Nvidia

Nvidia

Senior Solutions Architect, Gen AI

US, CA, Remote · Senior

Sponsorship not specifiedDetected 5 days ago
Full-Stack DevelopmentGitAWSGCPAzureDockerKubernetesLinuxDevOpsTensorFlowPyTorchNLPLLMsAgentic AILangGraphProduct StrategyCommunicationMentoringPublic 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

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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 follow-through: 95%

Of 584 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

  • Enable development and growth of NVIDIA product features through customer feedback and POC evaluations.
  • What We Need To See: Master's or Ph.D. in Computer Science, Artificial Intelligence, or equivalent experience.
  • 8+ years of hands-on experience in a technical AI role, with a strong emphasis on Gen AI.

Responsibilities

  • Provide hands-on technical mentorship to partners and customers on Nvidia GenAI stack.
  • Build demonstrations and POCs for solutions that address critical business needs of our customers.
  • Help in draft requirements for missing features to unblock progress at customers/partners.
  • Prepare and deliver technical training presentations and workshops.
  • Build collateral (notebook/ blog) applied to the industry use-cases.
  • Partner with NVIDIA engineering, product, sales teams to secure design wins at customers.
  • Proven track record to profile and optimize inference latency and throughput, memory and I/O utilization.

Requirements

  • Experience with basic DevOps tools e.g., Docker, Kubernetes, GitLab, Linux Command Line, Shell, etc.
  • Experience with Agentic AI frameworks, tools, and protocols e.g., LangChain, LangGraph, MCP.

Benefits

  • Guide customers to develope and deploy Agentic AI workflows on our platforms, quantifying the benefits of our accelerated computing software and hardware.

Company info

  • As part of the Hospitality and Travel Solutions Architecture team, we work with some of key hotel and transportation chains to integrate accelerated computing and AI into their stacks.
  • Educate customers on new NVIDIA GenAI technologies and platforms.
  • Ways To Stand Out From The Crowd:
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This listing is sourced directly from Nvidia's careers page and normalized into a canonical job model.