Green Card Technical Pre Sales Jobs
Technical Pre Sales roles qualify for EB-2 and EB-3 green card sponsorship when the position requires a specialized degree in engineering, computer science, or a related technical field. Employers initiate the PERM labor certification process, documenting that no qualified U.S. worker is available before filing your I-140 immigrant petition.
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Microsoft AI is looking for a Member of Technical Staff, Pre-Training Infrastructure, to help build the next wave of capabilities for our personalized AI assistant, Copilot. We’re seeking someone who brings an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The ideal candidate enjoys building world-class consumer experiences and products in a fast-paced environment. You will actively contribute to the development of AI models powering our innovative products. Expect to wear multiple hats and work across engineering, research, and everything in between. Your contributions will span model architecture, data curation, training and inference infrastructure, 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 the training infrastructure that powers frontier-scale models and advances research toward humanist superintelligence. As a Member of Technical Staff, Pre-Training Infrastructure, you will contribute to a fast-moving codebase that enables training at unprecedented scale. This role focuses on building and optimizing the software stack for massive GPU clusters, high-throughput storage systems, and cutting-edge AI research. You will work closely with model scientists to scale up the latest research recipes, implement new forms of distributed training parallelism, and ensure the reliability and performance of thousands of GPUs across our supercomputing fleet. Profiling, benchmarking, debugging, and fine-grained optimization are core to this role, demanding both engineering rigor and creativity. As a contributing member of the core engineering group, you will also bring best practices, drive architectural changes, and influence the roadmap for relevant software and hardware components. Your work will directly impact business goals for 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 part of the team shaping the future of 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
- Design, implement, test, and optimize distributed training infrastructure in Python and C++ for large-scale GPU clusters.
- Profile, benchmark, and debug performance bottlenecks across compute, memory, networking, and storage subsystems.
- Optimize collective communication libraries (e.g., NCCL) for emerging NVLink and InfiniBand topologies.
- Collaborate with hardware teams to optimize for next-generation accelerators (NVIDIA, AMD, and beyond).
- 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 powering our innovative products.
- Find solutions to overcome roadblocks and deliver your work to users quickly and iteratively.
- Enjoy working in a fast-paced, design-driven product development cycle.
- Embody our Culture and Values.
Qualifications
Required/minimum 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 in distributed computing and large-scale systems.
- Experience with GPU programming (CUDA, NCCL) and frameworks such as PyTorch.
- Proven ability to profile, benchmark, and optimize performance-critical systems.
- Experience in leading technical projects and supporting architectural decisions with data.
- Experience building infrastructure for large-scale machine learning or generative AI workloads.
- Experience in networking (InfiniBand, NVLink), storage systems, or distributed training parallelisms.
- Track record of contributing to high-performance computing or large-scale AI infrastructure projects.
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, Pre-Training Infrastructure, to help build the next wave of capabilities for our personalized AI assistant, Copilot. We’re seeking someone who brings an abundance of positive energy, empathy, and kindness to the team every day, in addition to being highly effective. The ideal candidate enjoys building world-class consumer experiences and products in a fast-paced environment. You will actively contribute to the development of AI models powering our innovative products. Expect to wear multiple hats and work across engineering, research, and everything in between. Your contributions will span model architecture, data curation, training and inference infrastructure, 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 the training infrastructure that powers frontier-scale models and advances research toward humanist superintelligence. As a Member of Technical Staff, Pre-Training Infrastructure, you will contribute to a fast-moving codebase that enables training at unprecedented scale. This role focuses on building and optimizing the software stack for massive GPU clusters, high-throughput storage systems, and cutting-edge AI research. You will work closely with model scientists to scale up the latest research recipes, implement new forms of distributed training parallelism, and ensure the reliability and performance of thousands of GPUs across our supercomputing fleet. Profiling, benchmarking, debugging, and fine-grained optimization are core to this role, demanding both engineering rigor and creativity. As a contributing member of the core engineering group, you will also bring best practices, drive architectural changes, and influence the roadmap for relevant software and hardware components. Your work will directly impact business goals for 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 part of the team shaping the future of 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
- Design, implement, test, and optimize distributed training infrastructure in Python and C++ for large-scale GPU clusters.
- Profile, benchmark, and debug performance bottlenecks across compute, memory, networking, and storage subsystems.
- Optimize collective communication libraries (e.g., NCCL) for emerging NVLink and InfiniBand topologies.
- Collaborate with hardware teams to optimize for next-generation accelerators (NVIDIA, AMD, and beyond).
- 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 powering our innovative products.
- Find solutions to overcome roadblocks and deliver your work to users quickly and iteratively.
- Enjoy working in a fast-paced, design-driven product development cycle.
- Embody our Culture and Values.
Qualifications
Required/minimum 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 in distributed computing and large-scale systems.
- Experience with GPU programming (CUDA, NCCL) and frameworks such as PyTorch.
- Proven ability to profile, benchmark, and optimize performance-critical systems.
- Experience in leading technical projects and supporting architectural decisions with data.
- Experience building infrastructure for large-scale machine learning or generative AI workloads.
- Experience in networking (InfiniBand, NVLink), storage systems, or distributed training parallelisms.
- Track record of contributing to high-performance computing or large-scale AI infrastructure projects.
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.
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Get Access To All JobsTips for Finding Green Card Sponsorship in Technical Pre Sales
Document your technical degree field precisely
PERM requires the employer to define a specific minimum qualification. Make sure your degree transcript and credential evaluation explicitly name your field of study, since a generic 'bachelor's in technology' framing weakens the specialty occupation argument for EB-2 eligibility.
Target companies with dedicated solutions engineering teams
Employers who already have structured pre-sales or solutions consulting departments understand the PERM job description requirements for this role. Smaller companies hiring their first pre-sales hire often lack internal immigration infrastructure to support a multi-year green card process.
Search open green card jobs using Migrate Mate
Migrate Mate filters Technical Pre Sales roles specifically by EB-2 and EB-3 sponsorship history, saving you from applying to positions where the employer has never filed PERM. Start your search there before approaching companies cold.
Clarify the job description before PERM filing begins
The DOL locks in your job duties when the employer files the PERM application. If your actual responsibilities span both pre-sales and post-sales support, work with your employer's attorney early to frame the duties narrowly around the technical consulting function that supports the specialty occupation finding.
Check prevailing wage tier before accepting an offer
PERM requires your offered salary to meet the DOL prevailing wage for your specific job zone and location. Run your offer against the OFLC Wage Search using the correct SOC code for technical sales engineers to confirm the employer's offer qualifies before signing.
Understand EB-3 priority dates if EB-2 is unavailable
Some Technical Pre Sales roles with a bachelor's degree requirement only qualify for EB-3, not EB-2. If your country has a priority date backlog, filing as early as possible secures your place in the queue, since USCIS processes I-485 adjustment applications in priority date order.
Green Card Technical Pre Sales: Frequently Asked Questions
Does a Technical Pre Sales role qualify as a specialty occupation for green card purposes?
Yes, when the position genuinely requires a bachelor's degree or higher in a specific technical discipline such as computer science, electrical engineering, or information systems. Roles that accept any degree field or treat the degree as a preference rather than a requirement create problems during PERM and I-140 review. The employer must show the job duties tie directly to the required field of study.
How does the green card process differ from H-1B sponsorship for this role?
H-1B visa is a temporary status requiring renewal, and the annual cap lottery means many candidates never get selected. The EB-2 and EB-3 green card process through PERM has no annual cap on petitions filed, leads to permanent residency rather than a time-limited work authorization, and gives you and your employer a longer-term path. The tradeoff is timeline: PERM, I-140, and adjustment of status together typically take two to four years, depending on your country of birth and visa bulletin priority dates.
Which green card category is more common for Technical Pre Sales professionals, EB-2 or EB-3?
It depends on how the employer defines the minimum educational requirement. If the role requires a master's degree or a bachelor's degree plus progressive specialized experience, EB-2 applies. If a standard four-year bachelor's degree in a technical field is the minimum, EB-3 professional is the correct category. Many pre-sales positions qualify for either category depending on how the PERM job description is written, which is why the employer's immigration attorney should review the job duties before filing.
How do I find Technical Pre Sales employers who actively sponsor green cards?
Migrate Mate aggregates job listings specifically filtered by EB-2 and EB-3 sponsorship activity, so you can identify employers with a real track record of filing PERM applications for technical roles rather than employers who claim they will sponsor but have never done it. This matters for pre-sales roles because green card sponsorship requires a sustained employer commitment across two to four years of active employment.
Can I change jobs after my employer files the PERM but before I get my green card?
If your I-140 has been approved and is more than 180 days old, you may be able to port your priority date to a new employer's petition under AC21 portability rules, provided the new role is in the same or a similar occupational classification. Technical Pre Sales and solutions engineering roles typically fall under the same SOC category, but you should confirm the classification with an immigration attorney before changing employers to avoid losing your place in the priority date queue.