xpengmotors
Senior Machine Learning Engineer - AI Foundation
At a Glance
- Location
- Santa Clara, California, United States
- Experience
- 3+ years
- Compensation
- or this full-time position is $174,720 - $295,680, in addition to bonus, equity
- Posted
- 2026-03-03T15:39:04-05:00
Key Requirements
Required Skills
Requirements
Master in CS/CE/EE, or equivalent, with 3 + years of industry experience.
Good knowledge of PyTorch.
Knowledge of transformer architecture and ways to accelerate the training and inference of transformer models.
Nice to have:
Previous experience in the autonomous driving industry.
Compensation & Benefits
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.
Responsibilities
Optimize transformer-based LLMs for low-latency and high-throughput inference.
Optimize kernels and model graphs using tools like CUDA, Triton, and custom fused operators.
Implement and benchmark (Quantization, Knowledge distillation, structured and unstructured pruning, KV-cache optimization, etc.).
Deploy optimized models across GPUs, CPUs, and edge acceleators.
Contribute to internal tooling and documentation for model optimization flows.