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Senior Perception Fusion Engineer - Autonomous Vehicles
NVIDIA
China, Shanghai +1 more · On-site · relocationSalary not disclosedfull-timeNVIDIA Careers (offices abroad)
We are seeking a Senior Parking Perception Fusion Engineer in Shanghai or Beijing to develop, evaluate, and adapt production Parking solutions across OEM partners, vehicle platforms, and regions. The role covers driving and parking applications, including multimodal sensor fusion, object tracking, perception post-processing, system evaluation, and vehicle adaptation.
Responsibilities
- Develop and optimize perception-fusion and post-processing algorithms for parking applications.
- Evaluate perception performance across OEM carlines, platforms, regions, ODDs, and sensor configurations, ensuring that offline KPIs reflect real-world performance.
- Triage complex perception issues, identify root causes, and drive end-to-end resolution across algorithms, software, sensors, and vehicle integration.
- Build production fusion and post-processing solutions for parking-space understanding, curb and obstacle processing, object suppression and recovery, ultrasonic-sensor fusion, and vehicle adaptation.
- Develop AI-assisted tools for large-scale replay, KPI evaluation, issue classification, root-cause analysis, and regression detection.
- Drive parking bring-up for new carlines, from sensor integration and KPI validation to on-road debugging, certification readiness, and production delivery.
- What We Need to See
- MS, PhD, or equivalent experience in Computer Science, Computer Engineering, Robotics, Mathematics, Physics, or a related field, with 3+ years of relevant industry experience.
- Strong foundations in image processing, 3D multi-view geometry, nonlinear optimization, linear algebra, probability, and uncertainty modeling.
- Solid knowledge of sensor fusion and state estimation, including KF/EKF, Bayesian estimation, data association, and multi-object tracking.
Languages
- Work format
- On-site
- Seniority
- Senior
- Posted
- 11 Sept 2026
- Last verified
- In the last 5 days
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