Developer Advocate - Physical AI & Robotics

About the role

We're looking for a Developer Advocat e who can make Nebius the easiest place to run Physical AI and robotics workloads from simulation and synthetic data to training, deployment, and real-time inference. This is an education-first role: you'll teach, show what's possible, and help builders succeed-then feed the hard lessons back into product. You are welcome to work remotely from the United States. Your responsibilities will include: Builder education: Create tutorials, guides, example repos, reference projects, and workshops for robotics + Physical AI teams. Show what's possible: Build demo workloads (simulation → training → inference) and share them via talks, livestreams, blog posts, and docs. Hands-on customer help: Partner with lighthouse teams to unblock architectures, performance, and deployments-then turn solutions into reusable patterns. Developer feedback loops: Capture recurring friction (tooling, setup, performance, deployment) and translate it into clear product requirements. Ecosystem work: Collaborate with key frameworks and platforms (robotics stacks, simulation tools, model runtimes) to create integrations and examples. Internal enablement: Equip solutions teams with technical narratives, architecture diagrams, and training so they can support Physical AI workloads confidently. What success looks like Builders can go to working robotics/Physical AI workflow on Nebius quickly. Your demos and content become the default starting point for Physical AI teams evaluating GPU cloud. We expect you to have: Strong technical depth in GPU compute / inference / distributed systems (you can debug and explain tradeoffs). Familiarity with robotics or Physical AI workflows: simulation, synthetic data, training pipelines, sensor data, deployment constraints, latency/perf needs. You enjoy teaching: writing clearly, building practical demos, speaking to technical audiences. Comfort operating in ambiguity and moving fast with small teams.

Requirements

• Experience with simulation and robotics ecosystems (e.g., Isaac Sim, Mujoco, ROS/ROS2) and/or model serving stacks (vLLM/Triton, etc.).
• Performance profiling instincts (latency, throughput, GPU utilization, storage/network bottlenecks).
• Practical experience
• 3-5+ years of experience in software development, cloud engineering, DevOps or a similar technical role
• Demonstrated experience with cloud technologies and infrastructure
• Previous work with infrastructure-as-code, containerization and cloud environments
• Experience explaining complex technical concepts to different audiences through writing, speaking, or training
• Prior involvement in developer communities, open-source projects or technical forums (desirable)
• Communication and interpersonal skills
• Excellent verbal and written communication abilities, with a talent for making complex technical concepts accessible
• Comfortable with public speaking and delivering technical presentations to diverse audiences
• Ability to build relationships with technical communities and individual developers
• Strong collaboration skills for working across product, engineering and marketing teams
• Self-direction and initiative in a rapidly evolving technical environment
• Educational background
• Bachelor's degree in Computer Science, Engineering, or related technical field or equivalent practical experience
• Continuous self-education in cloud technologies, distributed systems and infrastructure optimization
• Key employee benefits in the US:
• Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
• 401(k) plan: Up to 4% company match with immediate vesting.
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
• Remote work reimbursement: Up to $85/month for mobile and internet.
• Disability & life insurance : Company-paid short-term, long-term and life insurance coverage.

Benefits

Additional Information

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

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