NVIDIA H-1B Visa Sponsorship Jobs USA
NVIDIA is a consistent H-1B visa sponsor, particularly for engineering, research, and technical roles across its GPU computing, AI, and semiconductor divisions. Its scale and global reach make it one of the more active technology employers filing H-1B petitions, making it a strong target for skilled international candidates.
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Get Access To All JobsINTRODUCTION
NVIDIA's deep learning platforms are at the forefront of innovation, profoundly impacting various fields and widely adopted by leading academic institutions, startups, and major Internet companies globally. We're seeking an accomplished and highly skilled Technical Program Manager (TPM) to join our NVIDIA DGX Cloud team. This is an exciting opportunity for a passionate, results-oriented, and creative individual to deliver exceptional value to our DGX Cloud customers. We are specifically looking for a TPM with extensive background in cloud infrastructure bring-up with external partners. You will play a key role in collaborating with CSPs, emerging cloud providers and engineering teams internally to help build AI capacity and infrastructure across the globe.
ROLE AND RESPONSIBILITIES
As a DGX Cloud Technical Program Manager, you'll be a key partner to our Engineering, Infrastructure, Software teams and their leadership, driving critical programs related to AI capacity enablement and management. You'll play a pivotal role in developing and maturing foundational capabilities and processes for DGX Cloud, spanning critical areas such as cluster/capacity bring-up including CPU, storage, networking and compute requirements to support GPUs. This is a dynamic, fast-paced environment where TPMs are encouraged to apply fungible abilities to a range of high-impact programs within the DGX Cloud ecosystem.
Your responsibilities will include:
- Working in close coordination with storage engineering and network engineering teams to define and communicate requirements to CSP (Cloud Service Providers) and NCP’s (NVIDIA Cloud Providers). Drive alignment and a POR for capacity blocks based on workload needs.
- Drive early engagement with CSP (Cloud Service Providers) and NCP’s (NVIDIA Cloud Providers) to understand their managed storage, network solutions and influence alignment with NVIDIA Cloud roadmap.
- Gathering technical requirements, developing comprehensive roadmaps, establishing clear milestones, and ensuring adherence to our Product Lifecycle (PLC) process.
- Managing ongoing capacity operations and the engineering engagement with CSP (Cloud Service Providers) and NCP’s (NVIDIA Cloud Provider) partners, collaborating closely with engineering leads. Focus on availability, maintenance and other critical performance indicators.
- Partner closely within NVIDIA to understand workload requirements and related hardware and infrastructure needs. This includes speeds and feeds to optimize infrastructure readiness with cloud vendors and NVIDIA Cloud Providers.
- Leveraging Jira and other program management platforms to instill rigor and structure in the management of engineering deliverables.
- Identifying and driving opportunities to onboard the adoption of third-party and in-house cloud infrastructure solutions for deployments, support, security, compliance and observability across DGX Cloud.
- Establishing key performance indicators (KPIs) and quantitatively demonstrating the value and impact delivered by your programs.
- Proactively identifying, resolving, and mitigating risks and issues that could affect scope, schedule, and quality across all program aspects.
- Encouraging a culture of continuous improvement, consistently seeing opportunities for process improvements within our cloud infrastructure operations.
BASIC QUALIFICATIONS
- 10+ years of technical program management experience. You have driven the planning and execution of large-scale cloud infrastructure programs with outside organizations. You focus strongly on software engineering projects within a matrixed organization.
- Extensive hands-on experience in cloud infrastructure, preferably gained from working at a major Cloud Service Provider (CSP).
- Domain knowledge in the bring-up and end to end operations of compute, storage and GPU (including common failure points at the HW and SW levels).
- Expert-level proficiency with Jira, Smartsheet, or similar program management tools, with the ability to expertly guide engineering teams on their use of the tools.
- Outstanding strategic and tactical thinking abilities, coupled with a strong capacity to build consensus and drive program success.
- Comfort and efficiency in growing within ambiguous environments.
- Possess excellent communication and technical presentation skills, particularly for executive audiences.
- BS or MS in Electrical Engineering or Computer Science, or equivalent experience.
PREFERRED QUALIFICATIONS
- In depth knowledge of NVIDIA GPU products, including deployment and bring-up.
- Working knowledge of various cloud technologies (Kubernetes, API integration, Terraform, etc).
- A highly enthusiastic, energetic, responsive, and passionate individual with a keen eye for identifying process improvement opportunities.
- Significant experience with productivity tools and process automation is a major plus.
- Deep familiarity with cloud-native product/services environments and familiarity with AI, ML infrastructure, and cloud/services.
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 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.
- You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until June 12, 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's deep learning platforms are at the forefront of innovation, profoundly impacting various fields and widely adopted by leading academic institutions, startups, and major Internet companies globally. We're seeking an accomplished and highly skilled Technical Program Manager (TPM) to join our NVIDIA DGX Cloud team. This is an exciting opportunity for a passionate, results-oriented, and creative individual to deliver exceptional value to our DGX Cloud customers. We are specifically looking for a TPM with extensive background in cloud infrastructure bring-up with external partners. You will play a key role in collaborating with CSPs, emerging cloud providers and engineering teams internally to help build AI capacity and infrastructure across the globe.
ROLE AND RESPONSIBILITIES
As a DGX Cloud Technical Program Manager, you'll be a key partner to our Engineering, Infrastructure, Software teams and their leadership, driving critical programs related to AI capacity enablement and management. You'll play a pivotal role in developing and maturing foundational capabilities and processes for DGX Cloud, spanning critical areas such as cluster/capacity bring-up including CPU, storage, networking and compute requirements to support GPUs. This is a dynamic, fast-paced environment where TPMs are encouraged to apply fungible abilities to a range of high-impact programs within the DGX Cloud ecosystem.
Your responsibilities will include:
- Working in close coordination with storage engineering and network engineering teams to define and communicate requirements to CSP (Cloud Service Providers) and NCP’s (NVIDIA Cloud Providers). Drive alignment and a POR for capacity blocks based on workload needs.
- Drive early engagement with CSP (Cloud Service Providers) and NCP’s (NVIDIA Cloud Providers) to understand their managed storage, network solutions and influence alignment with NVIDIA Cloud roadmap.
- Gathering technical requirements, developing comprehensive roadmaps, establishing clear milestones, and ensuring adherence to our Product Lifecycle (PLC) process.
- Managing ongoing capacity operations and the engineering engagement with CSP (Cloud Service Providers) and NCP’s (NVIDIA Cloud Provider) partners, collaborating closely with engineering leads. Focus on availability, maintenance and other critical performance indicators.
- Partner closely within NVIDIA to understand workload requirements and related hardware and infrastructure needs. This includes speeds and feeds to optimize infrastructure readiness with cloud vendors and NVIDIA Cloud Providers.
- Leveraging Jira and other program management platforms to instill rigor and structure in the management of engineering deliverables.
- Identifying and driving opportunities to onboard the adoption of third-party and in-house cloud infrastructure solutions for deployments, support, security, compliance and observability across DGX Cloud.
- Establishing key performance indicators (KPIs) and quantitatively demonstrating the value and impact delivered by your programs.
- Proactively identifying, resolving, and mitigating risks and issues that could affect scope, schedule, and quality across all program aspects.
- Encouraging a culture of continuous improvement, consistently seeing opportunities for process improvements within our cloud infrastructure operations.
BASIC QUALIFICATIONS
- 10+ years of technical program management experience. You have driven the planning and execution of large-scale cloud infrastructure programs with outside organizations. You focus strongly on software engineering projects within a matrixed organization.
- Extensive hands-on experience in cloud infrastructure, preferably gained from working at a major Cloud Service Provider (CSP).
- Domain knowledge in the bring-up and end to end operations of compute, storage and GPU (including common failure points at the HW and SW levels).
- Expert-level proficiency with Jira, Smartsheet, or similar program management tools, with the ability to expertly guide engineering teams on their use of the tools.
- Outstanding strategic and tactical thinking abilities, coupled with a strong capacity to build consensus and drive program success.
- Comfort and efficiency in growing within ambiguous environments.
- Possess excellent communication and technical presentation skills, particularly for executive audiences.
- BS or MS in Electrical Engineering or Computer Science, or equivalent experience.
PREFERRED QUALIFICATIONS
- In depth knowledge of NVIDIA GPU products, including deployment and bring-up.
- Working knowledge of various cloud technologies (Kubernetes, API integration, Terraform, etc).
- A highly enthusiastic, energetic, responsive, and passionate individual with a keen eye for identifying process improvement opportunities.
- Significant experience with productivity tools and process automation is a major plus.
- Deep familiarity with cloud-native product/services environments and familiarity with AI, ML infrastructure, and cloud/services.
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 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.
- You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until June 12, 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 NVIDIA H-1B Jobs
Target NVIDIA's core technical divisions
NVIDIA's H-1B sponsorship is concentrated in engineering, AI research, and hardware design roles. Focus your search on these divisions rather than applying broadly across all departments, where sponsorship is less consistent.
Demonstrate specialty occupation qualifications clearly
H-1B approval requires your role to qualify as a specialty occupation. Tailor your resume to show how your degree directly aligns with the specific technical requirements of the NVIDIA role you're targeting.
Understand NVIDIA's H-1B filing calendar
NVIDIA files cap-subject H-1B petitions for the April lottery. Time your job search and application process so you have an offer before registration opens in March, giving the company time to prepare your petition.
Use verified sponsorship data to find open roles
Not every NVIDIA job listing confirms sponsorship. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history, saving time on roles where H-1B support is uncertain.
Highlight specialized expertise relevant to NVIDIA's consulting work
NVIDIA operates across professional services and consulting contexts. Candidates who demonstrate deep domain expertise in AI infrastructure, GPU workloads, or enterprise solutions are better positioned for H-1B-sponsored positions.
Prepare for a detailed technical interview process
NVIDIA's hiring bar is high for sponsored roles. Expect multiple rounds assessing both technical depth and practical problem-solving. Strong performance here directly influences whether the team is willing to proceed with H-1B sponsorship.
NVIDIA H-1B Visa Sponsorship: Frequently Asked Questions
Does NVIDIA sponsor H-1B visas?
Yes, NVIDIA sponsors H-1B visas for qualifying roles. Sponsorship is most common in engineering, AI research, hardware design, and technical program management. NVIDIA participates in the annual H-1B cap lottery and also files for cap-exempt positions in some contexts. Availability depends on the specific role, department, and hiring manager.
Which roles and departments at NVIDIA typically receive H-1B sponsorship?
H-1B sponsorship at NVIDIA is most consistently offered for roles in GPU architecture, deep learning research, software engineering, VLSI design, and data science. Business, sales, and generalist operations roles are less likely to receive sponsorship, though exceptions exist depending on the candidate's qualifications and the role's specialty occupation classification.
How do I apply for a job at NVIDIA that includes H-1B sponsorship?
Apply directly through NVIDIA's careers portal and indicate your need for sponsorship during the application or early interviews. If you receive an offer, NVIDIA's immigration team works with outside counsel to file your H-1B petition. Migrate Mate can help you identify which open NVIDIA roles have a verified history of H-1B sponsorship before you apply.
How do I know what timeline to expect for H-1B sponsorship at NVIDIA?
Cap-subject H-1B petitions are submitted in April for an October 1 start date. If selected in the lottery, USCIS adjudicates the petition over the following months. NVIDIA typically uses premium processing for sponsored candidates, which speeds up the USCIS decision to around 15 business days. Plan for a roughly six-month gap between lottery registration and your start date.
How do I stand out as an H-1B candidate at NVIDIA?
Focus on demonstrating deep technical specialization in areas directly relevant to NVIDIA's products, such as parallel computing, AI model training, or semiconductor design. A clear connection between your degree and the role strengthens the specialty occupation argument for H-1B approval. Prior publications, patents, or open-source contributions in relevant areas are viewed favorably by NVIDIA's hiring teams.
What is the prevailing wage for H-1B jobs at NVIDIA?
H-1B employers must pay at least the prevailing wage, which is determined when they file the Labor Condition Application with the Department of Labor. The rate is based on the role, location, and experience level, and ensures international hires are paid comparably to U.S. workers in the same position. You can look up prevailing wage rates for any occupation and location using the DOL's OFLC Wage Search tool.