Engineering Jobs at Google with Visa Sponsorship
Engineering jobs at Google span software, hardware, infrastructure, and AI disciplines, with the company maintaining a well-established process for sponsoring work visas through its dedicated immigration legal team. If you're targeting an Engineering role here, sponsorship for qualified candidates is a standard part of the offer process.
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Get Access To All JobsINTRODUCTION
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started - and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $365000 (USD) + 25% bonus target + equity + benefits
ROLE AND RESPONSIBILITIES
- Set and communicate team priorities that support the broader organization's goals, ensuring alignment of strategy, processes, and decision-making across teams.
- Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals while meeting regularly with individuals to discuss performance and development and provide feedback and coaching.
- Develop the long-term technical goals and roadmap within, and often beyond, the scope of your teams, and evolve the roadmap to meet anticipated future requirements and infrastructure needs.
- Oversee systems designs within the scope of the broader area, and review product or system development code to solve ambiguous problems.
- Drive technical project strategy, lead large-scale ML infrastructure optimization, and oversee the design and implementation of solutions across multiple specialized ML areas.
MINIMUM QUALIFICATIONS
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- 5 years of experience in a technical leadership role.
- 5 years of experience in a people management or team leadership role.
PREFERRED QUALIFICATIONS
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 5 years of experience working in a complex, matrixed organization.
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.
INTRODUCTION
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started - and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $365000 (USD) + 25% bonus target + equity + benefits
ROLE AND RESPONSIBILITIES
- Set and communicate team priorities that support the broader organization's goals, ensuring alignment of strategy, processes, and decision-making across teams.
- Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals while meeting regularly with individuals to discuss performance and development and provide feedback and coaching.
- Develop the long-term technical goals and roadmap within, and often beyond, the scope of your teams, and evolve the roadmap to meet anticipated future requirements and infrastructure needs.
- Oversee systems designs within the scope of the broader area, and review product or system development code to solve ambiguous problems.
- Drive technical project strategy, lead large-scale ML infrastructure optimization, and oversee the design and implementation of solutions across multiple specialized ML areas.
MINIMUM QUALIFICATIONS
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
- 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- 5 years of experience in a technical leadership role.
- 5 years of experience in a people management or team leadership role.
PREFERRED QUALIFICATIONS
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 5 years of experience working in a complex, matrixed organization.
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 80+ Engineering Jobs at Google
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Engineering Jobs at Google.
Get Access To All JobsTips for Finding Engineering Jobs at Google
Align your credentials to Google's engineering ladder
Google's Engineering roles map to a defined leveling system from L3 to L7 and above. Before applying, identify which level matches your experience so your resume speaks to the scope and impact expectations at that specific level.
Target teams known for visa-friendly hiring
Google's Search, Cloud, and AI divisions consistently file for H-1B, H-1B1 visa, and E-3 visas. Search DOL Labor Condition Application disclosure data to see which Google offices and job titles have the strongest recent sponsorship history before you target specific teams.
Prepare your specialty occupation documentation early
USCIS requires your Engineering role to qualify as a specialty occupation. Gather your degree transcripts, any credential evaluations for non-U.S. degrees, and documentation linking your specific field of study to the Engineering job description before your offer stage.
Understand Google's H-1B lottery timing constraints
If you need a cap-subject H-1B, USCIS registration opens in March for an October 1 start date. A Google offer made after April with no existing work authorization means you'll wait up to 18 months before starting unless you qualify for a cap-exempt pathway.
Use Migrate Mate to find open Engineering roles at Google
Google posts Engineering positions across dozens of specializations simultaneously and hiring moves quickly. Use Migrate Mate to filter open Google Engineering jobs by visa type so you're applying only to roles where your specific sponsorship category is supported.
Negotiate your start date around visa processing windows
Once Google extends an offer, your immigration legal team files the LCA with DOL before petitioning USCIS. Build at least 60 to 90 days into your expected start date to account for LCA certification and H-1B or E-3 filing processing timelines.
Frequently Asked Questions
Does Google sponsor H-1B visas for Engineers?
Yes, Google sponsors H-1B visas for Engineering roles and has done so consistently across its U.S. offices. Google's internal immigration team manages the process alongside outside counsel. If you're on OPT or need a cap-subject H-1B, Google will file your petition during the annual USCIS registration window in March for an October 1 start date.
Which visa types does Google sponsor for Engineering roles?
Google sponsors H-1B visas for most Engineering hires requiring work authorization. Australian citizens in qualifying Engineering roles can be sponsored for the E-3 visa, which has no lottery and can be filed year-round. Google also sponsors H-1B1 visas for citizens of Singapore and Chile. All three visa types require your Engineering role to meet USCIS specialty occupation standards.
What qualifications does Google expect for sponsored Engineering roles?
Most Engineering roles at Google require a bachelor's degree or higher in computer science, electrical engineering, or a directly related technical field. Senior and staff-level roles expect demonstrated impact at scale, often validated through Google's structured interview process covering algorithms, system design, and domain-specific knowledge. Your degree field must align with the role for USCIS specialty occupation approval.
How do I apply for Engineering jobs at Google?
Browse open Engineering positions filtered by visa sponsorship type on Migrate Mate to identify roles aligned with your work authorization needs. Apply through Google's careers portal with a resume that reflects Google's leveling expectations. Google's interview process for Engineering roles typically includes a recruiter screen, technical phone interviews, and an onsite or virtual loop before an offer is extended.
How do I time my Engineering job search at Google around visa deadlines?
If you need a cap-subject H-1B, USCIS registration closes in late March and approved petitions start October 1. Target a Google offer by February to give your immigration team enough time to prepare. If you're on OPT with a STEM extension, you have more flexibility, but you should still factor in USCIS H-1B processing timelines of three to six months without premium processing.