Staff Software Engineer Jobs at Microsoft with Visa Sponsorship
Staff Software Engineer jobs at Microsoft sit at the principal-level of the individual contributor track, typically owning complex distributed systems or platform-wide technical direction. Microsoft has a well-established sponsorship process for engineering roles and works with applicants across multiple visa categories to secure long-term work authorization.
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Microsoft Research (MSR) is a multidisciplinary global organization working to create scientific knowledge and deliver innovation that leads to positive human impact at scale. To envision and build the future, we work with our scientific, engineering, academic and business partners to use Machine Learning and Artificial Intelligence (AI) to impact economics, health and society.
The Microsoft Research Americas Engineering team supports several MSR labs (Redmond, New England, New York City, and Montreal) and seeks an innovative and experienced Senior Research Software Engineer on the Agentic Experiences team to drive and contribute to a variety of research projects in various stages of research and productization. You will help deliver quality engineering solutions engaging in AI-native development methods, automation, and agentic workflows to design, build, evaluate, and ship software across Microsoft Research. You will collaborate with other engineers, researchers, and product teams to create innovative vision and drive high quality execution for high-impact and high-scale reach across all of Microsoft’s portfolio, from core models, health, social and economics, coding and development, vision and graphics, systems and networks, and more. You will also be able to contribute to the shape our engineering culture, strategy, and execution, as well as modernize AI engineering practices all in support of accelerating our collective impact across Microsoft Research Americas, Microsoft and beyond.
At Microsoft, our mission—to empower every person and every organization on the planet to achieve more—guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress—people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what’s next for everyone.
Responsibilities
-
Individual Contributor (IC) Development: Independently design and build software using appropriate artificial intelligence (AI) tools, frameworks and practices across the software development lifecycle (SDLC) in a disciplined manner. Apply innovative AI agentic tooling and workflows for efficient code generation, evaluation, debugging, and refinement. Contribute to all layers of code and infrastructure to bring scientific experiments from prototypes to reliable and scalable products ready for adoption across Microsoft.
-
Coding and Design: Owns or collaborates with other engineers on the architecture of solutions, with minimal technical oversight. Applies appropriate coding patterns and best practices (e.g., leveraging state-of-the-art generative artificial intelligence [GenAI], approaches to source code organization, naming conventions). Proactively considers diagnosability, reliability, testability, and maintainability when reviewing code, and understands when code is ready to be shared or delivered.
-
Engineering Excellence: Leads by example within the team to produce extensible, maintainable, well-tested, secure, and performant code that adheres to design specifications. Take responsibility for the content of their AI-generated requirements, design documents, code, and other assets, assisting other members of the team to do the same.
-
Cross-Project Collaboration: Seek connections between MSR projects, design and develop “better together” systems, architectures, and implementations that align key research in support of facilitating new research as well as product transfers. Build partnerships to align engineering efforts with research priorities and Microsoft’s broader innovation agenda.
-
Technical Leadership: Collaborate with MSR Americas engineering leadership to contribute to a cohesive engineering vision. Navigate ambiguity in a dynamic research environment, using tangible intermediate milestones to realize long-term vision.
Qualifications
Required Qualifications
- Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience coding in languages including, but not limited to, Python, Rust, C#, C++, Java, JavaScript OR equivalent experience.
Preferred Qualifications
- Master's Degree and/or PhD in Computer Science or related technical field AND 7+ years technical engineering experience with coding in languages including, but not limited to, Python, Rust, C#, C++, Java, JavaScript
- OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, Python, Rust, C#, C++, Java, JavaScript
- OR equivalent experience.
- 2+ years technical leadership experience, defining milestones and helping an engineering team execute on their deliverables
- Demonstrated experience on an engineering team within a research or innovation setting, with responsibilities spanning prototypes to production.
- Experience with Microsoft AI stack, including but not limited to Azure/AI Platform and Copilot based experiences and tools.
- Experience contributing to or delivering AI powered products at scale
- Experience with early stage or first generation product development
Compensation
- The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.
Overview
Microsoft Research (MSR) is a multidisciplinary global organization working to create scientific knowledge and deliver innovation that leads to positive human impact at scale. To envision and build the future, we work with our scientific, engineering, academic and business partners to use Machine Learning and Artificial Intelligence (AI) to impact economics, health and society.
The Microsoft Research Americas Engineering team supports several MSR labs (Redmond, New England, New York City, and Montreal) and seeks an innovative and experienced Senior Research Software Engineer on the Agentic Experiences team to drive and contribute to a variety of research projects in various stages of research and productization. You will help deliver quality engineering solutions engaging in AI-native development methods, automation, and agentic workflows to design, build, evaluate, and ship software across Microsoft Research. You will collaborate with other engineers, researchers, and product teams to create innovative vision and drive high quality execution for high-impact and high-scale reach across all of Microsoft’s portfolio, from core models, health, social and economics, coding and development, vision and graphics, systems and networks, and more. You will also be able to contribute to the shape our engineering culture, strategy, and execution, as well as modernize AI engineering practices all in support of accelerating our collective impact across Microsoft Research Americas, Microsoft and beyond.
At Microsoft, our mission—to empower every person and every organization on the planet to achieve more—guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress—people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what’s next for everyone.
Responsibilities
-
Individual Contributor (IC) Development: Independently design and build software using appropriate artificial intelligence (AI) tools, frameworks and practices across the software development lifecycle (SDLC) in a disciplined manner. Apply innovative AI agentic tooling and workflows for efficient code generation, evaluation, debugging, and refinement. Contribute to all layers of code and infrastructure to bring scientific experiments from prototypes to reliable and scalable products ready for adoption across Microsoft.
-
Coding and Design: Owns or collaborates with other engineers on the architecture of solutions, with minimal technical oversight. Applies appropriate coding patterns and best practices (e.g., leveraging state-of-the-art generative artificial intelligence [GenAI], approaches to source code organization, naming conventions). Proactively considers diagnosability, reliability, testability, and maintainability when reviewing code, and understands when code is ready to be shared or delivered.
-
Engineering Excellence: Leads by example within the team to produce extensible, maintainable, well-tested, secure, and performant code that adheres to design specifications. Take responsibility for the content of their AI-generated requirements, design documents, code, and other assets, assisting other members of the team to do the same.
-
Cross-Project Collaboration: Seek connections between MSR projects, design and develop “better together” systems, architectures, and implementations that align key research in support of facilitating new research as well as product transfers. Build partnerships to align engineering efforts with research priorities and Microsoft’s broader innovation agenda.
-
Technical Leadership: Collaborate with MSR Americas engineering leadership to contribute to a cohesive engineering vision. Navigate ambiguity in a dynamic research environment, using tangible intermediate milestones to realize long-term vision.
Qualifications
Required Qualifications
- Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience coding in languages including, but not limited to, Python, Rust, C#, C++, Java, JavaScript OR equivalent experience.
Preferred Qualifications
- Master's Degree and/or PhD in Computer Science or related technical field AND 7+ years technical engineering experience with coding in languages including, but not limited to, Python, Rust, C#, C++, Java, JavaScript
- OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, Python, Rust, C#, C++, Java, JavaScript
- OR equivalent experience.
- 2+ years technical leadership experience, defining milestones and helping an engineering team execute on their deliverables
- Demonstrated experience on an engineering team within a research or innovation setting, with responsibilities spanning prototypes to production.
- Experience with Microsoft AI stack, including but not limited to Azure/AI Platform and Copilot based experiences and tools.
- Experience contributing to or delivering AI powered products at scale
- Experience with early stage or first generation product development
Compensation
- The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.
See all Staff Software Engineer Jobs at Microsoft
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Staff Software Engineer Jobs at Microsoft.
Get Access To All JobsTips for Finding Staff Software Engineer Jobs at Microsoft
Align your portfolio to Microsoft's engineering scale
Microsoft evaluates Staff Software Engineers on system design at scale, not just coding ability. Document projects where you owned architecture decisions across large distributed systems. Concrete examples of scope and impact matter more than credentials alone.
Target teams with established sponsorship pipelines
Teams inside Azure, Microsoft 365, and GitHub consistently hire at the Staff level and have well-worn sponsorship workflows. Applying through teams with recurring senior engineering needs reduces the risk of your offer stalling at the approval stage.
Clarify visa type early in recruiter conversations
Microsoft sponsors multiple visa categories for this role, including H-1B, E-3, and H-1B1 visa. If you hold Australian or Chilean or Singaporean citizenship, ask your recruiter explicitly about E-3 or H-1B1 pathways, which bypass the H-1B lottery entirely.
Time your application around H-1B registration windows
If you need H-1B sponsorship, USCIS registration opens each March for an October 1 start date. Microsoft cannot file a cap-subject H-1B outside that window, so plan offer timelines accordingly to avoid a 12-month wait for the next cycle.
Prepare credential documentation before the offer stage
Microsoft's immigration team will need degree certificates, transcripts, and a detailed employment history for the visa petition. Gather official translated copies early. Delays in credential verification are a common reason petitions miss filing deadlines.
Use Migrate Mate to find open Staff Software Engineer roles
Filtering for visa-sponsoring companies at the Staff level takes time manually. Migrate Mate surfaces Microsoft's open Staff Software Engineer positions alongside sponsorship history, so you can prioritize applications where sponsorship is already confirmed for this role.
Frequently Asked Questions
Does Microsoft sponsor H-1B visas for Staff Software Engineers?
Yes, Microsoft sponsors H-1B visas for Staff Software Engineers. The process follows the standard USCIS cap-subject timeline, with registration each March and an October 1 start date. Microsoft works with in-house immigration counsel and external firms to handle petitions, so the process is well-structured once you have an offer in hand.
Which visa types does Microsoft commonly use for Staff Software Engineers?
Microsoft sponsors H-1B visas for most nationalities, but also files E-3 visa petitions for Australian citizens and H-1B1 visa petitions for citizens of Chile and Singapore. Both the E-3 visa and H-1B1 are cap-exempt, meaning they don't require lottery selection and can be filed year-round, which gives those applicants a significant timeline advantage.
What qualifications does Microsoft expect for a Staff Software Engineer?
Microsoft's Staff Software Engineer level generally requires a bachelor's degree in computer science or a related field, plus substantial experience leading technical design across large systems. Interviewers assess system design, cross-team influence, and engineering judgment at scale. A master's or PhD can accelerate level placement but is not required.
How do I apply for Staff Software Engineer jobs at Microsoft?
You can browse open Staff Software Engineer positions on Migrate Mate, which filters for roles where Microsoft is actively sponsoring visas. From there, applications go through Microsoft's careers portal. Tailor your resume to reflect system ownership and cross-functional impact, as those are the signals Microsoft's recruiting team screens for at the Staff level.
How do I understand the timeline from offer to visa approval at Microsoft?
After an offer is signed, Microsoft's immigration team initiates the Labor Condition Application with the DOL, which typically takes seven business days. For H-1B, the full USCIS petition review runs three to five months in standard processing, or two to three weeks with premium processing. E-3 and H-1B1 visa petitions can be filed and approved faster since they aren't lottery-dependent.