Nvidia
Principal Solutions Architect, NVIDIA Cloud Partners
US, MD, Remote · Principal
Sponsorship not specifiedDetected 3 days ago
PythonAWSGCPAzureCloud PlatformsKubernetesMachine LearningDeep LearningPyTorchLLMsMLOpsProduct StrategyLoad TestingLoad BalancingSASCommunicationCollaborationTime ManagementPublic Speaking
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odds of building a lasting career here
42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Context, not a finding about this posting: of this employer's 399 green-card filings in this occupation, 96% were for a worker who already held the job.
Green-card intent detected
NVIDIA Corporation obtained a prevailing wage determination for Software Developers in Santa Clara, CALIFORNIA on 2026-06-08. No matching green-card filing appears in our data yet. The determination expires in 0 days (2026-09-05), and a green-card filing must follow before then or the employer starts over.+2 more active determinations on file
Green-card follow-through: 92%
Of 382 labor certifications old enough to have been used, 29 expired without the employer filing the next step. Median time from filing to decision: 497 days.97% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.
Files H-1B transfers
620 transfer filings in the last year, covering 1241 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years.
- 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.
Responsibilities
- Collaborate with NVIDIA Cloud Partners to create, implement, and deliver on NVIDIA's innovative hardware and software solutions.
- Partner with SAs, Account Managers, Engineering, Product, and business leaders to align on strategies, assess technical needs, secure business opportunities for NVIDIA.
- Experience crafting and deploying large-scale cluster environments, hands-on experience designing, developing, delivering distributed Cloud architectures.
- Practical expertise fine tuning and deploying models, integrating software application stacks, libraries, and frameworks to drive consumption from GPU platforms.
- NVIDIA is seeking an experienced Solutions Architect to be a trusted technical advisor, bridging design to deployment of large-scale AI / HPC GPU infrastructure.
- Drive outtake and consumption by integrating libraries, frameworks, models, and software applications.
- Deliver GenAI, AI, and ML hardware/software to production with the most consequential customers and partners, supporting partners building next-gen GPU platforms.
- Own end-to-end technology solution integration with strategic customers and offer product strategy recommendations based on feedback.
- Become the primary technical driver for customers during the design, development, construction, integration, and production of GPU Cloud infrastructure and applications throughout the entire customer lifecycle.
- Work closely with customers to build and adopt NVIDIA solutions including PoCs to address critical business needs covering infrastructure, libraries, and applications.
Skills
- Profiles should be comfortable in a dynamic environment with experience in Deep Learning, LLMs, and GPU technologies.
Compensation
- If you're creative and autonomous, we want to hear from you! #NALASAHiring 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.
Benefits
- Strong fundamentals in programming, optimizations and software design, especially in Python and Deep Learning frameworks such as PyTorch and TensorFlow.
Company info
- Motivation and skills to own and drive complex multi-disciplinary technical engagements with customers throughout the full customer lifecycle and cross-functional teams.
Equal opportunity
- NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.
This listing is sourced directly from Nvidia's careers page and normalized into a canonical job model.