AI Engineer Jobs at Google with Visa Sponsorship
AI Engineer jobs at Google involve building some of the most advanced systems in the world, with engineering teams that reflect that ambition. For AI Engineers, roles span model development, infrastructure, and applied research across products used by billions. Google has a well-established process for sponsoring work visas, including H-1B visa, H-1B1 visa, and E-3 visa, for qualified candidates in this function.
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Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
Our Frontier AI team exists to answer one question: "What’s next?" by building AI-native foundations that are trusted, flexible, and multimodal—making advanced intelligence as accessible as a SQL query.
As Senior Staff Software Engineer, you will define the technical trajectory and provide the architectural goal across Google Cloud Platform to realize the end-to-end foundations powering our autonomous agents.
The US base salary range for this full-time position is $262,000-$365,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Lead the technical discovery and implementation of agentic workflows that transform the Data Cloud into an autonomous, AI-native foundation.
- Mentor a high-caliber team of engineers to balance rapid prototyping with the rigorous technical validation required for frontier AI capabilities.
- Partner with co-innovation stakeholders to translate "frontier problems" into clear technical specs, ensuring AI agents can access precise context for high-quality business actions.
- Balance immediate prototyping needs with long-term research goals, prioritizing high-leverage experiments that prove the value of embedded foundation models like Gemini.
- Design and deploy multimodal analytics capabilities directly within the Data Cloud, making complex model reasoning as accessible and performant as a standard SQL query.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 7 years of experience leading technical project strategy, ML design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of experience with design and architecture; and testing/launching software products.
- 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures and algorithms.
- 5 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
Benefits
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Seattle, WA, USA; Sunnyvale, CA, USA.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
Our Frontier AI team exists to answer one question: "What’s next?" by building AI-native foundations that are trusted, flexible, and multimodal—making advanced intelligence as accessible as a SQL query.
As Senior Staff Software Engineer, you will define the technical trajectory and provide the architectural goal across Google Cloud Platform to realize the end-to-end foundations powering our autonomous agents.
The US base salary range for this full-time position is $262,000-$365,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Lead the technical discovery and implementation of agentic workflows that transform the Data Cloud into an autonomous, AI-native foundation.
- Mentor a high-caliber team of engineers to balance rapid prototyping with the rigorous technical validation required for frontier AI capabilities.
- Partner with co-innovation stakeholders to translate "frontier problems" into clear technical specs, ensuring AI agents can access precise context for high-quality business actions.
- Balance immediate prototyping needs with long-term research goals, prioritizing high-leverage experiments that prove the value of embedded foundation models like Gemini.
- Design and deploy multimodal analytics capabilities directly within the Data Cloud, making complex model reasoning as accessible and performant as a standard SQL query.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 7 years of experience leading technical project strategy, ML design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of experience with design and architecture; and testing/launching software products.
- 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures and algorithms.
- 5 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
Benefits
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Seattle, WA, USA; Sunnyvale, CA, USA.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
See all AI Engineer Jobs at Google
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Get Access To All JobsTips for Finding AI Engineer Jobs at Google
Align your portfolio to Google's AI research
Google publishes research across DeepMind, Google Brain, and Google Research. Before applying, map your published work, open-source contributions, or projects to these areas. Reviewers in AI hiring look for evidence you've engaged with problems at this scale.
Target teams that file E-3 or H-1B1
If you're Australian or from Singapore or Chile, Google actively files E-3 and H-1B1 visa petitions, which aren't subject to the annual lottery. Prioritize these visa types in your application conversations to avoid H-1B cap timing constraints entirely.
Use Migrate Mate to filter open AI Engineer roles
Sponsor-confirmed AI Engineer positions at Google are searchable on Migrate Mate, filtered by visa type. This cuts out the guesswork of cold-applying to roles where sponsorship eligibility hasn't been verified upfront.
Time your offer around H-1B cap deadlines
If your role requires H-1B sponsorship, Google must register you in the USCIS lottery in March for an October 1 start. Starting your interview process between October and January gives recruiters enough runway to move through rounds before the registration window.
Prepare documentation that supports a specialty occupation finding
USCIS scrutinizes AI Engineer petitions to confirm the role requires a specific degree in a relevant field, not just a general computer science background. Have transcripts, degree equivalency evaluations, and job description documentation ready before your employer files Form I-129.
Clarify internal transfer options if you're already in the U.S.
Google frequently hires through its intern-to-full-time pipeline and internal mobility programs. If you're on OPT, confirm whether your role and start date allow a cap-exempt or change-of-status H-1B filing before your authorized period expires, so there's no gap in work authorization.
Frequently Asked Questions
Does Google sponsor H-1B visas for AI Engineers?
Yes, Google sponsors H-1B visas for AI Engineer roles. The process involves USCIS lottery registration in March, with employment starting October 1 if selected. Google's legal and immigration teams manage the filing process after an offer is extended, including the Labor Condition Application that must be certified by the DOL before the petition is filed.
Which visa types does Google use for AI Engineer roles?
Google sponsors H-1B, H-1B1 visa, and E-3 visas for AI Engineers depending on your nationality. H-1B1 is available to Singaporean and Chilean nationals, and E-3 is exclusive to Australian citizens. Both H-1B1 and E-3 bypass the annual lottery, which makes them significantly faster pathways to employment for eligible candidates.
What qualifications does Google expect for AI Engineer roles?
Google AI Engineer roles typically require a bachelor's degree at minimum in computer science, machine learning, or a closely related field, with a master's or PhD preferred for research-adjacent positions. Practical experience with large-scale model training, ML infrastructure, or applied AI systems carries significant weight, particularly if supported by publications or verifiable open-source contributions.
How do I apply for AI Engineer jobs at Google?
You can browse and apply for sponsor-confirmed AI Engineer positions at Google through Migrate Mate, which filters roles by visa type so you know upfront whether your visa category is supported. Google's hiring process for AI Engineers typically includes a recruiter screen, technical phone interviews, and a virtual onsite loop covering coding, system design, and ML-specific problem solving.
How do I plan my timeline if I need visa sponsorship at Google?
If you need H-1B sponsorship, target a start date of October 1 and work backward: USCIS registration opens in March, so you'll want an offer in hand by February at the latest. For E-3 or H-1B1 visa roles, there's no lottery, and consular processing typically takes two to six weeks after your employer receives DOL certification, giving you more scheduling flexibility.