Mistral AI
Research Engineer, Code Agents Infra
Palo Alto · Hybrid · Full-time · Posted Aug 4, 2026
- Experience
- 4+ years in Systems Engineering, Distributed Systems, Cloud Infrastructure, or MLOps supporting LLM/RL workloads.
About the job
Build and operate the execution, training, and data infrastructure for Mistral’s agentic models and coding assistants.
What you'll do
- Design and operate large-scale sandboxing infrastructure for untrusted code execution.
- Build high-throughput pipelines for synthetic code, agent trajectories, rollouts, and self-play data.
- Optimize training and distributed execution systems, and maintain high availability across clusters.
What they ask for
- 4+ years of experience in Systems Engineering, Distributed Systems, Cloud Infrastructure, or MLOps supporting LLM/RL workloads.
- Proven experience building high-throughput data processing and generation pipelines for large-scale datasets.
- Strong Kubernetes and container expertise, including custom operators/controllers and Linux cgroups/namespaces.
- Advanced proficiency in Python, Go, C++ or Rust, with experience optimizing high-performance systems.
Nice to have
- Hands-on experience with lightweight virtualization, container runtimes, or WASM.
- Familiarity with task queues, resource schedulers, and low-latency queuing architectures.
Tools
PyTorch, Ray, SLURM, Kubernetes, CRIU, gVisor, Firecracker, Docker
AI focus
Build infrastructure for agentic models and coding assistants, including synthetic data generation, agent training, reinforcement-learning execution, and evaluation.
Model-written summary · the original posting is authoritative