Developer Advocate - Physical AI & Robotics

Details

Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside experienced leaders and engineers.

Where we work

Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team. You are welcome to work remotely from the United States.

Role summary

We are 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 will teach, show what's possible, and help builders succeed—then feed the hard lessons back into product.

Responsibilities

• Builder education: create tutorials, guides, example repos, reference projects, and workshops for robotics and 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 workflows on Nebius quickly. Your demos and content become the default starting point for Physical AI teams evaluating GPU cloud.

Requirements

• Strong technical depth in GPU compute, inference, and distributed systems (able to debug and explain tradeoffs).
• Familiarity with robotics or Physical AI workflows: simulation, synthetic data, training pipelines, sensor data, deployment constraints, latency and performance needs.
• Enjoy teaching: writing clearly, building practical demos, and 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 in Computer Science, Engineering, or related technical field, or equivalent practical experience.
• Continuous self-education in cloud technologies, distributed systems, and infrastructure optimization.

Benefits

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.

Compensation

We offer competitive salaries, ranging from 215k - 275k OTE (On Target Earnings) + equity based on your experience.

What we offer

• Competitive salary and comprehensive benefits package.
• Opportunities for professional growth within Nebius.
• Flexible working arrangements.
• A dynamic and collaborative work environment that values initiative and innovation.