Developer Advocate - Physical AI & Robotics
Quick Summary
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…
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).
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.
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.
- 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
What We Offer
~1 min readWhat We Offer
~1 min readWe offer competitive salaries, ranging from 215k - 275k OTE (On Target Earnings) + equity based on your experience.
What We Offer
~1 min readFast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location & Eligibility
Listing Details
- First seen
- April 3, 2026
- Last seen
- May 16, 2026
Posting Health
- Days active
- 43
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- May 16, 2026
Signal breakdown
Nebius is a cutting-edge AI cloud platform that offers scalable infrastructure for developing and deploying AI solutions.
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