straight waveguides, directional couplers, polarization integrated splitters/rotators, spot-size converters, and electro-optic phase shifters in different materials such as SiN and LNOI. The characterization will be performed at room temperature and at cryogenic temperature (2-4 K), which involves realizing the packaging of chips with cryogenic application constraints. The activity could involve CAD design with commercial software and coding with Python for instrumentation control and data analysis.

Depending on your previous experience and on the duration of the internship, you will be responsible of some of the following activities:

• Optical probing of PICs with optical fibers, fiber arrays, and lenses

• Electrical probing of PICs by DC and RF probes

• Characterization of PICs performance at cryogenic temperature

• PICs packaging (optical and electrical) at room and/or cryogenic temperature

• Use of manual and motorized translation stages for precise alignment between PICs and probes

• Use of continuous operation and closed cycle cryocooler

• Use of CW lasers, polarization optics and driving electronics

• Writing of Python scripts for running the measurements and analyzing the retrieved data

• CAD design for fabricating mechanical pieces

• Enrollment for the whole duration of the internship in a MSc in Physics, Telecom/Electronics Engineering, Photonics, Quantum Technologies or related fields. This position is only valid with an Internship Agreement.

• General knowledge of how a photonic integrated circuit works: which are the main integrated components, which are their required performances and how to characterize them

• Use of equipment commonly found in a photonic laboratory, such as lasers, bulk optics, fibers, alignment stages…

• Python proficiency for equipment control and automated characterization routines

• Great skills in data analysis

• Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment

• Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams

• Strong communication skills in English and French

• Capability of running autonomously basic experiments after proper training

• Knowledge/experience in RF electronics, superconducting single photon detectors, and cryogenics in general is a plus

• Swile Card (meal vouchers) 🍴🛒

• 50% participation in transportation costs 🚆

• Possibility of remote work 💻

• Internship Allowance between €1,200 and €1,400 per month 💰

• 1,5 days off per month, cumulative 🧳

What we also offer

A challenging and innovative work environment at the heart of quantum computing.

A diverse and collaborative company culture.

Opportunities for professional growth and skill development.

At Quandela, we believe that the strength of our team is the plurality of experiences, perspectives, and journeys. We are committed to building a respectful, inclusive, and welcoming work environment. All applications are welcome.

Job Description

Within the Beams department, Controls Software and Services group, you will contribute to the evolution and consolidation of the operational tools used to control the accelerator complex. Working alongside a passionate team, you will help design and develop reliable backend solutions aligned with users’ needs, supporting the operation of the world’s largest particle physics laboratory.

Your responsibilities

• Contribute to the development, testing, and validation of software components of the CERN accelerator control system.
• Collaborate with stakeholders and users to understand requirements and support daily accelerator operations.
• Participate in the investigation, diagnosis, and resolution of operational problems in collaboration with physicists and accelerator operators.
• Collaborate with highly skilled software engineers both inside the BE-CSS group and across the CERN Accelerators & Technology sector.

More information here.

Your profile

• Initial experience in software development using Java/Spring.
• Experience writing clean, maintainable code and applying the related principles.
• Ability and motivation to learn and navigate large, complex codebases.
• Positive attitude and experience working in teams (academic or professional).

Skills

• Advanced knowledge of Java/Spring (Python is a plus).
• Concurrency and multithreading.
• Relational databases.
• Linux and container technology (Kubernetes is a plus).
• Testing, diagnosing and optimisation of software.
• Monitoring and troubleshooting of operational software systems.
• Spoken and written English, with a commitment to learn French.

Eligibility criteria:

• You are a national of a CERN Member or Associate Member State.
• By the application deadline, you have a maximum of two years of professional experience since graduation in Software Engineer (or a related field) and your highest educational qualification is either a Bachelor’s or Master’s degree.
• You have never had a CERN fellow or graduate contract before.
• Applicants without University degree are not eligible.
• Applicants with a PhD are not eligible.

Additional Information

Job closing date: 02.06.2026 at 23:59 CEST.

Contract duration: 24 months, with a possible extension up to 36 months maximum.

Working hours: 40 hours per week

Job flexibility: Hybrid

Target start date: 01-September-2026

Job reference: BE-CSS-DSP-2026-137-GRAE

Field of work: Software Engineering and IT

Benchmark job: 200020 - Computing Engineer

Global Benefits

• A monthly stipend between 5266-5793 Swiss Francs per month (tax free) depending on your degree.
• 30 days of paid leave per year plus 2 weeks annual closure.
• Coverage by CERN’s comprehensive health insurance scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund.
• Family, child and infant monthly allowances depending on your individual circumstances.
• A relocation package (installation grant and travel expenses) depending on your individual circumstances.
• Possibility to extend your contract up to 36 months.
• On-the-job and formal training including language classes.

Overview of CERN - Discover a world where the impossible is made possible!

At CERN, the European Organization for Nuclear Research, we are pushing the frontiers of science and technology. Our groundbreaking work brings together not only physicists but also a diverse range of professionals from engineering, technical, scientific, and administrative fields. Together, we foster an environment where innovation and collaboration thrive.

Every day, we face exciting new challenges and opportunities to contribute to cutting-edge research that shapes our understanding of the universe. We meet these challenges through the diverse perspectives within our teams, ensuring every contribution is valued and driving our shared sense of inclusion and purpose. Diversity is a core value of CERN since its foundation, and it remains central to our mission and continued success.

If you are ready to be part of a dynamic, inclusive community pushing the boundaries of knowledge, CERN is the place where your curiosity and skills can thrive. Be part of our mission to uncover what lies at the heart of the universe! TAKE PART!

More information about us, here: careers.cern

About Quandela: ​

Quandela stands as a global leader in quantum computing, driven by groundbreaking technology and a strategic vision for scaling quantum solutions. The company’s unique ability to offer both hardware and software solutions, along with its commitment to build energy efficient datacentres and scalability, positions it to play a key role in the next wave of innovation, and in many strategic and sovereign industrial sectors.​

Join Us at the Forefront of Quantum Computing Innovation 🚀​

Description of the Team

We are offering an incredible opportunity to join our team as a Software Validation Intern. This is your chance to gain hands-on experience in ensuring the quality and reliability of cutting-edge quantum computing solutions while working alongside industry leaders in a dynamic, international environment.

Your Key Responsibilities:

As a QA Engineer Intern, you will:

• Collaborate Across Teams: Work closely with QA and Development teams to understand project requirements and design effective test plans. As Quantum Application Team, Hardware Team, and Cloud Computing Platform to support the quality of software deliverables.

• Setup Testing Environments: Configure and maintain test environments to support efficient validation processes.

• Perform Functional Testing: Write and execute functional manual testing procedures, documenting and reporting results clearly.

• Develop Automated Tests: Write automated test scenarios using Gherkin syntax and generate automated reports to streamline quality assurance processes.

• Report Bugs Effectively: Create detailed, clear bug reports to ensure prompt resolution of issues.

• Document Processes: Maintain and update testing documentation to ensure consistency and accuracy.

• Currently pursuing a degree in Computer Science, IT, or a related field. This position is only valid with an Internship Agreement

• Ability to follow a structured development methodology.

• Strong analytical and problem-solving abilities.

• Familiarity with QA concepts, automated testing tools, and Gherkin syntax.

• A creative mindset with an energetic and autonomous work ethic.

• Excellent communication skills, both verbal and written.

• Willingness to collaborate within a multidisciplinary and international team.

• Strong English communication skills, both written and verbal.

• Swile Card (meal vouchers) 🍴🛒

• 50% participation in transportation costs 🚆

• Possibility of remote work 💻

• Internship Allowance between €1,200 and €1,400 per month 💰

• 1,5 days off per month, cumulative 🧳

What we also offer

A challenging and innovative work environment at the heart of quantum computing.

A diverse and collaborative company culture.

Opportunities for professional growth and skill development.

At Quandela, we believe that the strength of our team is the plurality of experiences, perspectives, and journeys. We are committed to building a respectful, inclusive, and welcoming work environment. All applications are welcome.

Quandela stands as a global leader in quantum computing, driven by groundbreaking technology and a strategic vision for scaling quantum solutions. The company’s unique ability to offer both hardware and software solutions, along with its commitment to build energy efficient datacenters and scalability, positions it to play a key role in the next wave of innovation, and in many strategic and sovereign industrial sectors.

Join Us at the Forefront of Quantum Computing Innovation 🚀

Join Our Team as a DevOps & Cloud-Native Specialist!

Are you passionate about cloud-native technologies and eager to dive into the world of DevOps?

We’re looking for a motivated intern to work closely with our DevOps and Engineering teams to work on daily DevOps tasks, manage and optimize the cloud.

You’ll also play a key role in setting up and maintaining monitoring tools for our web applications, ensuring performance, reliability, and scalability.

As part of our team, you will:

• You are pursuing a Master’s degree in Computer Science, Data Science, or related.  This position is only valid with an Internship Agreement

• Streamline Deployment: Develop and optimize CI/CD pipelines for automated deployment and testing.

• Access management: Securely manage access to cloud infrastructure, Git projects and server access.

• Collaborate with DevOps: Design, implement, and maintain containerized applications using Kubernetes.

• Environment Management: Assist in setting up and managing web environments, including development, staging, and production.

• Monitor & Troubleshoot: Monitor Kubernetes workloads, identifying and resolving performance and reliability issues.

• Leverage IaC Tools: Work with Infrastructure-as-Code (IaC) tools like Terraform and Ansible to automate infrastructure management.

• Document & Share: Create and maintain detailed documentation of processes, best practices, and system configurations to ensure team-wide alignment.

We’re looking for someone who demonstrates the following:

• DevOps Knowledge: A basic understanding of DevOps concepts, workflows, and best practices.

• CI/CD: Good understanding of deployment using Gitlab-ci and GitOps practice.

• Containerization Familiarity: Experience with Docker or similar containerization technologies.

• Kubernetes Skills: Knowledge of Kubernetes components such as Pods, Services, Deployments, and ConfigMaps.

• Scripting/Programming Skills: Familiarity with scripting or programming languages like Bash, Python, or Go is a plus.

• Infrastructure and cloud: Knowledge of cloud services using IaC (Terraform) and ansible.

• Communication Strengths: Strong written and verbal communication skills to effectively collaborate in a team environment.

• Creative & Proactive Mindset: Energetic, autonomous, and able to think creatively to solve complex challenges.

• Team Collaboration: Willingness to work in an international and diverse team setting.

• Swile Card (meal vouchers) 🍴🛒

• 50% participation in transportation costs 🚆

• Possibility of remote work 💻

• Internship Allowance between €1,200 and €1,400 per month 💰

• 1,5 days off per month, cumulative 🧳

What we also offer

A challenging and innovative work environment at the heart of quantum computing.

A diverse and collaborative company culture.

Opportunities for professional growth and skill development.

At Quandela, we believe that the strength of our team is the plurality of experiences, perspectives, and journeys. We are committed to building a respectful, inclusive, and welcoming work environment. All applications are welcome.

Description: DocMe360 is seeking a talented Junior Software Engineer to join our dynamic team.