Technical Program Manager -Local AI Agents

NVIDIA
Santa Clara, Redmond
Workplace: OnsiteFull timeUSD 168,000 - 322,000 annuallyFunction: Program & Project Management (PMO)Experience: 8+ yearsEducation: bachelorsSkills: ["Communication","Program management","Cross-functional coordination","Data-driven decision making","Architecture/risk communication"]

Lead multi-functional programs to deliver local and hybrid AI agent capabilities, owning the roadmap from prototype through release. Coordinate engineering, research, product, security, and developer relations to translate product goals and ecosystem signals into plans for agent frameworks, MCP/tool connections, memory/skills, local inference, and Windows integration. Define evaluation gates, measure performance and reliability, and drive adoption through onboarding, documentation, samples, and compatibility improvements across NVIDIA systems.

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FursaFursa
NVIDIA
NVIDIA
2 days ago

Technical Program Manager -Local AI Agents

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Lead multi-functional programs to deliver local and hybrid AI agent capabilities, owning the roadmap from prototype through release. Coordinate engineering, research, product, security, and developer relations to translate product goals and ecosystem signals into plans for agent frameworks, MCP/tool connections, memory/skills, local inference, and Windows integration. Define evaluation gates, measure performance and reliability, and drive adoption through onboarding, documentation, samples, and compatibility improvements across NVIDIA systems.
Location: Santa Clara, Redmond
Workplace: Onsite
Employment Type: Full time
Job Function: Program & Project Management (PMO)
Seniority: Mid level

Key Responsibilities

  • •Own the coordinated roadmap for local AI agent capabilities from prototype through release, including scope, achievements, owners, dependencies, and completion criteria.
  • •Translate product goals and ecosystem signals into harmonized plans for agent frameworks, MCP/tool connections, memory and skills, computer use, local inference, model routing, and application integration.
  • •Partner with engineering and research to define evaluation and release gates for task success, latency, efficiency, memory use, power, reliability, setup time, privacy, and user trust.
  • •Coordinate programs across Windows platform groups, GPU and driver groups, model and runtime groups, product security, developer relations, Microsoft, OEMs, ISVs, and open-source communities.
  • •Build dashboards and decision forums to surface program health, technical tradeoffs, risks, and evidence; communicate status to engineers and senior leaders.

Pay and Benefits

Salary: USD 168,000 - 322,000 annually
Equity and Bonus:Equity

Key Requirements

  • •Bachelor's degree in Computer Science, Computer Engineering, or related field, or equivalent practical experience.
  • •8+ years leading complex software, platform, systems, or AI/ML programs from concept through production release.
  • •Technical proficiency in AI software stacks including model prediction, agent coordination, tool application, evaluation, and local or hybrid deployment.
  • •Experience building coordinated plans across multiple engineering organizations and resolving technical dependencies without direct authority.
  • •Experience defining measurable quality and release criteria using data to make tradeoffs, clearly separating prototypes from validated capabilities.
Experience:8+ yearsAI/MLPlatformSystemsSoftware engineeringDeveloper tools
Education:Bachelor's in Computer Science, Computer Engineering, or a related field
Skills:CommunicationProgram managementCross-functional coordinationData-driven decision makingArchitecture/risk communication
Tech Stack:PythonC++OpenClawHermesLangChainMCPTensorRT-LLMOllamaLlama.cppVLLMPyTorchONNX RuntimeWindows MLCUDAGPU accelerationCUDA or GPU accelerationSandboxingPolicy controlsPrivacy-aware networking

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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