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60 Waymo Infrastructure Software Engineer Jobs Hiring Near You

Waymo

Sr Software Engineer, Telematics

Mountain View, CA

$144K - $190K/yr

Waymo Onboard Infrastructure is responsible for low-level software and infrastructure on various ... Work on a small team of System Software and Linux Kernel Engineers to design, develop, and deploy ...

Waymo

Staff Software Engineer, Planner

Mountain View, CA · On-site

$251K - $310K/yr

Waymo is an autonomous driving technology company with the mission to be the world's most trusted ... Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software ...

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Waymo Jobs Information

What is it like to work at Waymo?

Waymo is a technology company that values innovation, collaboration, and safety, fostering an environment where employees can work together to develop and implement autonomous driving solutions.

The company's structure is organized into various teams, including software engineering, hardware development, and operations, allowing employees to specialize in their areas of expertise and contribute to the development of self-driving cars. Waymo's work environment is designed to encourage creativity and experimentation, with access to cutting-edge technology and resources.

Working at Waymo may appeal to individuals who are passionate about transforming the transportation industry and have a strong interest in artificial intelligence, machine learning, and software development, as the company offers opportunities to work on complex technical challenges and make a meaningful impact on society.
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Infographic showing various Infrastructure Software Engineer job openings at Waymo in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 97% Physical, and 3% Remote job distribution.
Principal Software Engineer - Waymo Driver Post Training

Principal Software Engineer - Waymo Driver Post Training

Waymo

Mountain View, CA • On-site

$349K - $431K/yr

Full-time

Posted 14 days ago

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 Perception team at Waymo builds technology that powers the Waymo Driver. Our models allow the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We conduct research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, allowing ML practitioners like you to develop multi-modal models and techniques at scale.
In this hybrid role, you will report to our Senior Director of Engineering, Perception.
You will:
  • Work closely with Onboard model engineers on rapid prototyping and experiments, to verify model design and training recipes, before decision to productionize
  • Whenever needed, prototype the necessary infrastructure (data, eval) to enable model experimentation
  • Drive post-training technology roadmap (e.g., RL techniques) and training recipe roadmap
  • Drive and contribute to the production rollout of major model architecture and recipe evolutions, to solve a variety of behavior contexts
  • Build and facilitate strong collaborations between Onboard and research teams across Waymo and Alphabet
  • Work closely with Onboard and collaborators to build and continuously evolve the post-training recipe roadmap, with milestones towards strong capability goals and continuous production impact

You have:
  • Remaining technical and hands-on, either currently as an individual contributor, or leading a small team
  • Actively writes code, reviews code, and runs experiments
  • Hands-on experience in post-training techniques, e.g., RL and SFT
  • Experience in at least one of Robotics, VLA, VLM. Strong in both theoretical and practical understanding in model architectures and training techniques; built SOTA models; built / extremely familiar with the entire model development process
  • Production driven experience and mindset - problem driven, strong ownership on quality and timely delivery, rigor in evaluation
  • Organizational awareness, extremely collaborative, strong communication, focus on value add to the company and to the team

We prefer:
  • Experienced at model optimization, model-compute codesign
  • Experienced at driving cross-org efforts in transitioning large systems through major evolutions
  • Experienced at modern ML data, training, and inference systems for large models
  • Strong track record coaching and growing engineers and leaders
  • Domain experience in either robotics or AV

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
$349,000-$431,000 USD

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