Senior Staff Software Engineer, Tlm

Waymo

Mountain View, CA, United States
Base: $281,000—$356,000 usd; bonus/equity: discret...
On-site
Scalable ml architecture
Foundation model architectures
Ml inference at petabyte scale
Waymo is seeking a Senior Staff Software Engineer for their autonomous driving technology team, focusing on building a scalable ML architecture for their Ground Truth engine. The ideal candidate will have a strong technical background in machine learning, significant management experience, and a passion for autonomous vehicle technology

Job Summary

  • Our mission is to build the high-fidelity, platform-agnostic Ground Truth (GT) engine that powers the next generation of autonomous vehicle (AV) simulation and evaluation.
  • As a TLM, you will be both a deep technical contributor and a people manager, guiding a high-performing team of ML and Backend engineers to solve the 'technical moat' of high-fidelity ML inference at a petabyte scale.
  • Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Matching Summary

Match Score: 85

Waymo is seeking a Senior Staff Software Engineer for their autonomous driving technology team, focusing on building a scalable ML architecture for their Ground Truth engine. The ideal candidate will have a strong technical background in machine learning, significant management experience, and a passion for autonomous vehicle technology.

Salary

Base: $281,000—$356,000 USD; Bonus/Equity: discretionary annual bonus program, equity incentive plan; Benefits: generous Company benefits program

Skills & Requirements

Must-have

  • Scalable ML Architecture
  • Foundation Model architectures
  • ML inference at petabyte scale
  • Python, Numpy, PyTorch or JAX
  • Large-scale data engineering
  • High-fidelity ML inference costs

Nice-to-have

  • Strategic leadership
  • People management
  • Cross-stakeholder alignment
  • Production-grade ML deployment
  • Autonomous Driving context

Key Requirements

  • Master’s or PhD in Computer Science, Machine Learning, Robotics
  • Experience managing 10+ Engineers or Research Scientists
  • Hands-on technical leadership experience
  • Deep understanding of Foundation Models
  • Experience building distributed systems at petabyte scale

Work Rights

Not specified

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