Senior Software Engineering Visa Sponsorship Jobs in California
California leads the U.S. in senior software engineering visa sponsorship, driven by major tech employers like Google, Apple, Meta, and Salesforce across the San Francisco Bay Area, Los Angeles, and San Diego. The state's concentration of enterprise software, AI, and cloud infrastructure companies makes it one of the most active markets for H-1B visa sponsorship at the senior level.
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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.
Senior Software Engineering Job Roles in California
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Search Senior Software Engineering Jobs in CaliforniaSenior Software Engineering Jobs in California: Frequently Asked Questions
Which companies sponsor visas for senior software engineers in California?
California's largest H-1B sponsors for senior software engineering roles include Google, Apple, Meta, Amazon, Salesforce, Adobe, Nvidia, and Intel, primarily concentrated in the Bay Area. Enterprise software companies in San Jose and cloud infrastructure firms in Seattle-adjacent offices also file significant H-1B volumes. Sponsorship activity is highest at large tech employers with established immigration programs and dedicated legal teams.
Which visa types are most common for senior software engineering roles in California?
The H-1B is the most common visa for senior software engineers in California, as these roles consistently qualify as specialty occupations requiring a related bachelor's degree or higher. Some senior engineers transfer from multinational employers on L-1B visas. Candidates with extraordinary ability may qualify for the O-1A. Australians specifically should note California employers actively sponsor the E-3 visa for senior engineering roles.
Which cities in California have the most senior software engineering sponsorship jobs?
The San Francisco Bay Area, including San Jose, Mountain View, Sunnyvale, and San Francisco itself, accounts for the largest share of senior software engineering sponsorship activity in California. Los Angeles is the second-largest market, with growth in fintech, entertainment technology, and aerospace software. San Diego has a strong cluster of defense technology and biotech software engineering roles that also sponsor visas.
How to find senior software engineering visa sponsorship jobs in California?
Migrate Mate filters job listings specifically by visa sponsorship availability, letting you search senior software engineering roles in California without manually screening hundreds of postings. Because California's tech market moves quickly, the platform surfaces active sponsoring employers across the Bay Area, Los Angeles, and San Diego. Filtering by role seniority and state on Migrate Mate helps narrow results to companies with established H-1B sponsorship programs.
Are there state-specific considerations for senior software engineering visa sponsorship in California?
California's prevailing wage requirements under H-1B rules reflect some of the highest wage levels in the country, particularly in the Bay Area and Los Angeles metro areas. This means sponsoring employers must offer compensation benchmarked to local market rates, which DOL calculates using the Occupational Employment and Wage Statistics survey. University pipelines from UC Berkeley, Stanford, UCLA, and UC San Diego contribute significantly to the pool of senior engineering candidates that California employers sponsor each year.
What is the prevailing wage for sponsored senior software engineering jobs in California?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.