NVIDIA | NVIDIA

Senior Manager, Product - Perception Data

Full-time · US, CA, Santa Clara
✓ Verified live on the employer's own system · added 20 days ago
Save search
Senior · 8+ yrs exp

Requirements

Education: Bachelor's degree or related field

Experience: 8+ years

Skills & tools

ManagementOperationsFinancial AnalysisMachine LearningData AnalysisTeam LeadershipBilingual
Apply on company site ↗ See your fit → free

Full job description

NVIDIA is developing AI and Accelerated Computing solutions for the Automotive industry. We are looking for a Senior Manager of Product to join our data team and lead a product group. Your core mission is to deeply understand what perception models need to improve — and translate that understanding into high-quality, high-value data annotation strategies that directly drive model performance gains.

This role sits at the intersection of perception research, data engineering, and labeling operations. You will work closely with perception scientists to identify model performance gaps, define annotation requirements, own the data roadmap, and drive end-to-end delivery across labeling vendors and internal teams. The best candidate combines strong product instincts with genuine technical depth in ML data pipelines and perception tasks.

  • Develop a deep understanding of how training data impacts perception model performance across tasks including 3D object detection, lane/road structure recognition, traffic sign and traffic light detection, and semantic segmentation.
  • Partner with perception researchers and engineers to translate model capability gaps into concrete data requirements.
  • Own annotation ontology design: define labeling taxonomies, attribute schemas, edge case handling rules, and inter-annotator consistency standards for perception network tasks such as 3D bounding boxes, lane elements, traffic sign/light classification and association.
  • Anticipate how changes in data density, ROI size, and label complexity affect labeling throughput and delivery capacity; provide data-backed forecasts to stakeholders.
  • Collaborate with global engineering and labeling teams to ensure data quality and explore how DNN/LLM/VLM improves the performance of data labeling.
  • BS degree in Computer Science, Engineering, Data Science, or related field (or equivalent experience).
  • 8+ years of product management experience, with at least 2+ years in a role directly involving ML/AI model development, data pipelines, or training data strategy.
  • 3+ years of experience leading or mentoring a team of product managers, tech leads, or equivalent.
  • Fluent in Mandarin Chinese a strong plus (team operates across US and China time zones).
  • Direct experience in autonomous driving, robotics, or ADAS product development
  • Familiarity with 3D reconstruction, SLAM, NeRF, LiDAR point cloud annotation, and multi-sensor fusion.
  • Exposure to model-in-the-loop, human-in-the-loop, auto labeling, or VLM labeling.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward‑thinking and hardworking people in the world working for us. If you’re passionate about AI, data, defining what the model can and cannot learn, and enabling world‑class AI models with high‑quality data, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

Applications for this job will be accepted at least until July 25, 2026.

More jobs at NVIDIA | NVIDIA

Similar jobs near US, CA, Santa Clara

Tell me when more Senior Data Product Manager jobs post near San Jose We re-check every listing against the employer’s own board — no résumé needed.

Search Senior Manager, Product - Perception Data jobs near US, CA, Santa Clara → Browse all live jobs

This posting was published by NVIDIA | NVIDIA on their own careers system and is shown here with a direct link to apply there. Employers: for corrections or removal, contact jobs@veritahire.com.