Forward Deployed Engineer - Physical AI
Core
Senior individual contributor owning end-to-end infrastructure design, build, and production rollout for strategic customers and ISV partners to enable real physical AI workloads.
Role type
Senior Forward Deployed Engineer (Cloud Platform)
Builds
Production cloud infrastructure, compute orchestration, platform services, and onboarding environments for physical AI workflows.
Domain
Cloud Infrastructure / Physical AI / Distributed Systems
Deliverable
production ML models | product features | infrastructure
Required skills
Backend engineering, cloud infrastructure, platform engineering, distributed systems, compute orchestration, systems programming (Python/Go), Kubernetes, CI/CD, observability, infrastructure as code, cross-layer debugging, security & reliability
Preferred skills
Forward Deployed Engineer experience, AI cloud infrastructure (AWS/GCP/Azure), GPU scheduling tools (Slurm/Kubernetes/Ray), ML training infrastructure, NVIDIA GPU/CUDA, simulation workloads
Technologies
Kubernetes, Python, Go, AWS, GCP, Azure, Slurm, Soperator, Ray, Argo, Airflow, Metaflow, NVIDIA CUDA, Isaac Sim, Omniverse, Claude Code, Codex, Cursor
Responsibilities
Own discovery, scoping, infrastructure design, build, and production rollout for strategic accounts; Build and operate cloud infrastructure for simulation, training, evaluation, and inference workloads; Build platform services for job execution, scheduling, retries, observability, and cost tracking; Build onboarding infrastructure for pilots including sandbox environments; Optimize cloud cost, utilization, performance, and reliability; Partner with Physical AI Systems and Platform FDEs to support GPU-heavy pipelines; Define long-term infrastructure architecture for multi-tenant SaaS; Turn repeated customer pain into reusable platform capabilities; Use modern AI coding tools to compress build timelines; Co-author reference architectures and maintain feedback loops.
Seniority
Senior, high-autonomy individual contributor