Staff ML Engineer — High-Performance Simulation

Waymo LLC; New York (NY); Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k)

Equity opportunities

Hybrid work model

Remote work opportunities

Paid time off

Job summary

Waymo LLC's Simulator Team in New York seeks a senior ML engineer to optimize large-scale generative and diffusion models for driver simulation. You will analyze architectures, reduce training and inference time, and implement advanced quantization and pruning techniques across TPU/GPU targets.

You will collaborate with ML researchers and engineers to push 3D world modeling, maintain profiling tools, and improve serving latency in real-time simulation workloads.

Qualifications

• 5+ years of experience with deep learning architectures (Transformers, Diffusion Models, MoEs) and optimization techniques.
• Strong Python and C++ programming with software engineering best practices.
• Hands-on experience with quantization, pruning, distillation, and other model compression methods.
• Familiarity with ML compilers like XLA.
• Experience profiling ML workloads with XProf, Perfetto, Nsight; familiarity with TPUs/GPUs.

Responsibilities

• Analyze model architectures and identify bottlenecks in training and inference performance.
• Apply and develop quantization, pruning, knowledge distillation, and efficient attention mechanisms.
• Optimize model code for TPUs and GPUs, leveraging XLA and low-level libraries.
• Experiment with partitioning and sharding strategies to improve scalability and efficiency.
• Design and implement low-latency, high-throughput serving for generative models and ML workloads.

Skills

Python

C++

ML frameworks (TensorFlow/PyTorch)

JAX/Flax

Profiling tools

XLA

TPU/GPU optimization

Software engineering practices

Education

MS or PhD in Computer Science / ML / Robotics

Tools

JAX

Flax

TensorFlow

PyTorch

XLA

NVIDIA Nsight

Perfetto

XProf

XManager

Gemax

Job description

Waymo LLC's Simulator Team in New York seeks a senior ML engineer to optimize large-scale generative and diffusion models for driver simulation. You will analyze architectures, reduce training and inference time, and implement advanced quantization and pruning techniques across TPU/GPU targets.

You will collaborate with ML researchers and engineers to push 3D world modeling, maintain profiling tools, and improve serving latency in real-time simulation workloads.