Forward Deployed Engineer - Physical AI

New

NebiusCloud AI Infrastructure

Remote - Europe; You are welcome to work remotely from the United States (SF Bay Area, CA or Austin, TX preferred).Full-TimeSenior

Salary not disclosed

Apply NowOpens the employer's application page

Job Details

6+ years of hands-on experience in backend, cloud infrastructure, platform engineering, or SRE.
At least 2 years in a customer-facing or deployment-oriented technical role.
Strong proficiency in Python, Go, or similar systems programming languages.
Experience building distributed systems, job orchestration, compute platforms, or ML infrastructure.
Fluent in modern AI coding tools like Claude Code, Codex, or Cursor.
In-depth knowledge of Kubernetes, containers, CI/CD, observability, and cloud networking.
Experience with GPU workloads, batch jobs, training pipelines, or HPC-style compute environments.
Proven ability to perform cross-layer debugging across application, network, storage, and orchestration.
Strong understanding of security, RBAC, isolation, and production-grade reliability.
Excellent written and verbal communication skills.

Own discovery, technical scoping, infrastructure design, build, and production rollout for each design partner and ISV engagement.
Build and operate cloud infrastructure for customer physical AI workflows, including simulation, training, and inference at scale.
Develop platform services for job execution, scheduling, observability, logging, and cost tracking.
Design onboarding infrastructure for pilots, including sandbox environments and secure deployment pipelines.
Optimize infrastructure for cost, utilization, and reliability across compute, storage, and networking layers.
Partner with internal product and engineering teams to translate customer infrastructure needs into core platform capabilities.
Co-author reference architectures, solution templates, and technical blogs.

View Full Description & ApplyYou'll be redirected to the employer's site