H-1B Visa Senior Software Engineering Jobs
Senior Software Engineering roles rank among the highest H-1B petition volumes of any occupation, with employers filing LCAs under SOC codes for software developers and software quality assurance engineers. Most positions qualify as specialty occupations under USCIS standards, requiring at least a bachelor's degree in computer science, software engineering, or a closely related field.
See All Senior Software Engineering JobsOverview
Showing 5 of 15,854+ Senior Software Engineering jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 15,854+ Senior Software Engineering jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior Software Engineering roles.
Get Access To All JobsMinimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience with 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 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.
About the job
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.
In this role, you will establish and refine processes to source, evaluate, and prioritize new ambitious moonshot ideas. You will lead the technical development and de-risking of promising early-stage projects and provide guidance and architectural direction. You will identify projects and guide them through the necessary steps to become efforts or products. You will also implement mechanisms for rapid learning, decision-making, and pivoting; additionally, you will identify projects that are not on a path to success and reallocate resources effectively.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
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
- Set and communicate team priorities that support the broader organization's goals. Align 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. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
- Develop the long-term technical goal and roadmap within, and often beyond, the scope of your teams. 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 Machine Learning (ML) infrastructure optimization, and oversee the design and implementation of solutions across multiple specialized ML areas.
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.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience with 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 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.
About the job
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.
In this role, you will establish and refine processes to source, evaluate, and prioritize new ambitious moonshot ideas. You will lead the technical development and de-risking of promising early-stage projects and provide guidance and architectural direction. You will identify projects and guide them through the necessary steps to become efforts or products. You will also implement mechanisms for rapid learning, decision-making, and pivoting; additionally, you will identify projects that are not on a path to success and reallocate resources effectively.
The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
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
- Set and communicate team priorities that support the broader organization's goals. Align 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. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
- Develop the long-term technical goal and roadmap within, and often beyond, the scope of your teams. 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 Machine Learning (ML) infrastructure optimization, and oversee the design and implementation of solutions across multiple specialized ML areas.
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 15,854+ Senior Software Engineering jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior Software Engineering roles.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship in Senior Software Engineering
Verify your degree meets specialty occupation standards
USCIS requires a direct relationship between your degree field and the senior engineering role. A computer science or software engineering degree clears this cleanly; an unrelated degree paired with years of experience often triggers an RFE, so gather transcripts and credential evaluations early.
Check prevailing wages before negotiating your offer
Your employer's LCA must certify a wage at or above the DOL prevailing wage for your SOC code and work location. Use the OFLC Wage Search to find the Level III or Level IV wage for senior roles in your metro before your offer conversation.
Filter employers by verified H-1B filing history on Migrate Mate
Not every company that posts senior engineering roles has an active H-1B program. Migrate Mate surfaces employers with confirmed LCA filing history so you focus your applications on companies that have already gone through the sponsorship process.
Target cap-exempt organizations to skip the lottery
Universities, nonprofit research institutions, and certain government research organizations are cap-exempt, meaning your employer can file an H-1B petition any time of year with no lottery exposure. Senior engineering roles at these institutions follow the same technical requirements but eliminate lottery timing risk entirely.
Request premium processing when your start date is firm
USCIS premium processing guarantees a decision within 15 business days. For senior engineering roles with a negotiated start date tied to a product launch or team onboarding cycle, premium processing prevents the ambiguity of standard timelines from colliding with your employer's planning.
Document your senior-level scope clearly in the job description
USCIS scrutinizes whether a role genuinely requires a degree rather than just preferring one. Your employer's job description and LCA should detail system architecture ownership, technical leadership responsibilities, and complexity that distinguishes the role from a mid-level position.
Senior Software Engineering jobs are hiring across the US. Find yours.
Find Senior Software Engineering JobsSenior Software Engineering H-1B Visa: Frequently Asked Questions
Do Senior Software Engineering roles qualify as H-1B specialty occupations?
Yes. Senior Software Engineering positions qualify because they require at least a bachelor's degree in a specific technical field such as computer science, software engineering, or electrical engineering. USCIS evaluates the actual duties, not just the title, so the job description must reflect work that inherently requires that degree-level knowledge. Roles involving system design, architecture decisions, and cross-functional technical leadership typically satisfy this standard without issue.
How do I find employers actively sponsoring H-1B visas for software engineering roles?
Migrate Mate lists Senior Software Engineering jobs filtered by employers with documented H-1B LCA filing history, so you can skip companies that have never sponsored and focus on those with an active track record. DOL LCA disclosure data is publicly available and updated quarterly, and Migrate Mate surfaces that data directly alongside job listings so you're not guessing about a company's sponsorship posture.
What happens to my H-1B if I get promoted or change teams after sponsorship?
A promotion to a materially different role, such as moving from individual contributor to engineering manager with different primary duties, may require an amended H-1B petition. A lateral team change with the same job duties and title typically does not. Your employer's immigration counsel should evaluate whether the new role's SOC code or duties differ enough from the original LCA to trigger an amendment, because filing after the fact creates compliance risk.
Can my employer file my H-1B at a lower wage level if I'm mid-career?
Your employer must pay at least the DOL prevailing wage for the specific SOC code and work location, but they can choose any wage level from Level I through Level IV that accurately reflects your experience and responsibilities. For senior roles, USCIS and DOL both expect Level III or Level IV wages. Filing a senior position at Level I can draw scrutiny from both agencies and should be avoided regardless of what the offer letter says.
Does working remotely affect my H-1B if my employer is in a different city?
Yes. Your H-1B and LCA are tied to a specific work location. If you work remotely from a different metro area than the one listed on the LCA, your employer generally needs to file a new LCA covering that worksite and potentially an amended H-1B petition. Short-term travel and temporary assignments follow different rules, but permanent or long-term remote arrangements in a different location require updated filings to stay compliant.
See which Senior Software Engineering employers are hiring and sponsoring visas right now.
Search Senior Software Engineering Jobs