Senior Machine Learning Engineer - AI Foundation

Job Responsibilities

• Design and implement training data pipeline that streams data from hundreds of petabytes of labeled and unlabeled data from a fleet of over a million vehicles.
• Implement training framework for all physical AI foundation models in XPeng, including VLA 2.0, XWorld, Robotics.
• Accelerate training with state of the art parallelisms, e.g., FSDP, Expert Parallel, Context Parallel, and data types.
• Accelerate model inference on the cloud for closed-loop simulation, reinforcement learning, and enterprise LLM/VLM applications.

Minimum Skill Requirements

• Master's Degree in CS/CE/EE, or equivalent, in industry experience.
• Deep knowledge of PyTorch.
• Knowledge of model inference framework (e.g. vLLM, SGLang)
• In-depth knowledge of transformer architecture and ways to accelerate the training and inference of transformer models.
• Experience of performing large scale distributed training of models.
• A track record of profiling model and doing detective work to improve model training and inference speed.

Preferred Skill Requirements

• Previous experience in the autonomous driving industry.
• Experience with CUDA language for writing custom ops.
• Experience with edge computing systems.
• Knowledge of disributed computing frameworks, such as Ray.
• A track record of efficiently solving complex problems collaboratively on larger teams

What do we provide

• 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 a significant impact on the transportation revolution by the means of advancing autonomous driving.
• Competitive compensation package.
• Snacks, lunches, dinners, and fun activities.

Pay and benefits

The base salary range for this full-time position is $174,720-$295,680, 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.