Senior Machine Learning Engineer - AI Foundation

XPENG; Santa Clara (CA); On-site; USD 175,000 - 296,000; Full time

Benefits offered by this job

Snacks

Lunches

Dinners

Fun activities

Job summary

XPENG is seeking a full-time Machine Learning Engineer - AI Foundation to build state-of-the-art ML infrastructure for training very large foundation models and speeding training/inference.

You will join a team of engineers and researchers focused on advancing autonomous driving through AI at scale, including data pipelines, training frameworks, and cloud inference for simulation and enterprise LLM/VLM applications.

Qualifications

• Master's degree in CS/CE/EE or equivalent.
• Deep knowledge of PyTorch.
• Knowledge of model inference framework (e.g. vLLM, SGLang).
• In-depth knowledge of transformer architecture and acceleration techniques.
• Experience with large-scale distributed training.

Responsibilities

• Design and implement training data pipeline from hundreds of petabytes of data across a fleet of vehicles.
• Implement training framework for physical AI foundation models (VLA 2.0, XWorld, Robotics).
• Accelerate training with state-of-the-art parallelisms (FSDP, Expert Parallel, Context Parallel, data types).
• Accelerate model inference on the cloud for simulation, RL, and enterprise LLM/VLM applications.

Skills

PyTorch

Transformer architecture

Distributed training

Profiling

Edge/accelerated inference

CUDA

Education

Master's Degree in CS/CE/EE

Tools

vLLM

SGLang

Job description

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.

We are looking for a full-time Machine Learning Engineer - AI Foundation, with deep knowledge and strong enthusiasm towards establishing a state-of-art ML infrastructure for training very large foundation model and accelerating model training/inference.

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

• 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.

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.

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 or marital status or any other prescribed category set forth in federal or state regulations.