PitchMeAI Jobs
Waymo

Senior Machine Learning Engineer, Runtime and Serving

Waymo · Mountain View, CA, USA

Posted about 3 months ago

or apply directly on Waymo's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
Waymo's roles stay open a median of 81 days
Reposted
No
Salary listed
No
0% of Waymo's roles list one
Ghost-job risk at Waymo
high
348 stale, 9 reposted of 353 open
Hiring momentum
490 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-23

Measured from postings appearing on and disappearing from Waymo's own greenhouse board since 2026-08-03. Full hiring picture for Waymo.

About this role

As a Senior Machine Learning Engineer at Waymo, you will architect and develop a high-performance ML runtime and serving system for both onboard autonomous vehicles and offboard data centers. Your role involves optimizing ML workloads, integrating features across systems, and collaborating with other ML practitioners to enhance the overall machine learning infrastructure. You will also design tools for profiling and benchmarking the ML software stack.

Our read on this posting2.6out of 5
benefits
2/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Waymo as an employer.

What you need

  • B.S. or M.S. in CS, EE, Deep Learning or a related field
  • 5+ years of professional software engineering experience focused on building, scaling, or maintaining ML systems and infrastructure
  • 5+ years production programming in C++
  • 3+ years of production experience in Python and major deep learning frameworks (e.g., PyTorch, JAX)
  • Experience optimizing ML software for hardware accelerators (e.g., GPUs, TPUs, custom silicon)
  • Experience building low-latency, highly concurrent distributed backend systems

Nice to have

  • PhD in CS, EE, Deep Learning or a related field
  • Experience modifying ML compilers, runtimes, or inference engines (e.g., TensorRT, ONNX Runtime, OpenXLA/PjRT, TVM)
  • Experience building or scaling LLM serving systems, including expertise in distributed inference and performance optimization (e.g., KV/prefix caching, continuous batching)
  • Experience with custom kernel development (e.g., CUDA/CUDA Tile, Triton, JAX/Pallas)
  • Experience architecting unified serving APIs and optimizing tensor buffer management (e.g., zero-copy data transfer, shared memory) for complex, multi-model inference pipelines

What you get

  • Discretionary annual bonus program
  • Equity incentive plan
  • Generous Company benefits program

Worth weighing

  • No specific details on remote work options
  • Salary range provided but dependent on various factors
  • Role involves working with potentially complex and evolving technology stacks

Summarised from Waymo's posting. Read the full original.

Listed by Waymo on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

More roles at Waymo

All 353 open roles at Waymo →