AILabs Research Engineer

This position is a full-time position located exclusively in Paris, France

Imec AI Labs sits at the intersection of advanced AI systems and world‑leading semiconductor R&D. We build novel platforms, tools, and hardware–software stacks that power the next generation of large‑scale AI models and agentic systems.

What you will do

As a Senior Research Engineer, you will ensure that our researchers can iterate fast, scale experiments, and transform ideas into production‑ready AI demonstrators.

Infrastructure & MLOps

• Design, deploy, and maintain scalable cloud environments using Terraform and modern Cloud platforms.
• Operate and optimize GPU/HPC clusters, including Kubernetes‑based orchestration and scheduling.
• Build CI/CD pipelines that automate testing, evaluation, and deployment of models and tools.
• Support researchers in debugging distributed training issues, improving performance, and accelerating iteration.

Research Engineering – Prototypes & Demos

• Collaborate with scientists to turn research concepts into end‑to‑end prototypes.
• Containerize complex ML workflows, agentic systems, and experimental frameworks for reproducibility.

From Prototype to Production‑Grade Demo

• Harden prototype systems into stable, maintainable, demo‑ready products.
• Introduce testing, observability, monitoring, and robust deployment practices.

What we do for you

We are committed to being an inclusive employer and proud of our open, multicultural, and informal working environment with ample possibilities to take initiative and show responsibility. We commit to supporting and guiding you in this process; not only with words but also with tangible actions. Through imec.academy, 'our corporate university', we actively invest in your development to further your technical and personal growth. Your valuable contribution is appreciated by means of a market appropriate salary with many fringe benefits.

Who you are

Must-Have Skills

• 5 years experience in DevOps, MLOps, Platform Engineering or similar roles.
• Strong proficiency with Terraform and modern Cloud infrastructures (Azure or equivalent).
• Experience building CI/CD pipelines and automation workflows.
• Hands‑on experience with GPU workloads, distributed training, and cluster operation.
• Service‑oriented mindset: you enjoy supporting researchers and troubleshooting complex training issues.

Nice-to-Have (Bonus)

• Understanding of GPU hardware, networking, and performance optimization.
• Interest in semiconductor technologies or hardware‑software co‑design.