Engineering Intern Jobs at Microsoft with Visa Sponsorship
Engineering Intern jobs at Microsoft span software engineering, systems design, cloud infrastructure, and AI development. Microsoft has a long-standing track record of sponsoring international talent at the intern level, with structured pathways that carry through to full-time sponsorship for candidates who convert.
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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 Intern Jobs at Microsoft
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Engineering Intern Jobs at Microsoft.
Get Access To All JobsTips for Finding Engineering Intern Jobs at Microsoft
Target teams aligned with your visa category
Microsoft sponsors multiple visa types, so identifying which teams hire for your category matters. E-3 and H-1B1 visa applicants often find faster processing paths than cap-subject H-1B candidates, making team-level targeting worthwhile before you apply.
Build a portfolio around Microsoft's core technologies
Recruiters for Microsoft engineering internships look for hands-on experience with Azure, .NET, TypeScript, or distributed systems. Projects demonstrating those skills signal faster than a degree alone and strengthen your specialty occupation case for the LCA process.
Apply early in Microsoft's recruiting cycle
Microsoft opens engineering intern applications as early as August for the following summer. Applying in the first two weeks meaningfully improves your chances, since sponsorship logistics require lead time and teams fill headcount before the H-1B cap season closes.
Understand how OPT timing intersects with intern start dates
If you're on F-1 OPT, your internship start date must fall within your authorized period. Confirm your I-20 end date and STEM OPT eligibility before accepting an offer, since USCIS requires the employer to be enrolled in E-Verify for STEM OPT extensions.
Clarify sponsorship scope during the offer stage
Ask Microsoft's recruiting team directly whether the intern role includes sponsorship for full-time conversion and which visa categories are covered. Knowing this before signing lets you plan your status timeline accurately rather than discovering gaps post-acceptance.
Use Migrate Mate to filter open intern roles by visa type
Microsoft posts engineering intern roles across multiple business units simultaneously. Use Migrate Mate to filter positions by the visa types Microsoft sponsors, so you're applying to roles where your specific sponsorship need is already confirmed.
Frequently Asked Questions
Does Microsoft sponsor H-1B visas for Engineering Interns?
Yes, Microsoft sponsors H-1B visas for engineering roles, including interns who convert to full-time positions. For the intern period itself, most international students work on F-1 OPT or CPT, since H-1B visa sponsorship typically applies at the full-time offer stage. Microsoft also sponsors E-3 visa and H-1B1 visas for eligible Australian and Chilean or Singaporean nationals respectively.
How do I apply for Engineering Intern jobs at Microsoft?
Applications go through Microsoft's careers portal, where engineering intern roles are posted starting in late summer for the following year's cohort. Positions are listed by product area, so filtering by team, such as Azure, Microsoft 365, or AI Platform, helps you target roles that match your technical background. You can also browse verified open roles on Migrate Mate filtered by sponsorship type.
Which visa types does Microsoft commonly use for Engineering Intern roles?
Most engineering interns at Microsoft work under F-1 CPT during their program or F-1 OPT after graduation. For full-time conversion, Microsoft sponsors H-1B, E-3 for Australian citizens, and H-1B1 visa for Chilean and Singaporean nationals. Longer-term, Microsoft files EB-2 and EB-3 immigrant petitions for employees pursuing permanent residence.
What qualifications does Microsoft expect for Engineering Intern candidates?
Microsoft targets candidates pursuing a bachelor's or master's degree in computer science, software engineering, or a closely related field. Practical coding proficiency in at least one system-level or applications language is expected, and interview loops typically include data structures, algorithms, and system design components. Relevant project experience, open-source contributions, or prior internships in cloud or enterprise software strengthen your application significantly.
How do I plan my visa timeline around a Microsoft engineering internship?
If you're on F-1 status, confirm your CPT or OPT authorization window aligns with the internship dates before accepting an offer. For STEM OPT extensions, Microsoft must be enrolled in E-Verify, which it is. If you receive a full-time return offer and need H-1B sponsorship, Microsoft typically files in March for an October 1 start, so your OPT must cover the gap between graduation and that date.