Senior Machine Learning Engineer - AI Foundation
Santa Clara, CA
- Pay
$174,720–295,680/year · BaseAnnual period assumed — pay source
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.
Read the full posting- Work setup
- Unconfirmed
- Employment
- Unconfirmed
Tools in this posting
- PyTorch
Source — Tool mentions in context
- 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)
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:
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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.
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Implement training framework for all physical AI foundation models in XPeng, including VLA 2.0, XWorld, Robotics.
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Accelerate training with state of the art parallelisms, e.g., FSDP, Expert Parallel, Context Parallel, and data types.
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Accelerate model inference on the cloud for closed-loop simulation, reinforcement learning, and enterprise LLM/VLM applications.
Minimum Skill Requirements:
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Master's Degree in CS/CE/EE, or equivalent, in industry experience.
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Deep knowledge of PyTorch.
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Knowledge of model inference framework (e.g. vLLM, SGLang)
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In-depth knowledge of transformer architecture and ways to accelerate the training and inference of transformer models.
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Experience of performing large scale distributed training of models.
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A track record of profiling model and doing detective work to improve model training and inference speed.
Preferred Skill Requirements:
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Previous experience in the autonomous driving industry.
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Experience with CUDA language for writing custom ops.
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Experience with edge computing systems.
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Knowledge of disributed computing frameworks, such as Ray.
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A track record of efficiently solving complex problems collaboratively on larger teams
What do we provide:
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A fun, supportive and engaging environment.
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Infrastructures and computational resources to support your work.
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Opportunity to work on cutting edge technologies with the top talents in the field.
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Opportunity to make a significant impact on the transportation revolution by the means of advancing autonomous driving.
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Competitive compensation package.
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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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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.
- Location & working pattern
Santa Clara, CA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Sep 22, 2026
- Recorded sightings
- 5
- Last seen by us
- Oct 8, 2026
- Employer says posted
- Sep 17, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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