Solutions Architect, Executive Briefing Center

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 124,000 - 241,500 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 2+ yearsEducation: mastersSkills: ["Communication","Presentation","Technical advising","Problem-solving","Project ownership"]

Build and ship end-to-end agentic AI applications for executive-facing use cases, including multi-agent coordination, planning, long-horizon reasoning, and tool use. Develop and code demos used in executive briefings, trade shows, and customer meetings, while partnering with NVIDIA engineering, product, and sales to translate feedback into product insights. Act as a technical advisor and help package agentic AI systems for broader adoption.

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FursaFursa
NVIDIA
NVIDIA
4 days ago

Solutions Architect, Executive Briefing Center

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Last checked: 4 minutes agoStatus: Live

Job Summary

Build and ship end-to-end agentic AI applications for executive-facing use cases, including multi-agent coordination, planning, long-horizon reasoning, and tool use. Develop and code demos used in executive briefings, trade shows, and customer meetings, while partnering with NVIDIA engineering, product, and sales to translate feedback into product insights. Act as a technical advisor and help package agentic AI systems for broader adoption.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Architect, build, and ship end-to-end agentic AI applications, including multi-agent coordination, long-horizon reasoning, planning, and tool use.
  • •Develop and write code for executive briefing demos, and package agentic AI systems used in NVIDIA EBC experiences.
  • •Act as a technical advisor alongside SMEs during executive briefings and support proof-of-concepts with account SAs.
  • •Partner with engineering, product, and sales teams to secure build wins and translate customer feedback into actionable product and roadmap insights.
  • •Create technical collateral, workshops, and developer community content to scale global expertise and adoption.

Pay and Benefits

Salary: USD 124,000 - 241,500 annually
Equity and Bonus:Equity

Key Requirements

  • •BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, AI/ML, or equivalent experience.
  • •2+ years as an ML/Software Engineer or Solutions Architect writing production-level code in Python and/or C/C++ on Linux.
  • •Experience building sophisticated agentic and multi-agent AI systems using orchestration frameworks such as LangGraph, LlamaIndex, CrewAI, LangChain, and OpenAI Agents SDK, including tool-using/routing agents.
  • •Solid background in PyTorch and distributed GPU (post-)training, with ability to prototype scalable GPU-accelerated architectures and optimize inference.
  • •Strong understanding of communicating complex ideas to technical and non-technical audiences, and leading projects end-to-end in a fast-paced environment.
Experience:2+ yearsAgentic AIMulti-agentML/SoftwareDistributed GPULLM
Education:Master's in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, AI/ML
Skills:CommunicationPresentationTechnical advisingProblem-solvingProject ownership
Tech Stack:PythonC/C++LinuxLangGraphLlamaIndexCrewAILangChainOpenAI Agents SDKPyTorchMCPGoogle A2ANVIDIA NIMNeMo FrameworkNeMo RetrieverNeMo Agent ToolkitDynamoTriton Inference ServerTensorRT-LLMAI BlueprintsKubernetes

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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