Software Engineer Jobs at Microsoft with Visa Sponsorship
Software Engineer jobs at Microsoft span disciplines including full-stack development, cloud infrastructure, AI, and systems engineering. The company has an established visa sponsorship process for roles in this function, supporting pathways from initial work authorization through long-term permanent residency for qualified candidates.
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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 Software Engineer Jobs at Microsoft
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Software Engineer Jobs at Microsoft.
Get Access To All JobsTips for Finding Software Engineer Jobs at Microsoft
Align your portfolio with Azure-specific domains
Microsoft's engineering teams are organized around Azure, Microsoft 365, and AI platforms. Tailor your GitHub projects and technical portfolio to reflect distributed systems, cloud-native development, or ML infrastructure work before applying.
Target teams with active LCA filings
Search DOL's Labor Condition Application disclosure data for Microsoft to identify which engineering teams and office locations file LCAs most actively. Teams in Redmond, Atlanta, and New York consistently appear, helping you prioritize where to apply.
Prepare your degree equivalency documentation early
Microsoft's H-1B petitions require proving specialty occupation. If your degree is from outside the U.S., get a credential evaluation from a NACES-approved organization before your offer stage so it's ready when USCIS review begins.
Understand Microsoft's cap-exempt filing options
If you've already been counted against the H-1B cap at a previous employer, Microsoft can file a transfer petition outside the annual lottery window. Confirm your prior cap-subject status with your immigration attorney before assuming you need to wait for April.
Browse open Software Engineer roles on Migrate Mate
Filter by visa type and employer to surface Microsoft Software Engineer listings that align with your authorization. Migrate Mate surfaces sponsorship-confirmed roles, so you're not guessing which postings will support H-1B or E-3 petitions.
Negotiate your start date around H-1B timelines
Cap-subject H-1B petitions have an October 1 start date. If Microsoft extends you an offer after April, your earliest authorized start is the following October. Build that into your negotiation so both sides have aligned expectations from the offer stage.
Frequently Asked Questions
Does Microsoft sponsor H-1B visas for Software Engineers?
Yes, Microsoft sponsors H-1B visas for Software Engineers and is one of the most active H-1B petitioners in the technology sector. The company files both cap-subject petitions for new hires entering the lottery and cap-exempt transfer petitions for candidates who have already been counted against the cap at a prior employer. Microsoft also sponsors H-1B1 visa and E-3 visas for eligible nationals.
How do I apply for Software Engineer jobs at Microsoft?
Applications go through Microsoft's careers portal at careers.microsoft.com. Roles are organized by product area, so filtering by engineering discipline and location helps narrow results. You can also browse Software Engineer openings at Microsoft with confirmed visa sponsorship on Migrate Mate, which surfaces roles relevant to your work authorization and filters out positions that don't support petitions.
Which visa types does Microsoft sponsor for Software Engineer roles?
Microsoft sponsors H-1B, H-1B1 visa, and E-3 visas for Software Engineers in nonimmigrant status. For permanent residency, the company sponsors EB-2 and EB-3 Green Card petitions, which typically involve a PERM labor certification filed with the DOL. The visa type used depends on your nationality, your current status, and where you are in the sponsorship process.
What qualifications does Microsoft expect for sponsored Software Engineer roles?
Most Software Engineer roles at Microsoft require a bachelor's degree or higher in computer science, software engineering, or a closely related technical field. This degree requirement is also what satisfies USCIS's specialty occupation standard for H-1B purposes. Practically, Microsoft's interview process emphasizes systems design, data structures, and coding proficiency, with depth expected in the product area the role supports, such as Azure, AI, or developer tooling.
How long does the visa sponsorship process take at Microsoft?
Timeline depends on visa type and your current status. Cap-subject H-1B petitions are filed in April for an October 1 start, so expect a six-month gap between lottery selection and authorized employment. H-1B transfers for cap-exempt candidates can move faster, often within two to three months with USCIS premium processing. Green Card sponsorship through PERM is a multi-year process and typically begins after you've been employed at Microsoft for some time.