Staff ML Infrastructure Engineer — TPU & Simulation

Waymo LLC; Sacramento (CA); On-site; USD 251,000 - 310,000; Full time

Job summary

Waymo LLC, Sacramento-based, is seeking an experienced ML Infrastructure engineer to advance ultra-realistic simulations and scale foundation models for autonomous driving applications. This full-time role focuses on building end-to-end ML pipelines and simulation environments powering Waymo Driver.

You will design, implement, and optimize training and inference on TPU hardware, collaborate across distributed teams, and deliver robust libraries, tooling, and performance improvements for

Qualifications

• 6+ years of professional software engineering in ML infrastructure.
• Direct ML programming on TPU/GPU with JAX, PyTorch or TensorFlow.

Responsibilities

• Design, build, and optimize realistic simulation environments on TPUs.
• Implement and optimize model/data parallelism for foundation models.
• Collaborate with modeling teams to integrate foundation models into pipelines.
• Lead architectures from data engineering to simulation execution.
• Profile systems to identify bottlenecks and speed up end-to-end execution.
• Translate product goals into technical requirements and deliverables.

Skills

Machine learning infrastructure

Distributed systems

Strong communication

Tools

JAX

PyTorch

TensorFlow

TPU/GPU tooling

Job description

Waymo LLC, Sacramento-based, is seeking an experienced ML Infrastructure engineer to advance ultra-realistic simulations and scale foundation models for autonomous driving applications. This full-time role focuses on building end-to-end ML pipelines and simulation environments powering Waymo Driver.

You will design, implement, and optimize training and inference on TPU hardware, collaborate across distributed teams, and deliver robust libraries, tooling, and performance improvements for