Senior Machine Learning Performance Engineer
Published: 2025-03-19XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart ...
Job details
Santa Clara, United States (city)
$174k - $295k
On-site
Full-time
Categories
XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.
Our mission is to solve the autonomous driving problem. You will work with a team of talented software engineers, machine learning engineers and research scientists to push the boundary of state-of-art machine learning models which will enable the next-generation E2E solution of autonomous driving.
Job Responsibilities:
Apply - 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