Waymo H-1B Visa Sponsorship Jobs USA
Waymo is a consistent H-1B visa sponsor, particularly for engineering, software, and autonomous systems roles where specialized technical talent is essential. As one of the more active sponsors in the autonomous vehicle and AI space, Waymo is a realistic target for H-1B candidates with strong technical backgrounds.
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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 Architecture & ML Integration (AMI) team sits within SIML and focuses on horizontal, cross-cutting challenges spanning Waymo's end-to-end system. Our mission is to enable rapid evolution towards an ML-first architecture that is modular, flexible, and easy to experiment with. We do this by improving onboard software architecture, system debuggability, and developer experience through better API designs and comprehensive pipelines. The AMI team drives the convergence of Planner and Perception systems and tackles critical shared infrastructure components.
ROLE AND RESPONSIBILITIES
You will:
- Have 8+ years of professional software development experience on large scale products
- Lead the software architecture and infrastructure development for onboard model consolidation across many onboard subsystems.
- Design and build an onboard framework to support flexible and efficient model integration and inference in Waymo’s onboard and simulation environments.
- Spearhead the alignment and unification of model’s data generation subsystem between model training data preparation and model inference.
- Develop Simulation solutions to enable robust testing and efficient evaluation/validation to enable good developer experience for consolidated model development.
- Embedded deeply with model teams to drive the productionization of unified models.
- Establish new software development best practices and technologies to accelerate model development and releases.
BASIC QUALIFICATIONS
You have:
- BS/MS in Comp Sci, EE, Robotics, Physics, Math, or related field (or equivalent experience)
- Extensive experience designing and building large-scale, high-performance C++ software architecture for mission-critical systems or ML inference.
- Proven track record of leading complex, cross-functional engineering projects as a technical lead.
- Deep understanding of ML deployment, inference frameworks, and associated developer tooling.
- Good communication and collaboration skills working with cross-org partner teams.
PREFERRED QUALIFICATIONS
We prefer:
- Master's or PhD in Computer Science, Machine Learning, Robotics, or a related field.
- Experience with data pipelines and feature extraction for machine learning models.
- Prior experience in the autonomous driving industry, particularly focusing on onboard compute, perception, or planning systems.
- Experience with hardware accelerators (e.g., TPUs, GPUs) and ML models inference in edge/onboard environments.
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: $251,000—$310,000 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 Architecture & ML Integration (AMI) team sits within SIML and focuses on horizontal, cross-cutting challenges spanning Waymo's end-to-end system. Our mission is to enable rapid evolution towards an ML-first architecture that is modular, flexible, and easy to experiment with. We do this by improving onboard software architecture, system debuggability, and developer experience through better API designs and comprehensive pipelines. The AMI team drives the convergence of Planner and Perception systems and tackles critical shared infrastructure components.
ROLE AND RESPONSIBILITIES
You will:
- Have 8+ years of professional software development experience on large scale products
- Lead the software architecture and infrastructure development for onboard model consolidation across many onboard subsystems.
- Design and build an onboard framework to support flexible and efficient model integration and inference in Waymo’s onboard and simulation environments.
- Spearhead the alignment and unification of model’s data generation subsystem between model training data preparation and model inference.
- Develop Simulation solutions to enable robust testing and efficient evaluation/validation to enable good developer experience for consolidated model development.
- Embedded deeply with model teams to drive the productionization of unified models.
- Establish new software development best practices and technologies to accelerate model development and releases.
BASIC QUALIFICATIONS
You have:
- BS/MS in Comp Sci, EE, Robotics, Physics, Math, or related field (or equivalent experience)
- Extensive experience designing and building large-scale, high-performance C++ software architecture for mission-critical systems or ML inference.
- Proven track record of leading complex, cross-functional engineering projects as a technical lead.
- Deep understanding of ML deployment, inference frameworks, and associated developer tooling.
- Good communication and collaboration skills working with cross-org partner teams.
PREFERRED QUALIFICATIONS
We prefer:
- Master's or PhD in Computer Science, Machine Learning, Robotics, or a related field.
- Experience with data pipelines and feature extraction for machine learning models.
- Prior experience in the autonomous driving industry, particularly focusing on onboard compute, perception, or planning systems.
- Experience with hardware accelerators (e.g., TPUs, GPUs) and ML models inference in edge/onboard environments.
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: $251,000—$310,000 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.
Job Roles at Waymo
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Get Access To All JobsTips for Finding Waymo H-1B Jobs
Target Waymo's core technical teams
Waymo's H-1B sponsorship is concentrated in software engineering, machine learning, robotics, and perception research. Focusing your applications on these departments gives you the strongest chance of landing a role that qualifies for H-1B sponsorship.
Understand Waymo's specialty occupation requirements
H-1B eligibility requires your role to qualify as a specialty occupation. At Waymo, this typically means roles requiring a degree in computer science, electrical engineering, or a closely related field. Ensure your background aligns before applying.
Engage early with Waymo's recruiting team
Waymo's hiring process for H-1B candidates can be lengthy due to LCA filing and petition preparation. Reaching out to recruiters early and being transparent about your visa needs helps avoid last-minute timeline crunches before your status expires.
Search verified H-1B sponsors before applying
Not every open role at Waymo will come with guaranteed H-1B sponsorship. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history, helping you prioritize roles most likely to move forward with your visa.
Prepare for a rigorous technical interview process
Waymo competes for elite technical talent in autonomous vehicles and AI. Candidates who clear the technical bar are far more likely to have H-1B sponsorship approved, since Waymo must demonstrate the role requires specialized expertise when filing your petition.
Factor in H-1B cap timing and lottery risk
If you're currently on OPT or another status, confirm your cap-subject H-1B timeline with Waymo's HR team early. Missing the March registration window or failing lottery selection can derail an otherwise successful offer and hiring process.
Waymo H-1B Visa Sponsorship: Frequently Asked Questions
Does Waymo sponsor H-1B visas?
Yes, Waymo sponsors H-1B visas for qualified candidates, particularly in technical and engineering roles central to its autonomous vehicle technology. Waymo is a recognized H-1B sponsor in the technology sector, making it a viable target for international candidates with relevant specialized skills. Sponsorship is most common for roles requiring advanced expertise in software, AI, or robotics.
Which roles and departments at Waymo typically receive H-1B sponsorship?
H-1B sponsorship at Waymo is most common in software engineering, machine learning, computer vision, robotics, and systems engineering. These roles align closely with the specialty occupation standard the H-1B requires. Business, operations, and generalist roles are less likely to qualify, since H-1B approval depends on demonstrating that the position requires a specific technical degree.
How do I apply for a job at Waymo as an H-1B candidate?
Apply through Waymo's careers page and disclose your visa status early in the process. Once you receive an offer, Waymo's legal team files the Labor Condition Application with the Department of Labor, then submits the H-1B petition to USCIS. Migrate Mate can help you identify which Waymo roles have a verified H-1B sponsorship history before you invest time in the application.
How long does the H-1B sponsorship process take at Waymo?
The full H-1B timeline depends on USCIS processing and whether premium processing is used. Standard processing can take several months after the petition is filed on April 1. Premium processing typically returns a decision within a few weeks. Factor in LCA certification time, which adds around seven business days before the USCIS petition can even be submitted.
What can I do to improve my chances of H-1B sponsorship at Waymo?
Align your application to Waymo's core technical disciplines, particularly autonomous systems, ML, and software engineering, where sponsorship is most active. Be upfront about your visa timeline during recruiting so Waymo can plan accordingly. Having a well-documented degree that maps directly to the role strengthens the specialty occupation case USCIS will evaluate when reviewing your petition.
What is the prevailing wage for H-1B jobs at Waymo?
H-1B employers must pay at least the prevailing wage, which is determined when they file the Labor Condition Application with the Department of Labor. The rate is based on the role, location, and experience level, and ensures international hires are paid comparably to U.S. workers in the same position. You can look up prevailing wage rates for any occupation and location using the DOL's OFLC Wage Search tool.