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Technical Product Manager - Robotics

1 week, 2 days ago
United States
Full-time
Senior
Technical Product Manager
IoT and Embedded Systems
Machine Learning MLOps Reinforcement Learning Unity Unreal Engine
Apply Now
Nebius

Nebius

Nebius enables B2B companies to build local hyperscaling cloud platforms with cost-effective GPUs, InfiniBand network, and 50% less compute cost. They offer managed Kubernetes and a launch-ready business model for innovative cloud solutions.

Internet Software & Services
51-250
View All Jobs 183

Description

  • Drive the Physical AI product roadmap and end-to-end product execution.
  • Translate Physical AI workflows such as simulation, synthetic data, robot learning, digital twins, and sim-to-real into product requirements.
  • Run customer discovery and prototype validation with robotics, AV, industrial automation, and research lab leaders.
  • Maintain and synthesize customer insights to inform roadmap decisions and strategy updates.
  • Partner with the Field CTO to refine Physical AI strategy, including segmentation, prioritization, and evidence-backed planning.
  • Produce strategy memos, segment analyses, evidence packs, technical collateral, reference architectures, and demos.
  • Represent Nebius at Physical AI and robotics events alongside the Field CTO.
  • Coordinate cross-functional execution across engineering, Applied AI / SE, marketing, sales, and BD without direct authority.
  • Align with adjacent product teams so Physical AI requirements are reflected in their roadmaps.
  • Identify, qualify, and hand off strategic partnership and co-development opportunities to the Field CTO and BD.

Requirements

  • 5+ years of product management experience, ideally owning a product area or major workstream end-to-end.
  • Experience in cloud, AI infrastructure, GPU computing, or Physical AI / robotics environments is preferred.
  • Ability to write crisp PRDs, build and defend roadmaps, run prioritization meetings, and ship to deadlines.
  • Deep technical fluency in the Physical AI stack, including Isaac Sim, MuJoCo, Gazebo, Unreal/Unity, synthetic data generation, domain randomization, RL, imitation learning, sim-to-real transfer, sensor simulation, annotation pipelines, and dataset management.
  • Working knowledge of GPU-accelerated training and simulation workloads, including multi-node distributed training, MLOps, and experiment tracking.
  • Strong customer discovery instincts and the ability to extract the right requirements from technical stakeholders.
  • Track record of shipping technical products in fast-moving, ambiguous environments.
  • Strong written communication skills for strategy memos, PRDs, customer notes, and executive updates.
  • Advanced degree in Robotics, Computer Science, Mechanical Engineering, AI/ML, or a related field is preferred.
  • Hands-on experience with Isaac Sim, Omniverse, MuJoCo, Gazebo, or synthetic-data tools such as Replicator, Parallel Domain, or Datagen is preferred.
  • Experience in the NVIDIA Physical AI ecosystem, cloud or GPU platforms, robotics engineering, controls, or perception is preferred.
  • Willingness to travel internationally across the US, Europe, and APAC is preferred.

Benefits

  • Competitive compensation with a salary range of $147,000 to $183,000 USD based on experience.
  • Career growth and learning opportunities.
  • Flexibility and work-life balance.
  • Collaborative and innovative culture.
  • Opportunity to work on impactful AI projects.
  • International environment with talented teams.

Interested in this position?

Apply directly on the company website

Apply Now

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