Forward Deployed Engineer - Physical AI

What you’ll do

• Own discovery, infrastructure design, build, and production rollout for strategic accounts.
• Orchestrate compute for physical AI simulation, training, evaluation, inference, and batch workloads.
• Build platform services for scheduling, observability, access control, secrets, and cost tracking.
• Debug and optimize reliability, security, performance, utilization, and cost across infrastructure layers.

What you’ll bring

• 6+ years of backend, cloud infrastructure, platform engineering, or SRE experience, including 2+ years in a customer-facing or deployment-oriented technical role.
• Experience building distributed systems, compute platforms, job orchestration, internal developer platforms, or ML infrastructure.
• Strong Python, Go, or similar systems and backend programming skills.
• Experience with Kubernetes, containers, CI/CD, observability, networking, storage, IAM/RBAC, and infrastructure as code.

Technologies

Kubernetes · Python · Go · Claude Code · Codex · Cursor · Slurm · Ray · Argo · CUDA

About Nebius

Full-stack AI cloud infrastructure platform delivering GPU compute and software to hyperscalers and enterprises without requiring in-house AI/ML teams.

Public · 1000–2000 people