Member of Engineering – Compute

This is a fully remote position, open to applicants in Europe.

📋 Description

• Create and implement an internal scheduling system aimed at optimizing GPU utilization.

• Develop APIs and tools that facilitate the management of GPU workload lifecycles and assist in troubleshooting failures.

• Design and enhance the inference control plane to accelerate model deployment and improve the efficiency of inference request handling.

• Collaborate with research teams to continually enhance research velocity.

⛳️ Requirements

• Proficient programming abilities in Go or comparable languages.

• Solid background in systems engineering, including distributed systems, schedulers, control planes, or high-throughput data planes.

• Hands-on experience with Kubernetes internals, such as controllers, informers, and operators—not just deploying applications on it.

• A focus on observability and debuggability, ensuring the system is easy to navigate during the debugging of production issues.

• Preferred: experience in systems that handle large-scale inference requests.

🏝️ Benefits

• Fully remote work with flexible working hours.

• 37 days of vacation and holidays per year.

• Health insurance allowance for you and your dependents.

• 16 weeks of flexible, fully-paid parental leave.

• Allowances for well-being, continuous learning, and home office setup.

• Equipment provided by the company.

• Regular team gatherings.

• A diverse and inclusive, people-first culture.