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Senior Product Manager, Physical AI Robotics Data

Nvidia

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What physical roles keep asking for: Python (37%), Perl (19%) — counted across their open postings here.

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Questions you are likely to be asked

  1. Why do you want to join Nvidia?
  2. What is your experience with Product management? Tell me one thing you learned the hard way.
  3. When would you not use machine learning for a problem?
  4. Walk me through a model you built, from the data to how it was used.
  5. How did you know your model was actually good, and not just good on your test set?

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NVIDIA is seeking a Product Manager to own data strategy for robotics data. Physical Intelligence runs on data. NVIDIA’s robotics data powers the Isaac GR00T and Cosmos models which are advancing the development of Physical A!! NVIDIA Physical AI data roles offer an outstanding opportunity to define the future of deployed physical intelligence. You will collaborate closely with AI researchers, our operations team, and external partners to set an industry standard, build and release datasets, and develop new methodologies for data capture! What You'll be Doing: First and foremost, you will be the key point person for all things robotics training data: requirements gathering, data collection, quality assurance, partner discussion, and data impact evaluation We craft and implement robust data frameworks and standards for robotics data: data formats, quality requirements, and data distribution Provide strategic direction to internal operations on data collection and annotation, ensuring data supports the goals of the research and engineering teams. Collaborate with internal and external deep learning engineers and researchers to build short and long term data acquisition plans Forge strategic partnerships and collaborations to acquire high-quality, diverse data sources essential for the development and fine-tuning of robotics foundation models Contribute to the creation and refinement of tools and technologies for efficient data collection and curation What We Need to See: Bachelor’s degree in Computer Science, Computer Engineering, or similar technical field or equivalent experience 8+ years of work experience in robotics data, hardware or software development, or product management at a technology company Ability to quickly experiment with data to test hypotheses Track record of delivering data at scale for AI applications Strong communication skills and evidence of ability to influence others Prior success delivering ambitious projects for frontier AI Ways to Stand Out from the Crowd: Experience with Physical AI data, including teleoperation data collection, curation, annotation, or quality control Development of data collection or annotation workflows, process and guidelines A background in ML research or robotics Previous experience owning a product portfolio and delivering results Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 17, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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Listed on workday · posted 2026-10-30. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.