Jobs and Careers
XP
Staff Machine Learning Infrastructure Engineer
XPeng MotorsSanta Clara, United Statesfull_timeVerifiedPosted 20 Mar 2024
💰 $300,000/yr($180,000/yr – $300,000/yr)
About the role
XPeng Motors is one of China’s leading smart electric vehicle (“EV”) companies. We design, develop, manufacture and market smart EVs that are seamlessly integrated with advanced Internet, AI and autonomous driving technologies. We are committed to in-house R&D and intelligent manufacturing to create a better mobility experience for our customers. We strive to transform smart electric vehicles with technology and data, shaping the mobility experience of the future.
We are looking for machine learning infrastucture engineer with strong programming and development skills and experience with machine learning. Experiences with machine learning algorithm, applications and frameworks are required.
Our mission is to solve the autonomous driving problem. You will work with a team of machine learning researchers to build AI software systems, learn about deep learning algorithms, and use your technical skills to advance autonomous driving.
Job Responsibilities:
- Design and improve training system for perception, prediction, and planning models.
- Improve user-ability and flexibility of machine learning infrastructure (training, serving, data mining, etc.)
- Work across teams to deploy machine learning solutions to cloud cluster and/or embedded systems.
- 3-5 years + of programming in Python/C++ with a deep understanding of system design, programming techniques, and machine learning algorithms.
- Master one of several mainstream machine learning development framework such as PyTorch, TensorFlow, MXNet.
- Familiar with machine learning ecosystems and latest trends.
- Experience with autonomous driving practice and machine learning infrastructure design principals.
- Experience with hardware-software co-design, ML acceleration, or ML for systems.
- Knowledge of large foundation model training and serving techniques.
- A fun, supportive and engaging environment
- Opportunity to make significant impact on transportation revolution by the means of advancing autonomous driving
- Opportunity to work on cutting edge technologies with the top talent in the field
- Competitive compensation package
- Snacks, lunches, dinners, and fun activities
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