Systems Engineer, HPC

Systems Engineer, HPC

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
M

At a Glance

  • Tasks: Design, operate, and scale AI infrastructure in a hands-on role.
  • Company: Join Mistral AI, a pioneering company shaping the future of AI.
  • Benefits: Competitive pay, flexible work, and opportunities for growth.
  • Other info: Dynamic startup culture with a focus on collaboration and innovation.
  • Why this job: Make a real impact on cutting-edge AI systems and collaborate with talented teams.
  • Qualifications: Strong Linux experience and familiarity with large-scale environments required.

The predicted salary is between 60000 - 80000 £ per year.

About Mistral

At Mistral AI, we build high-performance, open, and efficient AI systems designed to power the next generation of applications. Our infrastructure combines large-scale distributed systems, cloud platforms, and HPC environments to support cutting‑edge research and production workloads. We are a collaborative, low‑ego, and highly technical team, operating across Europe, the US, and beyond. As we scale rapidly, we are building the foundational infrastructure to support thousands of nodes and petabyte‑scale systems. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact.

About the Role

We are looking for Systems Engineers / System Administrators to help design, operate, and scale the infrastructure behind Mistral’s AI platforms. This is a hands‑on, hybrid role combining system administration (operating and troubleshooting large‑scale Linux environments) and systems engineering (automation, scalability, and performance improvements). You’ll work closely with infrastructure, HPC, and research teams to ensure our clusters and platforms run reliably at scale.

What You’ll Work On

  • Core Systems Operations
    • Operate and maintain large‑scale Linux environments (bare metal, clusters, cloud)
    • Monitor system health, troubleshoot incidents, and ensure high availability
    • Support production and research workloads across multiple environments
  • Scaling Infrastructure
    • Help scale clusters toward hundreds to thousands of nodes
    • Work on systems handling petabyte‑scale storage
    • Improve performance, reliability, and resource utilisation
  • Automation & Engineering
    • Automate operational tasks using tools like Python, Bash, Ansible, or Terraform
    • Improve deployment, provisioning, and system lifecycle management
    • Contribute to system design and architecture decisions
  • Cross‑Functional Collaboration
    • Work closely with: HPC / infrastructure teams
    • Platform / DevOps engineers
    • Research teams
    • Act as a bridge between users and infrastructure

What We’re Looking For

  • Must‑have
    • Strong Linux systems administration experience (core requirement)
    • Experience working in large‑scale environments: HPC clusters or cloud infrastructure
    • Experience with job schedulers (e.g. Slurm)
    • Solid troubleshooting skills across systems, hardware, and networks
  • Nice‑to‑have (any of these)
    • Containers / orchestration (e.g. Kubernetes)
    • Storage systems (e.g. Ceph, Lustre, NFS)
    • Networking fundamentals (Ethernet; InfiniBand is a plus)
    • Infrastructure as Code / automation tooling
    • GPU or AI/ML experience

Profile We Value

  • Pragmatic problem solver who can operate in fast‑scaling environments
  • Comfortable working across multiple domains (“Swiss army knife” mindset)
  • Able to go deep in one area while learning others
  • Low‑ego, collaborative, and hands‑on

Why Join Mistral?

  • Impact: Play a pivotal role in scaling Mistral’s cutting‑edge AI infrastructure.
  • Growth: Opportunity to shape data centre operations from the ground up in a high‑growth startup environment.
  • Collaboration: Work with a talented, cross‑functional team passionate about AI and technology.
  • Flexibility: Competitive compensation, benefits, and the chance to contribute to revolutionary projects.

Systems Engineer, HPC employer: mistral

At Mistral AI, we pride ourselves on being an exceptional employer, offering a dynamic and collaborative work culture that fosters innovation and growth. As a Systems Engineer in our rapidly scaling environment, you'll have the unique opportunity to shape the future of AI infrastructure while working alongside a talented team dedicated to pushing the boundaries of technology. With competitive compensation, flexible working arrangements, and a commitment to employee development, Mistral is the ideal place for those looking to make a meaningful impact in the tech industry.

M

Contact Details:

mistral Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Systems Engineer, HPC

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at mistral or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to mistral.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like mistral.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like mistral that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Systems Engineer, HPC

Linux Systems Administration
Large-Scale Environments
HPC Clusters
Cloud Infrastructure
Job Schedulers (e.g. Slurm)
Troubleshooting Skills
Automation Tools (e.g. Python, Bash, Ansible, Terraform)

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at mistral.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at mistral and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at mistral

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If mistral uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.