Engineering Program Manager Jobs at Microsoft with Visa Sponsorship
Engineering Program Manager jobs at Microsoft sit at the intersection of technical execution and cross-team coordination, driving large-scale engineering initiatives across cloud, AI, and platform products. Microsoft has a strong track record of sponsoring international talent for this function across multiple visa categories.
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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 Program Manager Jobs at Microsoft
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Engineering Program Manager Jobs at Microsoft.
Get Access To All JobsTips for Finding Engineering Program Manager Jobs at Microsoft
Align your resume to Microsoft's EPM scope
Microsoft's Engineering Program Managers own end-to-end delivery across complex, multi-team systems. Highlight experience coordinating dependencies at scale, shipping features across distributed engineering orgs, and driving clarity in ambiguous technical environments.
Target Azure and AI org postings first
Microsoft's highest EPM hiring volume sits inside Azure, M365, and AI Platform divisions. Roles in these orgs involve mature sponsorship pipelines and dedicated staffing teams familiar with H-1B and E-3 petition workflows.
Clarify sponsorship type before your final interview
Microsoft sponsors H-1B, E-3, and H-1B1 visas depending on your nationality. Ask your recruiter which petition type applies to you during the offer stage, since the LCA filing timeline with DOL differs across categories.
Time your application around H-1B cap season
If you need a cap-subject H-1B, Microsoft must submit your registration in March for an October 1 start. Applying in Q4 of the prior year gives recruiters enough runway to align headcount approval and initiate the USCIS process.
Validate your credential equivalency early
USCIS requires a specialty occupation determination for EPM roles. If your degree is from outside the U.S., get a credential evaluation from a NACES-approved evaluator before interviews so Microsoft's immigration team can confirm eligibility without delays.
Browse open EPM roles on Migrate Mate
Microsoft posts Engineering Program Manager openings across multiple divisions simultaneously. Use Migrate Mate to filter active roles by visa sponsorship type so you're applying to positions where your specific visa category is already supported.
Frequently Asked Questions
Does Microsoft sponsor H-1B visas for Engineering Program Managers?
Yes, Microsoft sponsors H-1B visas for Engineering Program Manager roles. The process involves Microsoft filing a Labor Condition Application with the DOL, followed by an I-129 petition with USCIS. If you're subject to the H-1B cap, your registration must be submitted in March for an October 1 start date. Microsoft's in-house immigration team manages this process directly.
How do I apply for Engineering Program Manager jobs at Microsoft?
Apply through Microsoft's careers portal or browse open EPM roles filtered by visa sponsorship type on Migrate Mate. Tailor your application to the specific org you're targeting, since EPM responsibilities vary significantly across Azure, M365, and AI divisions. Referrals from current Microsoft employees carry weight and can accelerate recruiter response times considerably.
Which visa types does Microsoft sponsor for Engineering Program Manager roles?
Microsoft sponsors H-1B, E-3 visa, and H-1B1 visas for Engineering Program Manager positions, along with Green Card pathways through EB-2 and EB-3 classifications. Australian citizens are eligible for the E-3 visa, which has no lottery and an annual cap that has never been exhausted. H-1B1 is available to Chilean and Singaporean nationals.
What qualifications does Microsoft expect for Engineering Program Manager roles?
Most Microsoft EPM roles require a bachelor's degree in computer science, engineering, or a related technical field, along with demonstrated experience driving large-scale software delivery. Strong candidates show proficiency with Agile or engineering systems methodologies, cross-functional stakeholder management, and technical depth sufficient to engage directly with software engineering teams on tradeoffs.
How do I understand the visa sponsorship timeline for an EPM offer at Microsoft?
Timeline depends on your visa category and whether you're transferring status or entering from abroad. H-1B transfers can be faster since Microsoft can file immediately. New cap-subject H-1B petitions follow USCIS's October 1 start cycle. E-3 consular processing typically takes two to six weeks after the LCA is certified by DOL. Clarify your specific path with your recruiter at the offer stage.