Engineering Technician Jobs at Google with Visa Sponsorship
Engineering Technician jobs at Google sit at the intersection of hands-on hardware work and large-scale systems, supporting everything from data center infrastructure to device testing. Google has a well-established sponsorship process for this function, making it a realistic path for qualified candidates on H-1B visa, H-1B1 visa, or E-3 visas.
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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 Technician Jobs at Google
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Get Access To All JobsTips for Finding Engineering Technician Jobs at Google
Align your credentials to Google's lab environment
Google's Engineering Technician roles often require documented experience with specific test equipment, PCB assembly, or hardware validation. Before applying, tailor your resume to reflect hands-on lab skills and any certifications relevant to the hardware stack Google actually ships.
Target roles tied to Google's hardware divisions
Google's Pixel, TPU, and data center teams hire Engineering Technicians on different timelines. Focusing your search on these specific hardware product lines, rather than general openings, increases your chances of landing a team that actively sponsors and has recurring headcount.
Understand which visa fits your nationality
Google sponsors H-1B, H-1B1 visa, and E-3 visas for this role. Australian citizens should pursue the E-3 path, which has no lottery and is processed year-round. Singaporean and Chilean nationals can use the H-1B1. Everyone else applies through the H-1B cap, which runs on an annual lottery cycle.
Time your application around the H-1B lottery window
If you need H-1B sponsorship, USCIS opens registration in March each year for an October 1 start date. Receiving a full-time offer from Google before February gives your recruiter enough runway to submit your registration before the cap closes.
Clarify sponsorship intent before your technical interview
Google's recruiting coordinators handle sponsorship questions separately from hiring managers. After your initial screen, ask the coordinator directly whether the specific team and location are approved to sponsor your visa type, so you're not caught off guard at the offer stage.
Browse verified Engineering Technician openings on Migrate Mate
Filtering for roles by visa type and employer saves significant time at the search stage. Migrate Mate lets you browse Engineering Technician positions at Google that are open to sponsored candidates, so you can focus your applications on openings that match your visa situation.
Frequently Asked Questions
Does Google sponsor H-1B visas for Engineering Technicians?
Yes, Google sponsors H-1B visas for Engineering Technician roles. Because the H-1B is subject to an annual cap and lottery, your offer timing matters. Google's recruiting team typically coordinates registration during the March USCIS registration window, with employment starting October 1 if selected. Roles that require a specialized degree field are more straightforwardly supported through this pathway.
How do I apply for Engineering Technician jobs at Google?
Applications go through Google's careers portal at careers.google.com, where you can filter by job family and location. Engineering Technician postings appear under Hardware Engineering or Technical Operations depending on the division. Tailoring your resume to the specific product area, such as data center infrastructure or consumer hardware, improves your chances of passing the initial screening. Migrate Mate also lists Google's sponsored openings so you can verify visa eligibility before applying.
Which visa types does Google commonly use for Engineering Technician roles?
Google uses H-1B, H-1B1 visa, and E-3 visas for Engineering Technician positions depending on the candidate's nationality. Australian citizens are eligible for the E-3, which bypasses the lottery entirely and can be filed year-round. Singaporean and Chilean nationals may qualify for the H-1B1. Most other international candidates go through the standard H-1B cap process with its annual lottery.
What qualifications does Google expect for Engineering Technician roles?
Google typically looks for an associate's degree or bachelor's degree in electrical engineering, electronics, or a related technical field, combined with hands-on experience in hardware testing, lab equipment operation, or PCB work. Familiarity with specific tools like oscilloscopes, logic analyzers, or automated test frameworks is commonly listed. Roles supporting TPU or data center teams may also require experience working within large-scale or high-voltage environments.
How do I estimate the timeline from offer to visa approval for this role?
For H-1B candidates, the process runs roughly six to nine months from offer to start date, accounting for the March registration window and an October 1 effective date. E-3 and H-1B1 visa processing is faster since both bypass the lottery and can be approved by a U.S. consulate within a few weeks of filing. USCIS premium processing is available for H-1B petitions and reduces adjudication to roughly 15 business days once the petition is filed.