Developer Advocate, Machine Learning (Remote)

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.

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.

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.

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

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.

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

Equip solutions teams with technical narratives, architecture diagrams, and training so they can support Physical AI workloads confidently.

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.

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.

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)

Ability to build relationships with technical communities and individual developers

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

Health insurance:

100% company-paid medical, dental, and vision coverage for employees and families.

Up to 4% company match with immediate vesting.

Remote work reimbursement:

Disability & life insurance : Company-paid short-term, long-term and life insurance coverage.

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

Career growth and learning opportunities

Opportunity to work on impactful AI projects

International environment and talented teams

Fast moving- Bold thinking- Constant growth- Meaningful impact- Trust and real ownership- Opportunity to shape the future of AI

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.

If you need accommodations during the application process, please let us know.