Requirements

• Experience building or operating large-scale training platforms

• Worked with large scale compute clusters (GPUs)

• Proven ability to debug performance and reliability issues across large distributed fleets

• Strong problem-solving skills and ability to work independently

• Strong communication skills and the ability to work effectively with both internal and external partners

• Deep knowledge of modern cloud infrastructure including Kubernetes, Infrastructure as Code, AWS, and GCP

• Experience with SLURM

Nice to Haves

• Experience building or operating large-scale training platforms

What You'll Be Doing

• Maintain research infrastructure, ensuring health, and optimizing components to extract peak performance from the system (both on application, and infrastructure side)

• Scale infrastructure to meet growing research demands while maintaining reliability and performance

• Collaborate with research teams to deeply understand their infrastructure needs, and design solutions that balance performance with cost efficiency.

• Identify and resolve performance bottlenecks and capacity hotspots through deep analysis of distributed systems at scale.

• Build and evolve telemetry and monitoring systems to provide deep visibility into infrastructure performance, utilization, and costs across our cloud and datacenter fleets.

• Participate in on-call rotations and incident response to maintain system reliability

Perks and Benefits

• Base Annual Salary:

  • EU €100,000 - €230,000 + Equity

  • US $150,000 - $300,000 + Equity

• This role is based in our Freiburg / San Francisco office. We operate a hybrid model and cover reasonable travel costs — relocation is encouraged but not required. We do expect a meaningful in-person presence, and we'll discuss what that looks like for your situation during the process.

• Note: Our recruitment process uses AI-assisted tools to help manage and organize applications. All hiring decisions are always made by our team.