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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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 Business Systems team defines and builds the business IT architecture that supports the commercial operation of Waymo's autonomous fleet. The team stands at the intersection of finance, operations and IT; through creative architecture, expertise and attention to detail, it ensures that Waymo has world-class capabilities across all its business processes.
The Data Intelligence team is the strategic engine driving the democratization of AI across Waymo G&A. Operating at the unique intersection of cutting-edge Generative AI and corporate business strategy, we don't just build solutions in isolation we design, architect, and deploy intelligent, agentic systems that transform how Waymo operates. By bridging the gap between complex data and real-world business action, we empower G&A leaders (from Finance and Supply Chain to People Ops and Legal) to automate manual processes, scale operational efficiency, and make high-velocity, data-driven decisions as Waymo enters hyperscale.
This role follows a hybrid work schedule and reports to Data Intelligence Manager.
ROLE AND RESPONSIBILITIES
You will:
- Act as a domain authority in AI across G&A, mentoring team members, setting technical standards, and guiding leadership on AI investments and roadmap prioritization.
- Develop and prototype solutions by building proof-of-concepts that leverage large language models (LLMs), agent frameworks, and workflow orchestration tools.
- Provide technical oversight by reviewing code and prompts, guiding system design decisions, and defining evaluation methodologies and performance benchmarks.
- Partner with business units to identify manual bottlenecks in Finance, HR, Sales, Supply Chain and Marketing applying AI to automate complex processes.
- Oversee integration and deployment by ensuring seamless connectivity between AI agents and enterprise systems through APIs, data pipelines, and workflow platforms.
BASIC QUALIFICATIONS
You have:
- BS degree in Computer Science, or a related technical field, or equivalent practical experience
- 8-10 years of professional experience across data science, data engineering and business intelligence disciplines. 3+ years of technical experience with a focus on building and shipping AI/ML products
- Mandatory hands-on experience using GenAI tools (vibe-coding) to turn prompts into small prototypes in a constrained environment, then use that artifact to validate requirements.
- Strong proficiency in Python and experience with modern AI/ML frameworks (e.g. LangChain, Vertex AI Agent Builder, TensorFlow, PyTorch) and cloud platforms
- Experience with GCP, Vertex AI, A2A, MCP and ADK frameworks and their application in enterprise systems
- Excellent communication skills with the ability to articulate technical AI concepts to non-technical stakeholders
PREFERRED QUALIFICATIONS
We prefer:
- Deep expertise integrating AI and LLM solutions securely with major enterprise SaaS platforms (e.g., Salesforce, SAP, Workday, ServiceNow) in a complex, global corporate environment
- Experience designing advanced agentic patterns (e.g., multi-agent orchestration, complex RAG architectures, dynamic tool use) for automating multi-step, cross-platform business workflows.
- Proven track record of influencing cross-functional leadership, driving technical strategy, and managing organizational change to ensure high user adoption of new AI tools across non-technical business units
- Strong understanding of AI governance, enterprise data privacy standards, and security protocols (e.g., RBAC, data loss prevention) when deploying AI applications on internal corporate data
- Demonstrated ability to navigate ambiguity and drive projects from conception to launch in a fast-paced environment
- Experience acting as a technical multiplier—mentoring team members, setting engineering standards for AI tooling, and guiding leadership on AI investments and roadmap prioritization.
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: $200,000—$247,000 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 Business Systems team defines and builds the business IT architecture that supports the commercial operation of Waymo's autonomous fleet. The team stands at the intersection of finance, operations and IT; through creative architecture, expertise and attention to detail, it ensures that Waymo has world-class capabilities across all its business processes.
The Data Intelligence team is the strategic engine driving the democratization of AI across Waymo G&A. Operating at the unique intersection of cutting-edge Generative AI and corporate business strategy, we don't just build solutions in isolation we design, architect, and deploy intelligent, agentic systems that transform how Waymo operates. By bridging the gap between complex data and real-world business action, we empower G&A leaders (from Finance and Supply Chain to People Ops and Legal) to automate manual processes, scale operational efficiency, and make high-velocity, data-driven decisions as Waymo enters hyperscale.
This role follows a hybrid work schedule and reports to Data Intelligence Manager.
ROLE AND RESPONSIBILITIES
You will:
- Act as a domain authority in AI across G&A, mentoring team members, setting technical standards, and guiding leadership on AI investments and roadmap prioritization.
- Develop and prototype solutions by building proof-of-concepts that leverage large language models (LLMs), agent frameworks, and workflow orchestration tools.
- Provide technical oversight by reviewing code and prompts, guiding system design decisions, and defining evaluation methodologies and performance benchmarks.
- Partner with business units to identify manual bottlenecks in Finance, HR, Sales, Supply Chain and Marketing applying AI to automate complex processes.
- Oversee integration and deployment by ensuring seamless connectivity between AI agents and enterprise systems through APIs, data pipelines, and workflow platforms.
BASIC QUALIFICATIONS
You have:
- BS degree in Computer Science, or a related technical field, or equivalent practical experience
- 8-10 years of professional experience across data science, data engineering and business intelligence disciplines. 3+ years of technical experience with a focus on building and shipping AI/ML products
- Mandatory hands-on experience using GenAI tools (vibe-coding) to turn prompts into small prototypes in a constrained environment, then use that artifact to validate requirements.
- Strong proficiency in Python and experience with modern AI/ML frameworks (e.g. LangChain, Vertex AI Agent Builder, TensorFlow, PyTorch) and cloud platforms
- Experience with GCP, Vertex AI, A2A, MCP and ADK frameworks and their application in enterprise systems
- Excellent communication skills with the ability to articulate technical AI concepts to non-technical stakeholders
PREFERRED QUALIFICATIONS
We prefer:
- Deep expertise integrating AI and LLM solutions securely with major enterprise SaaS platforms (e.g., Salesforce, SAP, Workday, ServiceNow) in a complex, global corporate environment
- Experience designing advanced agentic patterns (e.g., multi-agent orchestration, complex RAG architectures, dynamic tool use) for automating multi-step, cross-platform business workflows.
- Proven track record of influencing cross-functional leadership, driving technical strategy, and managing organizational change to ensure high user adoption of new AI tools across non-technical business units
- Strong understanding of AI governance, enterprise data privacy standards, and security protocols (e.g., RBAC, data loss prevention) when deploying AI applications on internal corporate data
- Demonstrated ability to navigate ambiguity and drive projects from conception to launch in a fast-paced environment
- Experience acting as a technical multiplier—mentoring team members, setting engineering standards for AI tooling, and guiding leadership on AI investments and roadmap prioritization.
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: $200,000—$247,000 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 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.