Senior Perception Fusion Engineer - Autonomous Vehicles

Overview

• NVIDIA has continuously reinvented itself over the past three decades.
• Our invention of the GPU fueled the growth of PC gaming, redefined modern computer graphics, and revolutionized parallel computing.
• More recently, GPU-accelerated deep learning ignited modern AI, enabling computers, robots, and autonomous vehicles to perceive and understand the world.
• This is our life’s work: amplifying human imagination and intelligence.
• 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.
• You will work across algorithms, production software, vehicle systems, and large-scale evaluation to help deliver and scale NVIDIA autonomous-driving solutions globally.
• What You’ll Be Doing: 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.
• Strong C/C++ and Linux skills, including modern C++, algorithms, data structures, debugging, software design, and performance optimization.
• Hands-on deep-learning experience in perception or robotics, with strong Python skills for prototyping, evaluation, data analysis, and automation.
• Proven ability to diagnose system-level issues and collaborate effectively across teams, regions, cultures, and time zones.
• Ways to Stand Out from the Crowd: Experience delivering production perception-fusion or post-processing systems for parking, active safety, ADAS, autonomous driving, or robotics.
• Experience with cameras, lidar, radar, ultrasonic sensors, IMU, GNSS, and vehicle odometry in multimodal fusion systems.
• Hands-on experience with parking-space detection, curb and obstacle processing, near-field occupancy, ultrasonic-sensor fusion, or parking perception post-processing.
• Experience taking algorithms from prototype through vehicle integration, large-scale evaluation, on-road debugging, certification, or production deployment.