Senior Solutions Engineer Jobs at NVIDIA with Visa Sponsorship
Senior Solutions Engineer jobs at NVIDIA sit at the intersection of deep technical expertise and enterprise-facing consulting, requiring candidates who can bridge GPU architecture and real-world customer outcomes. NVIDIA has a consistent track record of sponsoring work visas for this function, including H-1B visa, E-3 visa, and Green Card pathways.
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Get Access To All JobsINTRODUCTION
Interested in being a part of a team that brings Artificial Intelligence (AI) to some of the biggest customers in the world? NVIDIA is looking for an experienced Solutions Architect to assist customers with adoption of GPU hardware and software as well as building Machine Learning (ML), Deep Learning (DL), Data Analytics and other related topics on various Cloud Computing Platforms. As part of the NVIDIA Solutions Architecture team, you will be the first line of technical expertise between NVIDIA and our customers and will engage developers, researchers, and data scientists with some of NVIDIA's most strategic technology as well as work closely with business and engineering on product strategy. We are looking for a Solutions Architect to help drive end-to-end technology solutions incorporating NVIDIA's full stack of technologies for customers business needs.
ROLE AND RESPONSIBILITIES
What you’ll be doing:
- Working with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies.
- Build and deploy solutions at scale using NVIDIA's AI software on cloud-based GPU platforms.
- Build custom PoCs for solutions that address customer's critical business needs while applying NVIDIA's hardware and software technologies.
- Partner with Sales Account Managers or Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.
- Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.
- Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc.
BASIC QUALIFICATIONS
What we need to see:
- BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
- 4+ years of Solutions Engineering (or similar Sales Engineering roles) experience.
- Established track record of deploying AI/ ML solutions in cloud environments including AWS, GCP, Azure or OCI.
- Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc.
- Effective time management and capable of balancing multiple tasks.
- Ability to communicate ideas clearly through documents, presentation, etc.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- AWS, GCP, Azure or OCI Professional Solution Architect Certifications.
- Hands-on experience with NVIDIA GPUs and SDKs (i.e. CUDA, Triton, TensorRT-LLM, etc.).
- Deep understanding of the full software development lifecycle, including best practices for system design, architectural patterns, and comprehensive testing.
- Solid working knowledge of Python.
- System-level experience, specifically GPU-based systems.
We make extensive use of conferencing tools, but occasional travel is required for local on-site visits to customers and industry events. We are open to remote work locations!
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 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 18, 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
Interested in being a part of a team that brings Artificial Intelligence (AI) to some of the biggest customers in the world? NVIDIA is looking for an experienced Solutions Architect to assist customers with adoption of GPU hardware and software as well as building Machine Learning (ML), Deep Learning (DL), Data Analytics and other related topics on various Cloud Computing Platforms. As part of the NVIDIA Solutions Architecture team, you will be the first line of technical expertise between NVIDIA and our customers and will engage developers, researchers, and data scientists with some of NVIDIA's most strategic technology as well as work closely with business and engineering on product strategy. We are looking for a Solutions Architect to help drive end-to-end technology solutions incorporating NVIDIA's full stack of technologies for customers business needs.
ROLE AND RESPONSIBILITIES
What you’ll be doing:
- Working with Cloud Service Providers to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies.
- Build and deploy solutions at scale using NVIDIA's AI software on cloud-based GPU platforms.
- Build custom PoCs for solutions that address customer's critical business needs while applying NVIDIA's hardware and software technologies.
- Partner with Sales Account Managers or Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.
- Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.
- Prepare and deliver technical content to customers including presentations about purpose-built solutions, workshops about NVIDIA products and solutions, etc.
BASIC QUALIFICATIONS
What we need to see:
- BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.
- 4+ years of Solutions Engineering (or similar Sales Engineering roles) experience.
- Established track record of deploying AI/ ML solutions in cloud environments including AWS, GCP, Azure or OCI.
- Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center deployments, etc.
- Effective time management and capable of balancing multiple tasks.
- Ability to communicate ideas clearly through documents, presentation, etc.
PREFERRED QUALIFICATIONS
Ways to stand out from the crowd:
- AWS, GCP, Azure or OCI Professional Solution Architect Certifications.
- Hands-on experience with NVIDIA GPUs and SDKs (i.e. CUDA, Triton, TensorRT-LLM, etc.).
- Deep understanding of the full software development lifecycle, including best practices for system design, architectural patterns, and comprehensive testing.
- Solid working knowledge of Python.
- System-level experience, specifically GPU-based systems.
We make extensive use of conferencing tools, but occasional travel is required for local on-site visits to customers and industry events. We are open to remote work locations!
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 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 18, 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.
See all 98+ Senior Solutions Engineer Jobs at NVIDIA
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior Solutions Engineer Jobs at NVIDIA.
Get Access To All JobsTips for Finding Senior Solutions Engineer Jobs at NVIDIA
Align your portfolio to NVIDIA's deployment verticals
NVIDIA hires Solutions Engineers who can demonstrate hands-on experience in AI, data center, or autonomous systems workflows. Before applying, build a portfolio that shows customer-facing technical wins in these areas, not just internal engineering projects.
Verify your degree field maps to the role
H-1B specialty occupation requires a degree directly related to the job. For Solutions Engineering at NVIDIA, computer science, electrical engineering, or applied mathematics are the strongest fits. A business or general IT degree alone may create petition risk.
Target NVIDIA's enterprise and partner-facing job postings
NVIDIA posts Solutions Engineer roles across multiple sub-teams, including cloud service providers, automotive OEMs, and healthcare AI. Filter for postings that name your target industry segment so your application lands with the hiring team that actually owns that workflow.
Use Migrate Mate to surface active NVIDIA openings by visa type
NVIDIA's sponsored roles are not always labeled clearly on general job boards. Migrate Mate lets you filter Senior Solutions Engineer postings by visa type, so you can confirm H-1B or E-3 eligibility before investing time in a full application.
Clarify LCA wage tier expectations before negotiating an offer
NVIDIA's LCA filings with DOL lock in a prevailing wage level for your job title and work location. Understand which wage tier applies to Senior Solutions Engineer in your target office before negotiating, because the certified wage sets a floor the employer cannot go below.
Plan around cap season if you need an H-1B transfer or new petition
If you're not already in H-1B status, NVIDIA can only file a new cap-subject petition during the April lottery window with an October 1 start date. Factor this into your job search timeline so you're not waiting six months between offer and authorization.
Frequently Asked Questions
Does NVIDIA sponsor H-1B visas for Senior Solutions Engineers?
Yes, NVIDIA sponsors H-1B visas for Senior Solutions Engineer roles. The process involves NVIDIA filing a Labor Condition Application with the DOL, followed by an I-129 petition with USCIS. Because Solutions Engineering is classified as a specialty occupation requiring a directly related bachelor's degree or higher, it is a strong fit for H-1B eligibility, though approval depends on your specific degree field and job duties.
Which visa types are commonly used for Senior Solutions Engineer roles at NVIDIA?
NVIDIA sponsors H-1B, E-3, and Green Card pathways including EB-2 and EB-3 for Senior Solutions Engineers. Australian citizens can pursue the E-3, which has no lottery and can often move faster than the H-1B. For long-term permanent residence, NVIDIA supports employer-sponsored PERM labor certification, which is typically initiated after an employee has established themselves in the role.
What qualifications and experience are expected for Senior Solutions Engineer roles at NVIDIA?
NVIDIA's Senior Solutions Engineer postings consistently expect a degree in computer science, electrical engineering, or a related technical field, combined with customer-facing experience in enterprise or cloud environments. Familiarity with CUDA, AI frameworks like PyTorch or TensorFlow, or GPU-accelerated workloads is a strong differentiator. Candidates who can demonstrate both deep technical fluency and the ability to communicate solutions to non-engineering stakeholders are prioritized.
How do I apply for Senior Solutions Engineer jobs at NVIDIA?
You can browse and apply for Senior Solutions Engineer roles at NVIDIA through Migrate Mate, which filters postings by visa sponsorship type so you can confirm eligibility before applying. When applying directly, tailor your resume to the specific industry vertical listed in the posting, whether that's cloud, automotive, or healthcare AI, since NVIDIA's Solutions Engineering teams are organized by customer segment and hiring managers look for domain alignment.
How do I plan my timeline when pursuing an H-1B sponsored role at NVIDIA?
If you need a new H-1B rather than a transfer, USCIS opens the registration window in March each year for an October 1 start date. That means an offer accepted in early spring may not translate to authorized employment until fall. Build this window into your conversations with NVIDIA's recruiting team early, and ask whether your start date can be structured around the cap timeline or whether an alternative visa like E-3 applies to your situation.