- Design and optimize onboard software systems to enable the deployment of large deep learning models in production vehicles, pushing the boundaries of performance, power efficiency, and latency.
- Master or PhD in CS/CE/EE, or equivalent, with 0-3 years of industry experience. Open to recent graduates.
- Strong expertise in C++ and Python.
- In-depth understanding of computer architecture and high-performance computing.
- Proven experience in application performance analysis and optimization.
- Experienced with CUDA kernels and Nvidia TensorRT
- Previous experience in the autonomous driving or robotics industry.
- Being efficiently in solving complex problems collaboratively on larger teams
- A fun, supportive and engaging environment
- Infrastructures and computational resources to support your work.
- Opportunity to work on cutting edge technologies with the top talents in the field.
- Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving
- Competitive compensation package
- Snacks, lunches, dinners, and fun activities
Top Skills
What We Do
Xpeng Motors is a leading Chinese electric vehicle and technology company that designs and manufactures intelligent automobiles that are seamlessly integrated with the Internet and utilize the latest advances in artificial intelligence. Focusing on China’s young and tech-savvy consumer base, XPENG Motors strives to offer smart mobility solutions with technology innovation and cutting-edge R&D. The company’s initial backers include its CEO & Chairman He Xiaopeng, the founder of UCWeb Inc. and a former Alibaba executive. It was co-founded in 2014 by Henry Xia and He Tao, former senior executives at Guangzhou Auto with expertise in innovative automotive technology and R&D. It has received funding from prominent Chinese and international investors including Alibaba Group, Foxconn Group and IDG Capital. Currently with 3,000 employees, the company is headquartered in Guangzhou and has design, R&D, manufacturing and sales & marketing divisions in Silicon Valley, San Diego, Beijing, Shanghai, Zhaoqing (Guangdong Province) and Zhengzhou (Henan Province).