Senior Machine Learning Infrastructure Engineer

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 a machine learning infrastructure engineer with strong programming and development skills and experience with machine learning. Experiences with machine learning algorithms, 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 systems for perception, prediction, and planning models.
• Improve user-ability and flexibility of machine learning infrastructure (training, serving, data mining, etc.).
• Work cross-team to deploy machine learning solutions to embedded systems and/or cloud clusters.

Minimum Skill Requirements:

• 2+ years of programming in Python with a deep understanding of software design, programming techniques, and algorithms.
• Master one of several mainstream machine learning development frameworks such as TensorFlow, PyTorch, MXNet.
• Familiar with machine learning ecosystems and latest trends.

Preferred Qualifications:

• Experience with large foundation model training techniques (model sharding, activation checkpointing, LORA finetune, etc.).
• Experience with hardware-software co-design, ML acceleration, or ML for systems.

What do we provide:

• A fun, supportive, and engaging environment.
• Opportunity to make a significant impact on the transportation revolution by 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.

The base salary range for this full-time position is $150,000 - $250,000, in addition to bonus, equity, and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status, marital status, or any other prescribed category set forth in federal or state regulations.