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Software Engineer Intern
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Seattle, WA
Build and maintain Python-based services and components that run on Kubernetes in Azure as part of our ML application stack
Added 2 mins ago
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…new systems to life and developing software that shows the full power of novel hardware architectures. You want to help define the software stack of AMD's future hardware accelerators.Are…
Added 13 mins ago
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(USA) Staff, Software Engineer
Walmart
BELLEVUE, WA
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Walmart’s Associate Listening and Relations team is a full-stack Generative AI group within the People function, focused on empowering over 2.2 million associates worldwide through…
Added 18 mins ago
Software Engineer, Backend (Cooperative AI)
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Senior Software Back End Engineer
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Quant Analyst (PhD Required) (Full-Time)
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Added 33 mins ago
Software Engineer Intern
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Write clean, maintainable code in languages and frameworks such as C#, React, and Python
Added 50 mins ago
Principal Machine Learning Engineer
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Build and maintain full-stack AI applications by integrating model services with lightweight UI components, workflow engines or business-logic layers so insights reach users with sub-second…
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Python Developer - AI
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6+ years full stack software development experience building enterprise APIs and web applications including Python, AI, SQL, NodeJS, AWS, NLP & Search ML.
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AI/ML Application Software Engineer, Staff
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Good Understanding of complete AI Software stack and familiarity with AI performance tuning techniques on GPU, NPU based systems
Added 54 mins ago
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Software Engineer III, Performance, Platforms Infrastructure Engineering
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AI/ML Engineer
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- $136,125 to $226,875 USD / year
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Added 59 mins ago
Data Center Technician - Miami, FL
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Staff Network Engineer
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Waymo

Staff Machine Learning Engineer, AI Infrastructure

Mountain View, CA, United States
San Francisco, CA, United States
NY, United States

$251,000 - $310,000 USD

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Job details

Pay: $251,000 - $310,000 USD
Posting language: English
Posted: Nov 5, 2026

Original job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver - The World's Most Experienced Driver™ - to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The Driver Understanding and Evaluation (DUE) team at Waymo is developing rich metrics for understanding the behavior of the Waymo Driver in the real world, and technologies such as context and scene analysis to understand driving, understanding and augmenting real world driving data to generate rare driving events, build large scale data infrastructure, improve components such as agents and a realistic simulator. These technologies come together to drive the overall technical strategy and methodology used to evaluate the behavior of the Waymo Driver.

The DUE Machine Learning team will build and operate scalable machine learning and data systems, simulation workflow and insight tools, improve and speed up the evaluation and onboard developer journeys. It will combine expert human judgements and advanced machine learning models to deliver training and evaluation data for hundreds of metrics and components that make up the Waymo driver. We are looking for researchers and software engineers who are passionate about developing machine learning techniques for the Evaluation systems on our autonomous vehicles, and have an incessant drive to improve the performance of our technology stack.

You will:

Lead the design and development of ML infrastructure that takes DUE models from data to training to production serving, including event detection models, triage foundation models, and agents.
Design and scale distributed systems for large-scale dataset generation, model training, and evaluation across Waymo's real-world and simulation data.
Own the reliability, efficiency, and observability of production ML serving, including accelerator capacity planning and performance optimization.
Keep offline evaluation and production inference consistent, so the models we evaluate are the models we serve.
Drive technical direction for the team, guide architectural decisions, and mentor engineers.
Collaborate with modeling, evaluation, and platform teams across Waymo to turn product and business goals into measurable technical deliverables.

You have:

B.S. in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience.
7+ years of hands-on experience building machine learning systems.
Experience designing, scaling, training, deploying, and optimizing large-scale ML systems from data to model.
Strong coding experience in Python and/or C++.
Experience with ML frameworks such as JAX, TensorFlow, or PyTorch, including both the user-facing APIs and their internals.
Proven ability to set technical direction and influence partner teams in ambiguous problem spaces.

We prefer:

M.S. or Ph.D. in Computer Science or a related field with a specialization in machine learning.
10+ years of hands-on experience building production machine learning systems.
Experience serving ML models in production at scale, including low-latency inference on accelerators (TPU/GPU), SLOs, and safe model rollouts.
Technical leadership in serving production-quality models, including owning launches, reliability, and on-call for services that other teams depend on.
Experience with distributed training and accelerator performance profiling.
Experience in autonomous vehicles, robotics, or large-scale simulation.

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

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.

Salary Range

$251,000 - $310,000 USD

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