Engineering Technician Jobs at Microsoft with Visa Sponsorship
Engineering Technician jobs at Microsoft sit at the intersection of hardware, lab operations, and product development, supporting teams across cloud infrastructure, devices, and silicon. Microsoft has a strong track record of sponsoring work visas for technical roles across its U.S. engineering hubs, making it a realistic target for international candidates in this field.
Find Engineering Technician Jobs at MicrosoftOverview
Showing 5 of 5+ Engineering Technician Jobs at Microsoft
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all Engineering Technician Jobs at Microsoft
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Engineering Technician Jobs at Microsoft.
Get Access To All JobsOverview
Microsoft AI is looking for a Member of Technical Staff, Evaluations Engineer to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. You will actively contribute to the development of AI models that are powering our innovative products. You will wear multiple hats and work on engineering, research, and everything in between. Your contributions will span model architecture, data curation, training and inference infrastructures, evaluation protocols, alignment and reinforcement learning from human feedback (RLHF), and many other exciting topics at the cutting edge of AI. Microsoft AI is building foundational models to develop novel responsible and efficient artificial general intelligence. Foundational models demand significant compute capacity, as a Member of Technical Staff, Evaluations Engineer, you will design and build the evaluation infrastructure for generative AI on large-scale GPU clusters. This role involves developing sophisticated tools and techniques to ensure the reliability, performance, and health of hundreds of nodes across supercomputers with thousands of GPUs. You will collaborate closely with model scientists to implement state-of-the-art and novel evaluation methods, inference strategies, and metrics algorithms, enabling smooth and efficient execution of evaluation workloads. As a contributing member of the core group of engineers, you would also bring to the table best practices driving architectural changes and influence roadmap of relevant software and hardware components. Your work will directly impact the business goals of a wide range of users and facilitate the next wave of growth and innovation in AI. Our newly formed organization, Microsoft AI, is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Come be a part of the team shaping the future personal computing. 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 realize 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. Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Develop and tune the pretraining scalable software for Nvidia GB200 72NVL CX8 and AMD MIxxx architectures.
- Benchmark GB200 and AMD MIxxx GPU clusters.
- Gather data and insights to develop the pretraining compute roadmap.
- Care deeply about conversational AI and its deployment.
- Actively contribute to the development of AI models that are powering our innovative products.
- Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
- Enjoy working in a fast-paced, design-driven, product development cycle.
- Embody our Culture and Values.
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++, C#, Java, JavaScript, or Python + OR equivalent experience.
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.
- Experience with generative AI.
- Experience with distributed computing.
- Experience in leading technical projects and supporting architectural decisions with data.
Compensation
Software Engineering IC5 - 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.
Software Engineering IC6 - 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.
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, read more about requesting accommodations.
Overview
Microsoft AI is looking for a Member of Technical Staff, Evaluations Engineer to help build the next wave of capabilities of our personalized AI assistant, Copilot. We’re looking for someone who will bring an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The right candidate enjoys building world-class consumer experiences and products in a fast-paced environment. You will actively contribute to the development of AI models that are powering our innovative products. You will wear multiple hats and work on engineering, research, and everything in between. Your contributions will span model architecture, data curation, training and inference infrastructures, evaluation protocols, alignment and reinforcement learning from human feedback (RLHF), and many other exciting topics at the cutting edge of AI. Microsoft AI is building foundational models to develop novel responsible and efficient artificial general intelligence. Foundational models demand significant compute capacity, as a Member of Technical Staff, Evaluations Engineer, you will design and build the evaluation infrastructure for generative AI on large-scale GPU clusters. This role involves developing sophisticated tools and techniques to ensure the reliability, performance, and health of hundreds of nodes across supercomputers with thousands of GPUs. You will collaborate closely with model scientists to implement state-of-the-art and novel evaluation methods, inference strategies, and metrics algorithms, enabling smooth and efficient execution of evaluation workloads. As a contributing member of the core group of engineers, you would also bring to the table best practices driving architectural changes and influence roadmap of relevant software and hardware components. Your work will directly impact the business goals of a wide range of users and facilitate the next wave of growth and innovation in AI. Our newly formed organization, Microsoft AI, is dedicated to advancing Copilot and other consumer AI products and research. The team is responsible for Copilot, Bing, Edge, and generative AI research. Come be a part of the team shaping the future personal computing. 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 realize 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. Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
- Develop and tune the pretraining scalable software for Nvidia GB200 72NVL CX8 and AMD MIxxx architectures.
- Benchmark GB200 and AMD MIxxx GPU clusters.
- Gather data and insights to develop the pretraining compute roadmap.
- Care deeply about conversational AI and its deployment.
- Actively contribute to the development of AI models that are powering our innovative products.
- Find a path to get things done despite roadblocks to get your work into the hands of users quickly and iteratively.
- Enjoy working in a fast-paced, design-driven, product development cycle.
- Embody our Culture and Values.
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++, C#, Java, JavaScript, or Python + OR equivalent experience.
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.
- Experience with generative AI.
- Experience with distributed computing.
- Experience in leading technical projects and supporting architectural decisions with data.
Compensation
Software Engineering IC5 - 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.
Software Engineering IC6 - 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.
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, read more about requesting accommodations.
Tips for Finding Engineering Technician Jobs at Microsoft
Tailor your resume to lab and hardware experience
Microsoft's Engineering Technician postings frequently emphasize hands-on skills like circuit testing, equipment calibration, and prototype assembly. Align your resume language to match these specifics so your application clears automated screening before a recruiter ever sees it.
Target Microsoft's hardware-heavy campuses strategically
Engineering Technician openings cluster around Redmond, WA and select surface hardware and datacenter teams. Filtering applications by team and location increases your chances of landing in a group with active headcount and a history of sponsoring technical support roles.
Clarify your visa category early in recruiter conversations
Microsoft sponsors H-1B, E-3, and H-1B1 visas for technical roles, but the process differs by category. Ask the recruiter upfront which visa types their legal team routinely handles for Engineering Technicians so you can set accurate timeline expectations before an offer is extended.
Prepare your credentials for a specialty occupation assessment
USCIS requires that H-1B roles qualify as specialty occupations requiring a bachelor's degree or higher in a specific field. For Engineering Technician roles, gather transcripts, certifications, and any evidence that your background directly supports the technical scope of the position.
Find open Engineering Technician roles at Microsoft on Migrate Mate
Searching for visa-friendly openings across a company as large as Microsoft can be overwhelming. Use Migrate Mate to filter Engineering Technician roles at Microsoft by visa type so you're only applying to positions where sponsorship is a realistic outcome.
Understand the LCA filing step before your start date
Before Microsoft can file your H-1B petition with USCIS, the DOL must certify a Labor Condition Application confirming your offered wage meets prevailing wage levels. This step typically takes one to two weeks and must be completed before the I-129 is submitted, so factor it into your negotiated start date.
Frequently Asked Questions
Does Microsoft sponsor H-1B visas for Engineering Technicians?
Yes, Microsoft sponsors H-1B visas for Engineering Technician roles, though the role must qualify as a specialty occupation under USCIS standards. Microsoft's immigration legal team handles the petition process, but you'll need a confirmed offer before sponsorship can begin. The H-1B lottery runs once a year with a registration window in March, so timing your offer relative to that cycle matters.
Which visa types does Microsoft commonly use for Engineering Technician roles?
Microsoft sponsors H-1B, E-3 visa, and H-1B1 visas for Engineering Technician positions depending on your nationality. Australian citizens can pursue the E-3 visa, which has no lottery and processes faster. Chilean and Singaporean nationals may qualify for the H-1B1. All three require an employer-filed petition and a certified Labor Condition Application from the DOL before USCIS can adjudicate the case.
How do I apply for Engineering Technician jobs at Microsoft?
Applications go through Microsoft's careers portal, where Engineering Technician roles are listed by team and location. You can also browse current openings filtered by visa sponsorship on Migrate Mate, which surfaces roles where international candidates have a clear path forward. Tailor your application to emphasize lab operations, hardware testing, or equipment support experience relevant to the specific team posting.
What qualifications does Microsoft expect for Engineering Technician roles?
Most Engineering Technician postings at Microsoft call for an associate's or bachelor's degree in electrical engineering, computer engineering, or a related technical field, combined with hands-on experience in areas like PCB testing, lab equipment operation, or datacenter hardware support. Certifications in relevant tooling or equipment platforms strengthen your candidacy, particularly for roles supporting Microsoft's hardware or silicon teams.
How do I plan my timeline if I'm waiting on H-1B sponsorship at Microsoft?
The H-1B cap-subject process runs on a fixed federal calendar. USCIS opens registration in March, conducts the lottery shortly after, and approved petitions carry an October 1 start date at the earliest. If you're on F-1 OPT, confirm your OPT expiration date against that timeline and ask Microsoft's immigration team whether premium processing is available to reduce petition adjudication from several months to around 15 business days.