From $85/yr

Developer Advocate - Physical AI & Robotics

United StatesRemotemid

Data ScienceOtherDeveloper Advocate

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Quick Summary

Key Responsibilities

Builder education: Create tutorials, guides, example repos, reference projects, and workshops for robotics + Physical AI teams.

Requirements Summary

Collaborate with key frameworks and platforms (robotics stacks, simulation tools, model runtimes) to create integrations and examples.

Technical Tools

Data ScienceOtherDeveloper Advocate

What We Offer

~1 min read

We’re looking for a Developer Advocate 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.

Responsibilities

~1 min read

→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.

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).

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)

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

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