Developer Advocate - Physical AI & Robotics

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.

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.

Nice To Have

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