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Senior Machine Learning Engineer - ML Training Infrastructure

Sunnyvale, California, United States of America💼 Full-time💰 $170,000–$170,000🗓 2026-08-24 → 2026-09-26

Core

Design and build scalable, reliable, high-performance ML training infrastructure to support advanced AI research and model development for intelligent driving technologies.

Role type

Senior IC machine learning engineer (ML training infrastructure)

Builds

Scalable ML frameworks and distributed training workflows for large foundational models

Domain

Automotive / AI/ML Infrastructure

Deliverable

production ML models

Required skills

Python, distributed computing, GPU computing, cloud environments (AWS/GCP/Azure), PyTorch, TensorFlow, system observability, performance optimization

Preferred skills

PyTorch 2.x+, FSDP, Pipeline Parallelism, profiling and debugging large model training

Technologies

PyTorch, TensorFlow, AWS, GCP, Azure

Responsibilities

Design and develop scalable ML frameworks; optimize distributed training workflows and resource utilization; improve system observability and operational excellence; integrate new features and technologies into the platform

Seniority

Senior, hands-on IC

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