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Senior Machine Learning Engineer

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Senior Machine Learning Engineer in USA

  • Santa Clara, CA

Responsibilities

  • Design and implement training data pipelines streaming labeled and unlabeled data at hundreds-of-petabytes scale from more than one million vehicles.
  • Implement training frameworks for XPENG physical AI foundation models, including VLA 2.0, XWorld, and Robotics.
  • Accelerate model training using FSDP, Expert Parallel, Context Parallel, and advanced data types.
  • Accelerate cloud model inference for closed-loop simulation, reinforcement learning, and enterprise LLM/VLM applications.
  • Profile models and investigate performance bottlenecks to improve training and inference speed.

Requirements

  • Master's degree in computer science, computer engineering, or electrical engineering, or equivalent industry experience.
  • Deep knowledge of PyTorch.
  • Knowledge of model inference frameworks such as vLLM or SGLang.
  • In-depth knowledge of transformer architecture and techniques for accelerating transformer training and inference.
  • Experience with large-scale distributed model training.
  • Preferred experience in the autonomous driving industry.
  • Preferred experience writing custom operations with CUDA.
  • Preferred experience with edge computing systems.
  • Preferred knowledge of distributed computing frameworks such as Ray.
  • Ability to solve complex problems collaboratively on larger teams.

Benefits

  • Full-time position with a supportive and engaging work environment.
  • Access to infrastructure and computational resources to support the work.
  • Opportunity to work with leading talent on cutting-edge technology and impact autonomous driving.
  • Competitive compensation package with bonus, equity, and benefits.
  • Snacks, lunches, dinners, and fun activities.

Salary: $175k - $296k/yr

XPENG

XPENG designs, manufactures, and sells smart electric vehicles for consumers, integrating in-house advanced driver-assistance systems and connected in-car software. Founded in 2014 and headquartered in Guangzhou, it operates plants in Zhaoqing and Guangzhou, maintains a European HQ in Amsterdam, ...

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