Nuvepro - Task Intelligence for the Enterprise
Mistral· Research· Paris

Research Platform Engineer

Classified Tasks (10)

Automate 0%Augment 90%Human-Only 10%

Augment (9)

AI assists, human decides

Collaborate with R&D teams to design and build a cloud-agnostic research platform that improves stability, scalability, and velocity.

technical

Design and implement complex systems to scale research CI with a strong focus on reliability, reproducibility, and speed.

technical

Create and optimize tools and workflows that enable researchers to leverage high-performance clusters.

technical

Build flexible, robust, and accessible development environments so researchers can focus on core work.

technical

Design, implement, and maintain data solutions and pipelines that handle large volumes of data and remain maintainable.

technical

Optimize build processes including container images, large library compilation times, and Python environment setups.

technical

Produce documentation, guides, and other content to help researchers adopt and effectively use platform tools and systems.

communication

Advocate for and promote solutions addressing large-scale data handling and maintainable pipeline practices.

leadership

Contribute to platformizing research by continuously improving the daily researcher experience and identifying and preventing future roadblocks.

operational

Human-Only (1)

Requires human judgment

Build and maintain strong relationships with researchers to understand workflows and translate needs into platform improvements.

leadership

Job description

About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers . Role Summary We are seeking a talented and experienced software engineer to join our Research Platform team. You'll work closely with our R&D team to build a cloud agnostic platform that improves the stability, scalability and velocity across the research department. You'll help create and optimize tools that empower researchers to make the most of high performance clusters. Reporting line: Research Engineering, Platform Lead Location: 🇫🇷 🇬🇧 What you will do As a Platform Engineer, your responsibilities will include (but may not be limited to): • Designing and implementing complex systems (e.g. scale our research CI with a strong focus toward reliability, reproducibility and speed) • Building flexible yet solid and accessible development environment for researchers, so they can focus on core mission. • Designing, implementing and advocating for solutions addressing large amounts of data and maintainable data pipelines. • Optimizing a variety of builds: container images, large libraries compilation times, python environments... • Building strong relationships with researchers, understanding their workflow and enabling them to achieve more by leveraging your expertise. • Communicating and producing documentation or any content that will help them to make the most out of the tools and systems you'll build. • Being part of the team that "platformizes" research and constantly improve the daily experience for researchers while avoiding future roadblocks. About you • 5+ years of successful experience in a similar DX / DevOps / SRE role. • Proficiency in software development (Python, Go...) and programming best practices. • Exposure to site reliability engineering: root cause analysis, in-production troubleshooting, on-call rotations...) • Exposure to infrastructure management: CI/CD, containerization, orchestration, infra-as-code, monitoring, logging, alerting, observability...). • Technical product mindset (e.g. understanding how to debug poor adoption). • Excellent problem-solving and communication skills (ability to contextualizing, gauging risks and getting buy-in for high stakes and impactful solutions). • Ownership, high agency and constantly seeking to learn and improving things for others. • Autonomous, self-driven and able to work well in a fast-paced startup environment. • Low ego and team spirit mindset. Your application will be all the more interesting if you also have: • First hand Bazel (or equivalent) experience. • Strong knowledge of Python's ecosystem. • Familiarity with GPU based workloads and ecosystems. • Experience of full remote environments (you're comfortable with having some of your users on the other side of the globe). Hiring Process • Intro Call - 30 min • Tech Culture Interview - 30 min • Technical Rounds - 2 x 45 min • Culture-fit Discussion - 30 min • Reference Calls By applying, you agree to our Applicant Privacy Policy .
Source: Mistral careers · scraped 2026-05-22
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