ML Software Engineer Jobs at Waymo with Visa Sponsorship
ML Software Engineer jobs at Waymo involve building autonomous vehicles powered by machine learning, with focus on perception, prediction, and planning systems at the frontier of applied AI. Waymo has a consistent track record of sponsoring work visas for engineering talent, including H-1B visa, E-3 visa, and Green Card pathways.
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Get Access To All JobsINTRODUCTION
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 Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you!
This role follows a hybrid work schedule and reports to an Engineering Manager.
YOU WILL:
- Develop signals to measure the performance and driving qualities of the Waymo driver, using a range of techniques including statistics, math, physics, algorithms and machine learning.
- Use simulation creatively and mine real world driving logs to measure driving performance.
- Design and implement methods to make a stronger connection between onboard software changes and simulated outcomes.
- Champion code health and best practices in a large and complex code base.
- Analyze data and make recommendations on how to improve metric quality and interpretability.
- Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions.
YOU HAVE:
- BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area
- Strong self-motivation to navigate complex systems and pursue open-ended problems to completion
- 2-3 years of industry experience with
- Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL
- Performing statistical analyses
- Building data processing pipelines
- Writing, reviewing, and merging code following industry standards for code health and maintainability
- Quant/data fluency is a top requirement
WE PREFER:
- Experience coding in C++
- Experience with ML
- Experience with A/B experiment infrastructure
- Experience building and validating metrics to measure quality in complex systems
- Exposure to ad-hoc data analysis tools for rapid modeling and prototyping
- Experience working in the AV industry
LOCATION
MOUNTAIN VIEW, CALIFORNIA, UNITED STATES | SAN FRANCISCO, CALIFORNIA, UNITED STATES | NEW YORK CITY, NEW YORK, UNITED STATES
COMPENSATION
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.
- Salary Range: $213,000—$263,000 USD
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.
INTRODUCTION
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 Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you!
This role follows a hybrid work schedule and reports to an Engineering Manager.
YOU WILL:
- Develop signals to measure the performance and driving qualities of the Waymo driver, using a range of techniques including statistics, math, physics, algorithms and machine learning.
- Use simulation creatively and mine real world driving logs to measure driving performance.
- Design and implement methods to make a stronger connection between onboard software changes and simulated outcomes.
- Champion code health and best practices in a large and complex code base.
- Analyze data and make recommendations on how to improve metric quality and interpretability.
- Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions.
YOU HAVE:
- BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area
- Strong self-motivation to navigate complex systems and pursue open-ended problems to completion
- 2-3 years of industry experience with
- Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL
- Performing statistical analyses
- Building data processing pipelines
- Writing, reviewing, and merging code following industry standards for code health and maintainability
- Quant/data fluency is a top requirement
WE PREFER:
- Experience coding in C++
- Experience with ML
- Experience with A/B experiment infrastructure
- Experience building and validating metrics to measure quality in complex systems
- Exposure to ad-hoc data analysis tools for rapid modeling and prototyping
- Experience working in the AV industry
LOCATION
MOUNTAIN VIEW, CALIFORNIA, UNITED STATES | SAN FRANCISCO, CALIFORNIA, UNITED STATES | NEW YORK CITY, NEW YORK, UNITED STATES
COMPENSATION
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.
- Salary Range: $213,000—$263,000 USD
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.
Tips for Finding ML Software Engineer Jobs at Waymo
Align your portfolio to Waymo's ML stack
Waymo's engineering interviews weight applied ML work heavily, particularly in perception, sensor fusion, and large-scale model training. Publish projects or papers that reflect real-world robotics or autonomous systems experience before you apply.
Confirm your visa type fits the role
Waymo sponsors H-1B, H-1B1 visa, and E-3 visas for ML Software Engineers. If you're an Australian citizen, the E-3 has no lottery and processes faster. Clarify which category applies to you before accepting an offer so there are no surprises during filing.
Target open ML roles through Migrate Mate
Use Migrate Mate to filter ML Software Engineer openings at Waymo that actively include visa sponsorship. This saves time you'd otherwise spend verifying sponsorship eligibility role by role across general job boards.
Prepare your specialty occupation documentation early
For H-1B petitions, USCIS requires evidence that the role requires a specific degree in a directly related field. For ML Software Engineer positions, gather transcripts, degree certificates, and any credential evaluations before the offer stage, not after.
Ask about Green Card intent during offer negotiation
Waymo sponsors EB-2 and EB-3 Green Cards, but PERM labor certification timelines vary by role level and backlog for your country of birth. Raise your long-term immigration goals with the recruiter or HR contact before you sign, so timelines are understood upfront.
Time your application around the H-1B registration window
If you need an H-1B, USCIS opens the annual registration period in March. Starting your Waymo interview process in the preceding months gives your offer time to land before registration closes, avoiding a full year's delay.
Frequently Asked Questions
Does Waymo sponsor H-1B visas for ML Software Engineers?
Yes, Waymo sponsors H-1B visas for ML Software Engineers. The company has a consistent record of supporting visa filings for engineering roles, and ML Software Engineer positions are squarely within the specialty occupation categories USCIS recognizes for H-1B eligibility. Your offer letter should confirm sponsorship intent before you move through the interview loop.
How do I apply for ML Software Engineer jobs at Waymo?
Apply directly through Waymo's careers page or find open ML Software Engineer roles filtered by visa sponsorship on Migrate Mate. Waymo's hiring process for ML roles typically includes a recruiter screen, technical phone interviews covering ML fundamentals and systems design, and a virtual onsite with coding and domain-specific rounds. Prepare for questions on model training infrastructure, evaluation pipelines, and real-world deployment tradeoffs.
Which visa types does Waymo sponsor for ML Software Engineers?
Waymo sponsors H-1B, H-1B1 visa, and E-3 visas for ML Software Engineers, along with immigrant visa pathways including EB-2 and EB-3 for Green Card sponsorship. Australian citizens can pursue the E-3, which skips the lottery entirely and allows two-year renewable status. Canadian and Singaporean nationals may qualify for H-1B1. The right category depends on your nationality and career stage.
What qualifications does Waymo expect for ML Software Engineer roles?
Waymo typically looks for a bachelor's degree or higher in computer science, electrical engineering, or a closely related field, combined with hands-on ML experience. Roles at senior levels often require familiarity with perception systems, large-scale model training, or sensor data processing. For H-1B purposes, your degree field should directly correspond to the ML Software Engineer role, which USCIS scrutinizes during adjudication.
How do I manage visa filing timelines when joining Waymo as an ML Software Engineer?
If you need an H-1B cap-subject petition, Waymo must file during the April window following the March registration lottery. That sets your earliest start date at October 1. E-3 and H-1B1 visa petitions aren't cap-subject, so those can file year-round with shorter lead times. Coordinate your start date expectations with Waymo's recruiting team early so both sides plan around the applicable USCIS timeline.