Waymo Visa Sponsorship Jobs USA
Waymo is one of the most active visa sponsors in the autonomous vehicle and AI technology space, with a strong track record across H-1B visa, E-3 visa, and Green Card pathways. For international candidates in software engineering, machine learning, and robotics, Waymo represents a serious sponsorship opportunity.
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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 Perception team at Waymo builds technology that powers the Waymo Driver. Our software allows 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, enabling software engineers like you to develop multi-modal models and techniques at scale.
Our mission is to build a stable foundation for a high-level Perception pipeline and the overall self-driving system. We act as the crucial interface between Waymo's hardware teams and the rest of the self-driving engineering organization, defining sensor requirements, providing critical feedback to hardware teams, and abstracting away system complexities.
The Sensor Health team's job is to make sure that sensors "just work" for the entire self-driving car software stack. We make sure that all sensors are properly calibrated and consistently monitored at all times. We are often the firsts to algorithmically process data from next-generation sensors on next-generation vehicle platforms and work closely with both hardware and software teams to provide the best possible sensor data from our many sensors perfectly aligned to our upstream customers. To this end, we develop sensor data alignment and calibration algorithms, a growing sensor health backend, and deploy our systems both into the Waymo Driver and our log processing backend.
In this hybrid role, you will report to a Technical Lead Manager.
ROLE AND RESPONSIBILITIES
You will:
- Dive deep into the Waymo Driver’s perception stack and build a deep understanding of its capabilities in various driving conditions
- Help set the perception development direction to allow the stack to scale to new driving environments, platforms, and sensors
- Collaborate across world-class engineering teams to influence the roadmap for next-generation perception technology
- Architect high-scale, mission-critical automation and evaluation frameworks that establish the "ultimate truth" for the safety, performance, and reliability of the Waymo Driver
- Innovate simulation tools for advanced sensor emulation, rigorously testing vehicle performance against complex impairments and edge-case faults
- Support sign-off process for all stages of sensing system development and software releases. Present results at milestone sign-off reviews
BASIC QUALIFICATIONS
You have:
- BS in Computer Science, Robotics, similar technical field of study, or equivalent practical experience
- 2+ years of experience in industrial AI applications involving the creation, maintenance, and evaluation of ML products
- Experience developing and conducting eval for large ML software systems
- Strong experience programming in C++ with robust and efficient code
PREFERRED QUALIFICATIONS
We prefer:
- MS or PhD in Computer Science, Robotics, similar technical field of study, or equivalent practical experience with at least 2 years of industry experience
- Experience with autonomous vehicles (L4) or ADAS systems (L2/L3)
- Strong software architecture skills
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: $170,000—$216,000 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.
LOCATION
MOUNTAIN VIEW, CALIFORNIA, UNITED STATES. SAN FRANCISCO, CALIFORNIA, UNITED STATES
JOB TYPE
FULL-TIME
FIELD
SOFTWARE ENGINEERING
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 Perception team at Waymo builds technology that powers the Waymo Driver. Our software allows 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, enabling software engineers like you to develop multi-modal models and techniques at scale.
Our mission is to build a stable foundation for a high-level Perception pipeline and the overall self-driving system. We act as the crucial interface between Waymo's hardware teams and the rest of the self-driving engineering organization, defining sensor requirements, providing critical feedback to hardware teams, and abstracting away system complexities.
The Sensor Health team's job is to make sure that sensors "just work" for the entire self-driving car software stack. We make sure that all sensors are properly calibrated and consistently monitored at all times. We are often the firsts to algorithmically process data from next-generation sensors on next-generation vehicle platforms and work closely with both hardware and software teams to provide the best possible sensor data from our many sensors perfectly aligned to our upstream customers. To this end, we develop sensor data alignment and calibration algorithms, a growing sensor health backend, and deploy our systems both into the Waymo Driver and our log processing backend.
In this hybrid role, you will report to a Technical Lead Manager.
ROLE AND RESPONSIBILITIES
You will:
- Dive deep into the Waymo Driver’s perception stack and build a deep understanding of its capabilities in various driving conditions
- Help set the perception development direction to allow the stack to scale to new driving environments, platforms, and sensors
- Collaborate across world-class engineering teams to influence the roadmap for next-generation perception technology
- Architect high-scale, mission-critical automation and evaluation frameworks that establish the "ultimate truth" for the safety, performance, and reliability of the Waymo Driver
- Innovate simulation tools for advanced sensor emulation, rigorously testing vehicle performance against complex impairments and edge-case faults
- Support sign-off process for all stages of sensing system development and software releases. Present results at milestone sign-off reviews
BASIC QUALIFICATIONS
You have:
- BS in Computer Science, Robotics, similar technical field of study, or equivalent practical experience
- 2+ years of experience in industrial AI applications involving the creation, maintenance, and evaluation of ML products
- Experience developing and conducting eval for large ML software systems
- Strong experience programming in C++ with robust and efficient code
PREFERRED QUALIFICATIONS
We prefer:
- MS or PhD in Computer Science, Robotics, similar technical field of study, or equivalent practical experience with at least 2 years of industry experience
- Experience with autonomous vehicles (L4) or ADAS systems (L2/L3)
- Strong software architecture skills
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: $170,000—$216,000 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.
LOCATION
MOUNTAIN VIEW, CALIFORNIA, UNITED STATES. SAN FRANCISCO, CALIFORNIA, UNITED STATES
JOB TYPE
FULL-TIME
FIELD
SOFTWARE ENGINEERING
Job Roles at Waymo
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Get Access To All JobsTips for Finding Waymo Visa Sponsorship Jobs USA
Target roles in Waymo's core technical domains
Waymo sponsors most heavily for software engineering, machine learning, and robotics roles. Focusing your application on these areas, rather than generalist positions, puts you in the strongest position for sponsorship consideration within their hiring pipeline.
Understand which visa types Waymo actively files
Waymo sponsors H-1B, H-1B1 visa, E-3, and employment-based Green Cards. Knowing which category fits your background before you apply helps you have an informed conversation with recruiters about your specific sponsorship pathway from day one.
Australian candidates should highlight E-3 eligibility early
Waymo is an active E-3 sponsor, which is significant, many tech companies overlook it. If you're an Australian citizen, flagging your E-3 eligibility upfront removes a common recruiter hesitation and demonstrates you understand the sponsorship process.
Prepare for a technically rigorous interview process
Waymo's hiring bar in autonomous vehicle technology is exceptionally high. Candidates who demonstrate deep domain knowledge, in perception, planning, or large-scale distributed systems, are far more likely to reach offer stages where sponsorship decisions are made.
Look for roles tied to Waymo's active product teams
Roles supporting Waymo One and Waymo Via, their commercial ride-hail and trucking operations, tend to reflect the most consistent hiring activity. Targeting these teams increases your chances of landing in an active headcount plan with sponsorship approval already in place.
Use Migrate Mate to find verified Waymo sponsorship roles
Waymo's sponsorship history covers multiple visa types, but not every open role comes with guaranteed sponsorship. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history and focus only on positions where international candidates are actively considered.
Frequently Asked Questions
Does Waymo sponsor H-1B visas?
Yes, Waymo sponsors H-1B visas and is one of the more active sponsors in the autonomous vehicle and AI technology industry. H-1B sponsorship at Waymo is concentrated in technical roles such as software engineering, machine learning, and sensor systems. The company also sponsors H-1B1 visas for eligible nationals from Chile and Singapore.
What visa types does Waymo sponsor?
Waymo sponsors H-1B, H-1B1 visa, and E-3 visa nonimmigrant work visas, as well as employment-based Green Cards through the EB-2 and EB-3 categories. The Green Card pathway is particularly active, which signals that Waymo invests in long-term sponsorship, not just initial work authorization, for employees it wants to retain.
Which departments or roles at Waymo are most likely to receive visa sponsorship?
Sponsorship at Waymo is most common in software engineering, machine learning, robotics, and hardware engineering, the technical core of their autonomous driving program. Research and perception roles also see strong sponsorship activity. Business operations and corporate functions are sponsored less frequently, though it does occur for specialized positions.
How do I find open jobs at Waymo that offer visa sponsorship?
Migrate Mate aggregates roles from verified sponsors like Waymo and lets you filter by visa type, so you can identify positions where H-1B, E-3, or Green Card sponsorship is part of the offer. This saves time compared to applying broadly and discovering sponsorship availability late in the process. Focus your search on Waymo's technical teams for the highest sponsorship likelihood.
How do I approach the Waymo application process as an international candidate?
Disclose your visa sponsorship needs early, Waymo's recruiters are experienced with the process, and transparency prevents wasted time on both sides. Tailor your application to Waymo's specific technology stack and mission in autonomous vehicles. Given their active Green Card sponsorship history, demonstrating a long-term commitment to the company's work strengthens your candidacy beyond just the initial visa stage.