Amy Chen

AI Driving Engineering Manager @ NVIDIA

About

As an engineering leader at NVIDIA, I focus on building intelligent, safe, and scalable systems for autonomous driving. My career has taken me from perception model design to full-stack system integration, leading teams across planning, simulation, and AI model deployment. With over a decade of experience across leading mobility and robotics companies, I bring a cross-disciplinary approach to engineering balancing technical rigor with inclusive leadership. I’m especially passionate about supporting women in AI and advocating for responsible technology that improves both systems and society. Currently based in California, I’m excited to connect with others working at the intersection of applied AI, mobility, and systems engineering

Country

City

United States

Industry

Information Technology & Services

Skill

Experience

AI Driving Engineering Manager

NVIDIA

2022-3 - Present · 4 yrs 7 mos

Santa Clara County, California, United States

Lead a team of engineers on NVIDIA DRIVE platform, focusing on perception and planning models for L4 autonomous vehicles Designed and deployed a real-time multimodal fusion system (LiDAR + camera + radar), increasing object detection accuracy by 32% Partnered with simulation team to enhance synthetic dataset generation using generative AI, reducing training cost by 40% Represented NVIDIA at GTC and CES, speaking on applied AI, safety frameworks, and team diversity in engineering Founded internal "Women in Autonomous Systems" circle to mentor junior female engineers and promote inclusive engineering culture

Senior AI Systems Engineer

Aurora Innovation

2019-1 - 2022-2 · 3 yrs 2 mos

San Francisco, California, United States

Built and scaled deep learning pipelines for object detection and scenario classification Created lightweight inference models optimized for edge deployment on Aurora trucks Collaborated with safety team to align AV stack with evolving regulatory frameworks in California and Texas Mentored junior engineers across functions and established a metrics review framework for model governance

Machine Learning Engineer

Nuro

2016-7 - 2018-12 · 2 yrs 6 mos

Mountain View, California, United States

Developed planning models to support safe delivery vehicle navigation in suburban areas Introduced an LSTM-based trajectory prediction model, improving interaction with pedestrians and cyclists Worked closely with product teams to define perception-planning integration requirements Participated in early rollout of AV delivery pilot in Arizona

AI Research Engineer

Bosch Research North America

2014-8 - 2016-6 · 1 yr 11 mos

Palo Alto, California, United States

Conducted R&D in stereo vision and lane detection for driver assistance systems Published research at ICRA 2016 on camera-based depth estimation for highway driving Collaborated with Germany HQ on prototype deployment of ADAS modules in real test vehicles Supported early experiments on fusion of IMU and vision-based localization

AI Intern – Robotics & Perception

NASA Jet Propulsion Laboratory

2012-6 - 2013-6 · 1 yr 1 mo

Pasadena, California, United States

Built prototype visual odometry pipelines for Mars rover autonomy simulations Applied SLAM and landmark-tracking models in challenging terrain under partial visibility Learned mission-critical development processes under NASA standard