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# Research Software Engineer

- **Company:** Mistral Inc
- **Location:** Paris, TX, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, C++ (Programming Language), Computer Clusters, Code Review, Nvidia CUDA, Continuous Integration, Programming Tools, Distributed Systems, Python (Programming Language), Machine Learning, Software Engineering, Data Processing, Kubernetes, Information Technology, Production Code, Free and Open-Source Software, Data Management, Slurm, Machine Learning Operations, Data Pipelines
- **Published:** November 4, 2026
- **Apply:** https://www.careerbuilder.com/job-details/research-software-engineer-paris-tx--95428141-5404-4912-a67d-89fba616845e

## About the Role

Software Engineering, Manufacturing, Programming Tools, Artificial Intelligence (AI), Government, Finance, Public Health, Team Player, Software Engineering, Data Management, * Master's in Computer Science (or equivalent experience).

 * 4 + years building and operating large-scale or distributed systems.
 * Strong software-design instincts: modular code, tests, CI/CD, observability.
 * Fluency in Python plus one systems language (C++, Rust, Go or Java).
 * Hands-on with container orchestration and schedulers (Kubernetes / K8s, SLURM, or similar).
 * Comfortable profiling performance, optimising I/O, and automating workflows.
 * Self-starter, low-ego, collaborative, high-energy.

Nice-to-haves

 * Exposure to ML workloads or data-processing pipelines.
 * Experience with GPU clusters or CUDA.
 * Open-source contributions or widely used internal tools.

## Description

As a Research Engineer on the software side, you will design and harden the codebase, tools and distributed services that let our scientists train and ship frontier-scale models. You do not need prior ML experience; what matters is writing clean, reliable code that scales.

You will join our Research Software Engineering team to build and maintain shared dev-tools, evaluation & data pipelines, training framework, cluster tooling and CI/CD., * Accelerate researchers by owning the complex parts of large-scale pipelines and delivering robust internal tooling.

 * Interface research with product: expose clean APIs, automate model pushes, surface live metrics.
 * Write efficient, well-tested Python and systems code; enforce code review, CI, and observability.
 * Design and optimise distributed services (Kubernetes / SLURM, thousands-of-GPU jobs).
 * Prototype utilities (CLI, dashboards) and carry them through to stable, shared libraries.

About the Research Engineering team

Based in Paris and London, our REs move fluidly along the research production spectrum. Engineers can rotate between Platform and Embedded tracks as their interests evolve.