Green Card Cluster Manager Jobs
Cluster Manager green card sponsorship follows the EB-2 or EB-3 pathway, requiring PERM labor certification before your employer files an I-140 immigrant petition with USCIS. Operations and logistics management roles commonly qualify under the professional worker categories, though per-country priority date backlogs mean your timeline depends on your nationality.
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Get Access To All JobsINTRODUCTION
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in an inclusive, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA is reshaping accelerated computing and AI infrastructure with advancements in GPUs, networking, software, and large-scale datacenter platforms. We seek a senior engineering manager to support our internal engineers in adopting next-generation AI/HPC clusters as they transition from initial setup to wider usage.
ROLE AND RESPONSIBILITIES
Within Applied Systems Engineering, you will be responsible for cluster engineering support by growing the engineering community, creating hands-on training, and handling requests from engineering users and supporting teams. You will set up clear processes for intake, prioritization, ownership, and communication for requests. These will include onboarding, workload help, and access to experts for in-depth debugging. Your knowledge of large-scale infrastructure will enable you to identify needs, coordinate resources, and ensure progress on requests.
You will partner with architecture, bringup, software, firmware, networking, storage, datacenter operations, performance, and program teams. The ideal candidate brings engineering leadership and operational experience in Linux-based HPC/AI environments. They excel at developing people, managing competing requests, and converting technical knowledge into effective training and support.
What you'll be doing:
- Lead and grow a team dedicated to cluster engineering support, community involvement, training, and managing engineering requests.
- Develop a connected internal engineering community through onboarding, office hours, technical workshops, and knowledge sharing that help users work effectively on evolving AI/HPC platforms.
- Create practical training and documentation for cluster access, workload submission, GPU resource scheduling, shared storage, operational procedures, and submitting actionable support requests.
- Own the request intake and prioritization process: clarify the need, capture impact and priorities, identify dependencies, and maintain a transparent queue aligned with engineering achievements and available capacity.
- Coordinate requests that require specialist investigation, including deep-debug support. Connect requesters with the appropriate technical owners, agree on next steps, track progress, and bring up stalled requests.
- Partner with cluster operations and engineering teams on access, allocations, maintenance communications, and resource needs so users can plan and complete their work.
- Turn recurring questions, request patterns, and specialist findings into reusable guidance, training, and proposals for self-service tools or workflow improvements.
- Use request volume, response time, aging, completion trends, training participation, and user feedback to improve support quality and communicate priorities and capacity needs.
BASIC QUALIFICATIONS
- BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Applied Science, or equivalent practical experience.
- 8+ years of experience in high-performance computing, AI infrastructure, datacenter systems, production engineering, or large-scale Linux environments.
- 5+ years of technical leadership or engineering management experience, including mentoring engineers, setting priorities, and delivering across organizational boundaries.
- Practical understanding of Linux clusters, GPU workload scheduling, cluster management, networking, servers, and large-scale shared storage, with the ability to understand technical requests and engage the right specialists.
- Experience coordinating engineering requests, support queues, or operational workflows, including prioritization, ownership, managing blocking issues, and communication through completion.
- Ability to translate complex infrastructure concepts into clear documentation, training, and guidance for engineers with different levels of experience.
- Strong collaboration and communication skills, with sound judgment when balancing user needs, engineering priorities, and resource constraints in an evolving hardware and software environment.
PREFERRED QUALIFICATIONS
- Experience designing or operating large HPC/AI clusters and supporting the engineers who depend on them, especially during early hardware, firmware, or software lifecycle phases.
- Experience with cluster management platforms and workload schedulers, GPU resource allocation, and large or petabyte-scale filesystems.
- Established success in forming engineering communities, induction programs, technical workshops, or peer learning activities that increase user self-sufficiency and performance.
- Experience improving request workflows across compute, networking, storage, and software teams, with clear handoffs, shared priorities, and measurable service improvements.
- Proven experience in developing inclusive teams that foster ownership, knowledge transfer, thoughtful decision-making, and career growth.
COMPENSATION
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD for Level 4, and 320,000 USD - 488,750 USD for Level 5. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 31, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
INTRODUCTION
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.
Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in an inclusive, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
NVIDIA is reshaping accelerated computing and AI infrastructure with advancements in GPUs, networking, software, and large-scale datacenter platforms. We seek a senior engineering manager to support our internal engineers in adopting next-generation AI/HPC clusters as they transition from initial setup to wider usage.
ROLE AND RESPONSIBILITIES
Within Applied Systems Engineering, you will be responsible for cluster engineering support by growing the engineering community, creating hands-on training, and handling requests from engineering users and supporting teams. You will set up clear processes for intake, prioritization, ownership, and communication for requests. These will include onboarding, workload help, and access to experts for in-depth debugging. Your knowledge of large-scale infrastructure will enable you to identify needs, coordinate resources, and ensure progress on requests.
You will partner with architecture, bringup, software, firmware, networking, storage, datacenter operations, performance, and program teams. The ideal candidate brings engineering leadership and operational experience in Linux-based HPC/AI environments. They excel at developing people, managing competing requests, and converting technical knowledge into effective training and support.
What you'll be doing:
- Lead and grow a team dedicated to cluster engineering support, community involvement, training, and managing engineering requests.
- Develop a connected internal engineering community through onboarding, office hours, technical workshops, and knowledge sharing that help users work effectively on evolving AI/HPC platforms.
- Create practical training and documentation for cluster access, workload submission, GPU resource scheduling, shared storage, operational procedures, and submitting actionable support requests.
- Own the request intake and prioritization process: clarify the need, capture impact and priorities, identify dependencies, and maintain a transparent queue aligned with engineering achievements and available capacity.
- Coordinate requests that require specialist investigation, including deep-debug support. Connect requesters with the appropriate technical owners, agree on next steps, track progress, and bring up stalled requests.
- Partner with cluster operations and engineering teams on access, allocations, maintenance communications, and resource needs so users can plan and complete their work.
- Turn recurring questions, request patterns, and specialist findings into reusable guidance, training, and proposals for self-service tools or workflow improvements.
- Use request volume, response time, aging, completion trends, training participation, and user feedback to improve support quality and communicate priorities and capacity needs.
BASIC QUALIFICATIONS
- BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Applied Science, or equivalent practical experience.
- 8+ years of experience in high-performance computing, AI infrastructure, datacenter systems, production engineering, or large-scale Linux environments.
- 5+ years of technical leadership or engineering management experience, including mentoring engineers, setting priorities, and delivering across organizational boundaries.
- Practical understanding of Linux clusters, GPU workload scheduling, cluster management, networking, servers, and large-scale shared storage, with the ability to understand technical requests and engage the right specialists.
- Experience coordinating engineering requests, support queues, or operational workflows, including prioritization, ownership, managing blocking issues, and communication through completion.
- Ability to translate complex infrastructure concepts into clear documentation, training, and guidance for engineers with different levels of experience.
- Strong collaboration and communication skills, with sound judgment when balancing user needs, engineering priorities, and resource constraints in an evolving hardware and software environment.
PREFERRED QUALIFICATIONS
- Experience designing or operating large HPC/AI clusters and supporting the engineers who depend on them, especially during early hardware, firmware, or software lifecycle phases.
- Experience with cluster management platforms and workload schedulers, GPU resource allocation, and large or petabyte-scale filesystems.
- Established success in forming engineering communities, induction programs, technical workshops, or peer learning activities that increase user self-sufficiency and performance.
- Experience improving request workflows across compute, networking, storage, and software teams, with clear handoffs, shared priorities, and measurable service improvements.
- Proven experience in developing inclusive teams that foster ownership, knowledge transfer, thoughtful decision-making, and career growth.
COMPENSATION
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD for Level 4, and 320,000 USD - 488,750 USD for Level 5. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 31, 2026. This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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Get Access To All JobsTips for Finding Green Card Sponsorship as a Cluster Manager
Align your credentials to EB-2 or EB-3
Pull together transcripts, job letters, and performance reviews before you apply. EB-2 requires an advanced degree or a bachelor's plus five years of progressive experience; EB-3 covers a bachelor's or two years of skilled-worker experience. Gaps in documentation slow PERM down significantly.
Use O*NET to frame your occupation accurately
O*NET lists Cluster Manager duties under multi-site operations and logistics management. Employers must describe your actual job duties in the PERM application, so confirming your role maps to the correct SOC code early prevents costly Labor Department corrections later.
Find sponsors through Migrate Mate before applying
Target employers with verified green card sponsorship history by searching Migrate Mate for Cluster Manager roles. Focusing your applications on employers who have completed PERM filings before cuts months off your timeline compared to approaching companies with no prior sponsorship experience.
Verify prevailing wage before negotiating your offer
Your employer must pay at least the DOL prevailing wage for your location and job level, certified through PERM. Run the OFLC Wage Search for your SOC code and metro area so you can confirm any offer clears that floor before accepting and triggering the filing clock.
Understand your priority date and country backlog
USCIS assigns a priority date when your employer files the I-140. If you're a national of India or China, the per-country annual limits can create a multi-year wait before you can file I-485. Check the monthly Visa Bulletin and factor backlog risk into your employment decisions.
Know your AC21 portability rights before changing employers
Once your I-485 has been pending 180 days or more, AC21 job portability lets you move to a new Cluster Manager or similar operations management role without losing your place in line. Confirm the new role is in the same or a similar occupation before making the switch.
Green Card Cluster Manager: Frequently Asked Questions
What green card category covers Cluster Manager roles?
Most Cluster Manager positions qualify under EB-3 for professionals with a bachelor's degree, or under EB-2 if the role requires an advanced degree or a bachelor's degree combined with five years of progressive experience in multi-site operations or logistics management. Your employer's attorney will determine the correct category based on the actual minimum requirements for the position.
How is green card sponsorship different from H-1B for this role?
Green card sponsorship leads to lawful permanent residence, not a temporary work authorization period. The employer must complete PERM labor certification with the Department of Labor, including a prevailing wage determination and a formal recruitment test, before filing an I-140 with USCIS. There is no lottery, but per-country annual limits mean nationals of high-demand countries may wait years before an immigrant visa number becomes available.
How do I find employers who sponsor green cards for Cluster Manager jobs?
Search Migrate Mate for Cluster Manager roles filtered by employers with verified green card sponsorship history. Focusing on companies that have previously completed PERM filings for similar operations management roles is the most reliable way to avoid employers who express interest in sponsoring but lack the internal HR infrastructure to execute it.
What does the PERM recruitment process mean for my job search timeline?
Before filing your PERM application, your employer must conduct a formal recruitment test to demonstrate that no minimally qualified U.S. worker is available for the role. This includes posting the position, running print and online advertisements, and documenting all applicants. The process typically adds several months before the PERM application even reaches the Department of Labor for review.
Can I change employers after my green card process starts?
Yes, under two distinct rules. If your original employer's I-140 was approved, a new employer can file a fresh I-140 and you can retain your original priority date. Separately, once your I-485 has been pending 180 days or more, AC21 portability lets you move to a new role in the same or a similar occupation without restarting the process from PERM. These two rules apply at different stages and are not interchangeable.