AI Software Developer Jobs at Microsoft with Visa Sponsorship
AI Software Developer jobs at Microsoft focus on applied research, large-scale model development, and integration with products like Azure, Copilot, and GitHub. The company has a strong track record of sponsoring work visas across multiple categories, making it a realistic target for international candidates with the right technical background.
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Do you want to be at the forefront of innovating the latest hardware designs to propel Microsoft’s cloud growth? Are you seeking a unique career opportunity that combines technical capabilities, cross-team collaboration, with business insight and strategy?
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to achieve our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
Join the Systems Planning and Architecture (SPARC) team within Microsoft’s Azure Hardware Systems and Infrastructure (AHSI) organization, the team behind Microsoft’s expanding Cloud Infrastructure and for powering Microsoft’s “Intelligent Cloud” mission. Microsoft delivers more than 200 online services to more than one billion individuals worldwide, and AHSI is the team behind our expanding cloud infrastructure. We deliver the core infrastructure and foundational technologies for Microsoft's cloud businesses including Microsoft Azure, Bing, MSN, Office 365, OneDrive, Skype, Teams and Xbox Live.
As Principal AI Software Architect for Microsoft MAIA accelerators within the SPARC team, you will play a pivotal role in enabling and optimizing machine learning model training workflows on our cutting-edge hardware. Your responsibilities will include bringing up and validating training processes on MAIA accelerators, collaborating with engineering and research teams to understand MAIA accelerator architecture, and enabling training recipes developed for Microsoft’s first-party accelerators. You will utilize your hands-on experience with PyTorch and at least one of Triton or CUDA to ensure efficient and scalable deployment of large models. This role is ideal for candidates who thrive in a dynamic environment and are passionate about advancing AI infrastructure and model performance on next-generation hardware platforms.
Responsibilities
- Leads by example across teams and mentors others to produce extensible, maintainable, well-tested, secure, and performant code used across products that adheres to design specifications.
- Leads efforts to continuously improve code performance, testability, maintainability, effectiveness, and cost, while learning about and accounting for relevant trade-offs.
- Identifies best practices and coding patterns (e.g., leveraging state-of-the-art generative artificial intelligence [GenAI], approaches to source code organization, naming conventions) and provides deep expertise in the coding and validation strategy.
- Creates and applies metrics to drive code quality and stability, appropriate coding patterns, and best practices.
- Identifies and anticipates blockers or unknowns during the development process, escalates them, communicates how they will impact timelines, and then leads efforts to identify and implement strategies and/or opportunities to address them.
- Reviews product code and test code to ensure it meets team standards, contains the correct test coverage, and is appropriate for the product or solution area.
- Brings insight to code reviews to help improve code quality, coaching and providing feedback to develop other engineers' skills.
- Conducts code reviews in a timely fashion that helps accelerate the pace of development on the team. Considers diagnosability, reliability, testability, and maintainability when reviewing code, and understands when code is ready to be shared or delivered.
- Applies and reviews for coding patterns, security risks, compliance issues, and best practices in code reviews, providing feedback on code to drive adherence to best practices.
- Uses automated source code analysis tools that are incorporated into the build/development process.
Qualifications
Required Qualifications
- Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, PyTorch, CUDA/Triton.
Other Requirements:
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
Preferred Qualifications
- Master'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 Bachelor'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 equivalent experience.
- Accelerator architecture
- Mapping of models to accelerators
- Number formats
- AI model architecture
Compensation
- The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 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 $188,000 - $304,200 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
Do you want to be at the forefront of innovating the latest hardware designs to propel Microsoft’s cloud growth? Are you seeking a unique career opportunity that combines technical capabilities, cross-team collaboration, with business insight and strategy?
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to achieve our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
Join the Systems Planning and Architecture (SPARC) team within Microsoft’s Azure Hardware Systems and Infrastructure (AHSI) organization, the team behind Microsoft’s expanding Cloud Infrastructure and for powering Microsoft’s “Intelligent Cloud” mission. Microsoft delivers more than 200 online services to more than one billion individuals worldwide, and AHSI is the team behind our expanding cloud infrastructure. We deliver the core infrastructure and foundational technologies for Microsoft's cloud businesses including Microsoft Azure, Bing, MSN, Office 365, OneDrive, Skype, Teams and Xbox Live.
As Principal AI Software Architect for Microsoft MAIA accelerators within the SPARC team, you will play a pivotal role in enabling and optimizing machine learning model training workflows on our cutting-edge hardware. Your responsibilities will include bringing up and validating training processes on MAIA accelerators, collaborating with engineering and research teams to understand MAIA accelerator architecture, and enabling training recipes developed for Microsoft’s first-party accelerators. You will utilize your hands-on experience with PyTorch and at least one of Triton or CUDA to ensure efficient and scalable deployment of large models. This role is ideal for candidates who thrive in a dynamic environment and are passionate about advancing AI infrastructure and model performance on next-generation hardware platforms.
Responsibilities
- Leads by example across teams and mentors others to produce extensible, maintainable, well-tested, secure, and performant code used across products that adheres to design specifications.
- Leads efforts to continuously improve code performance, testability, maintainability, effectiveness, and cost, while learning about and accounting for relevant trade-offs.
- Identifies best practices and coding patterns (e.g., leveraging state-of-the-art generative artificial intelligence [GenAI], approaches to source code organization, naming conventions) and provides deep expertise in the coding and validation strategy.
- Creates and applies metrics to drive code quality and stability, appropriate coding patterns, and best practices.
- Identifies and anticipates blockers or unknowns during the development process, escalates them, communicates how they will impact timelines, and then leads efforts to identify and implement strategies and/or opportunities to address them.
- Reviews product code and test code to ensure it meets team standards, contains the correct test coverage, and is appropriate for the product or solution area.
- Brings insight to code reviews to help improve code quality, coaching and providing feedback to develop other engineers' skills.
- Conducts code reviews in a timely fashion that helps accelerate the pace of development on the team. Considers diagnosability, reliability, testability, and maintainability when reviewing code, and understands when code is ready to be shared or delivered.
- Applies and reviews for coding patterns, security risks, compliance issues, and best practices in code reviews, providing feedback on code to drive adherence to best practices.
- Uses automated source code analysis tools that are incorporated into the build/development process.
Qualifications
Required Qualifications
- Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, PyTorch, CUDA/Triton.
Other Requirements:
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
Preferred Qualifications
- Master'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 Bachelor'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 equivalent experience.
- Accelerator architecture
- Mapping of models to accelerators
- Number formats
- AI model architecture
Compensation
- The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 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 $188,000 - $304,200 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 AI Software Developer Jobs at Microsoft
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Software Developer Jobs at Microsoft.
Get Access To All JobsTips for Finding AI Software Developer Jobs at Microsoft
Align your portfolio to Microsoft's AI stack
Microsoft prioritizes experience with Azure ML, PyTorch, and large language model fine-tuning. Before applying, restructure your portfolio projects to reflect these tools directly. Generic AI experience won't stand out in a pipeline built for product-integrated research.
Target teams where E-3 or H-1B1 applies
If you hold Australian citizenship or are from Singapore or Chile, Microsoft regularly sponsors E-3 and H-1B1 visas, which skip the lottery entirely. Identifying roles on these tracks avoids the uncertainty of H-1B cap season and can significantly accelerate your start date.
Prepare your credentials for a specialty occupation determination
USCIS requires that your degree field directly supports the role. For AI Software Developer positions, a degree in computer science, machine learning, or a closely related field strengthens the petition. A general engineering degree without relevant coursework can invite a Request for Evidence.
Time your offer acceptance around H-1B cap deadlines
H-1B registration opens in March for an October 1 start. If you receive an offer outside that window, confirm with your recruiter whether Microsoft will pursue cap-exempt filing or carry your start date to the next fiscal year. Missing this window by even a few weeks matters.
Use Migrate Mate to filter open AI Software Developer roles at Microsoft by visa type
Not every open role at Microsoft is tied to active sponsorship. Migrate Mate lets you filter specifically for AI Software Developer positions where sponsorship has been confirmed, saving you from applying to roles that won't move your visa situation forward.
Verify your I-140 portability window before switching teams
If you're already in the PERM or EB-2 process with another employer and targeting Microsoft, an approved I-140 with a priority date held for 180 days or more can be ported. Confirm the job duties are in the same or similar occupational classification before accepting an offer.
Frequently Asked Questions
Does Microsoft sponsor H-1B visas for AI Software Developers?
Yes, Microsoft sponsors H-1B visas for AI Software Developer roles. Because the H-1B is subject to an annual cap and lottery, your petition would typically be filed in March for an October 1 start date. Microsoft also sponsors H-1B1 visas for eligible nationals from Singapore and Chile, and E-3 visas for Australian citizens, both of which bypass the lottery entirely.
Which visa types does Microsoft commonly use for AI Software Developer roles?
Microsoft sponsors H-1B, E-3, and H-1B1 visas for AI Software Developer positions, along with immigrant pathways including EB-2 and EB-3 for longer-term permanent residency. Candidates with extraordinary ability may also be considered for O-1 visa classification. The right visa depends on your nationality, degree, and where you are in your career.
How do I apply for AI Software Developer jobs at Microsoft?
Applications go through Microsoft's careers portal, where AI Software Developer roles are listed by team and product area. Roles tied to Azure AI, Copilot, and GitHub are the most active hiring areas. Migrate Mate aggregates Microsoft's sponsored AI Software Developer openings so you can filter by visa type before applying, which helps you focus your efforts on roles where sponsorship is confirmed.
What qualifications does Microsoft expect for AI Software Developer roles?
Most AI Software Developer roles at Microsoft require a bachelor's degree or higher in computer science, machine learning, or a related field. Practical experience with large language models, model evaluation, and distributed training frameworks like PyTorch is expected. Senior roles often require demonstrated contributions to production AI systems, and some research-adjacent positions expect published work or equivalent applied research experience.
How do I understand the timeline from offer to visa approval for a Microsoft AI Software Developer role?
For H-1B cap cases, the typical path runs from a March registration through an October 1 start, assuming lottery selection. USCIS standard processing runs three to five months, though Microsoft commonly uses premium processing to compress that to 15 business days. E-3 and H-1B1 visa candidates can move faster since those categories are not subject to the annual lottery and can be filed any time of year.