Engineering Jobs at Microsoft with Visa Sponsorship
Engineering jobs at Microsoft span software, hardware, cloud infrastructure, and AI research, offering roles from individual contributor to principal levels. The company has a well-established process for sponsoring work visas across multiple categories, making it one of the more accessible Technology & Software employers for international Engineering candidates.
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Microsoft Research (MSR) is working to transform the future of artificial intelligence (AI) by bridging the gap between cutting-edge general AI and the specialized, real-world applications that drive meaningful impact. To pursue this mission, we're building world-class AI infrastructure that not only powers our models on large Graphics Processing Unit (GPU) clusters, but also accelerates our research lifecycle through agentic development.
Our team has a global scope, powering the work of every Microsoft Research lab around the world. We're looking for a Senior Principal Engineering Manager to lead and grow our team that builds one of the world's largest research GPU clusters.
This is a transformational leadership opportunity. You will grow a talented team of engineers and evolve it into a cohesive, high-performing organization that designs, builds, and operates world-class research compute infrastructure at scale. You will set the vision for how the team works, grows, and delivers, while driving the execution rigor needed to ship complex infrastructure reliably in a highly dynamic environment.
If you're passionate about leading teams at the frontier of AI infrastructure and want to shape the future of how research compute is built and operated, we invite you to explore this opportunity.
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
- Lead, mentor, and grow the engineering team that builds MSR’s AI research infrastructure.
- Recruit and develop exceptional engineering talent, building a diverse team - including hiring, onboarding, career development, and performance management.
- Drive execution across the team by setting clear goals, tracking milestones, managing dependencies, and ensuring accountability for delivering complex infrastructure projects on time and at high quality.
- Lead team culture and process changes, cultivating an AI-first mentality that accelerates our progress through agentic coding, automation, and skills development.
- Provide technical vision and judgment on the team's architecture, strategy, and roadmap — spanning supercomputer GPU clusters, high performance networking, workload optimization, researcher tools, and agentic workflows — while empowering engineers to own deep technical details.
- Collaborate closely cross-discipline with engineers, program managers, and research and science teams to align priorities, resolve dependencies, and build better solutions together.
- Foster a team culture of operational excellence, continuous improvement, and high psychological safety where engineers are empowered to take ownership and innovate.
Qualifications
Required Qualifications
- 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, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Preferred Qualifications
- 5+ years of people management experience leading software engineering teams, including managing principal engineers.
- Experience building or operating infrastructure for large-scale distributed systems, cloud platforms, or artificial intelligence (AI)/machine learning (ML) workloads.
- Track record of driving execution on complex, multi-workstream infrastructure projects with clear milestones and accountability.
- Technical fluency in one or more of: large-scale compute clusters, GPU infrastructure, scheduling and orchestration (Kubernetes, Volcano), or High-Performance Compute (HPC) environments.
- Experience with GPU programming (CUDA, NCCL) and frameworks such as PyTorch.
- Expertise in networking (InfiniBand, NVLink), storage systems, or distributed training parallelisms.
- A track record of strong cross-functional partnerships, including the ability to align on strategic direction, deliver joint accountabilities, and develop relationships with staff members with widely varied expertise.
- Experience scaling engineering teams through significant growth phases (hiring, onboarding, and integrating new engineers into a high-performing team).
- Master's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Compensation
- The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 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 $220,800 - $331,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
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 working to transform the future of artificial intelligence (AI) by bridging the gap between cutting-edge general AI and the specialized, real-world applications that drive meaningful impact. To pursue this mission, we're building world-class AI infrastructure that not only powers our models on large Graphics Processing Unit (GPU) clusters, but also accelerates our research lifecycle through agentic development.
Our team has a global scope, powering the work of every Microsoft Research lab around the world. We're looking for a Senior Principal Engineering Manager to lead and grow our team that builds one of the world's largest research GPU clusters.
This is a transformational leadership opportunity. You will grow a talented team of engineers and evolve it into a cohesive, high-performing organization that designs, builds, and operates world-class research compute infrastructure at scale. You will set the vision for how the team works, grows, and delivers, while driving the execution rigor needed to ship complex infrastructure reliably in a highly dynamic environment.
If you're passionate about leading teams at the frontier of AI infrastructure and want to shape the future of how research compute is built and operated, we invite you to explore this opportunity.
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
- Lead, mentor, and grow the engineering team that builds MSR’s AI research infrastructure.
- Recruit and develop exceptional engineering talent, building a diverse team - including hiring, onboarding, career development, and performance management.
- Drive execution across the team by setting clear goals, tracking milestones, managing dependencies, and ensuring accountability for delivering complex infrastructure projects on time and at high quality.
- Lead team culture and process changes, cultivating an AI-first mentality that accelerates our progress through agentic coding, automation, and skills development.
- Provide technical vision and judgment on the team's architecture, strategy, and roadmap — spanning supercomputer GPU clusters, high performance networking, workload optimization, researcher tools, and agentic workflows — while empowering engineers to own deep technical details.
- Collaborate closely cross-discipline with engineers, program managers, and research and science teams to align priorities, resolve dependencies, and build better solutions together.
- Foster a team culture of operational excellence, continuous improvement, and high psychological safety where engineers are empowered to take ownership and innovate.
Qualifications
Required Qualifications
- 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, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Preferred Qualifications
- 5+ years of people management experience leading software engineering teams, including managing principal engineers.
- Experience building or operating infrastructure for large-scale distributed systems, cloud platforms, or artificial intelligence (AI)/machine learning (ML) workloads.
- Track record of driving execution on complex, multi-workstream infrastructure projects with clear milestones and accountability.
- Technical fluency in one or more of: large-scale compute clusters, GPU infrastructure, scheduling and orchestration (Kubernetes, Volcano), or High-Performance Compute (HPC) environments.
- Experience with GPU programming (CUDA, NCCL) and frameworks such as PyTorch.
- Expertise in networking (InfiniBand, NVLink), storage systems, or distributed training parallelisms.
- A track record of strong cross-functional partnerships, including the ability to align on strategic direction, deliver joint accountabilities, and develop relationships with staff members with widely varied expertise.
- Experience scaling engineering teams through significant growth phases (hiring, onboarding, and integrating new engineers into a high-performing team).
- Master's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
Compensation
- The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 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 $220,800 - $331,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
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 Engineering Jobs at Microsoft
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Engineering Jobs at Microsoft.
Get Access To All JobsTips for Finding Engineering Jobs at Microsoft
Align your degree field to the role
Microsoft's Engineering roles require a degree in a directly related field like computer science, electrical engineering, or software engineering. A general business or unrelated STEM degree won't satisfy specialty occupation requirements, even with strong work experience.
Target teams hiring outside H-1B cap season
Cap-exempt petitions filed through Microsoft's research divisions or university partnerships can bypass the H-1B lottery entirely. If you're finishing a U.S. graduate program, explore Microsoft Research or campus-hire pipelines that may qualify for cap-exempt filing.
Search Microsoft Engineering openings on Migrate Mate
Filter by visa type and Engineering function on Migrate Mate to identify active Microsoft roles that match your sponsorship eligibility. This saves time compared to manually screening postings that may not clarify sponsorship availability upfront.
Prepare for a multi-round technical interview process
Microsoft's Engineering interviews typically involve four to six rounds, including system design and coding assessments. Have your LeetCode fundamentals and distributed systems knowledge solid before your recruiter screen, as the technical bar is consistent across teams.
Understand when your employer files the LCA
Before USCIS can receive your H-1B petition, Microsoft must get a certified Labor Condition Application from DOL. This step alone can take one to three weeks, so factor it into your start-date expectations when negotiating your offer timeline.
Negotiate your start date around H-1B transfer timing
If you're already in H-1B status with another employer, you can begin working at Microsoft once USCIS receives the transfer petition, not after approval. Confirm portability eligibility with Microsoft's immigration team before giving notice to your current employer.
Frequently Asked Questions
Does Microsoft sponsor H-1B visas for Engineers?
Yes, Microsoft sponsors H-1B visas for qualifying Engineering roles. The process involves Microsoft filing a Labor Condition Application with DOL before submitting the H-1B petition to USCIS. For new applicants without existing H-1B status, this is subject to the annual cap and lottery, typically opening in March for an October 1 start date.
How do I apply for Engineering jobs at Microsoft?
Applications go through Microsoft's careers portal, but identifying which postings are actively sponsoring visas takes extra legwork. Migrate Mate lets you browse Microsoft Engineering roles filtered by visa type, so you can focus on positions where sponsorship is available before investing time in the application process.
Which visa types does Microsoft commonly sponsor for Engineering roles?
Microsoft sponsors H-1B visas for the broad Engineering population, and also files E-3 visa petitions for Australian citizens and H-1B1 visa petitions for Chilean and Singaporean nationals. For senior or highly specialized Engineering candidates, Microsoft also pursues O-1 visa and employment-based Green Card pathways including EB-2 and EB-3 categories.
What qualifications does Microsoft expect for sponsored Engineering roles?
Most sponsored Engineering positions require a bachelor's degree or higher in computer science, software engineering, electrical engineering, or a closely related technical field. For H-1B specialty occupation purposes, the degree must align directly with the role's duties. Advanced degrees strengthen both immigration filings and candidacy for senior-level positions across Microsoft's product and infrastructure teams.
How do I time my Microsoft Engineering offer around visa processing?
If you need H-1B cap sponsorship, the practical window is applying in early spring for an October 1 start, meaning your offer and onboarding need to align with that cycle. Premium processing through USCIS can reduce adjudication to 15 business days, which helps when start dates are time-sensitive. Coordinate closely with Microsoft's immigration team once you receive an offer.