Principal Engineer, Local AI - Agents and Systems

NVIDIA
United States
Workplace: OnsiteFull timeUSD 272,000 - 431,250 annuallyFunction: Data Science & Machine LearningExperience: 15+ yearsEducation: bachelorsSkills: ["Mentoring","Collaboration","Writing production-ready code","Establishing guidelines"]

Lead the engineering of local AI agent frameworks on Windows, enabling always-on, self-evolving assistants to run efficiently on GeForce RTX PCs and laptops. Optimize Windows agent runtimes within policy-based privacy and security controls, and work with NVIDIA AI research, driver teams, and the OpenClaw open-source community. Build and deliver production-ready, sandboxed execution for a desktop AI operating system foundation.

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FursaFursa
NVIDIA
NVIDIA
1 month ago

Principal Engineer, Local AI - Agents and Systems

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Lead the engineering of local AI agent frameworks on Windows, enabling always-on, self-evolving assistants to run efficiently on GeForce RTX PCs and laptops. Optimize Windows agent runtimes within policy-based privacy and security controls, and work with NVIDIA AI research, driver teams, and the OpenClaw open-source community. Build and deliver production-ready, sandboxed execution for a desktop AI operating system foundation.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Act as lead engineer for developing agent frameworks natively on Windows, building the technical roadmap for always-on AI assistants on GeForce RTX PCs and laptops.
  • •Optimize Windows agent runtimes so autonomous agents operate within policy-based privacy and security frameworks, including filesystem access, secure inference routing, and network egress.
  • •Partner with internal AI research teams, driver teams, and the OpenClaw community to strengthen the consumer hardware ecosystem for autonomous agents.
  • •Mentor other engineers, establish guidelines for AI agent deployment, and help create reliable, production-ready code.

Pay and Benefits

Salary: USD 272,000 - 431,250 annually
Equity and Bonus:Equity

Key Requirements

  • •15+ years of relevant professional software engineering experience, including 3+ years in Staff or Lead Architect role.
  • •BS, MS, or PhD in Computer Science, Computer Engineering, or related field (or equivalent experience).
  • •Deep understanding of Windows OS internals, process isolation, sandboxing technologies, and system-level security architecture.
  • •Proven understanding of LLM inference pipelines (Ollama, Llama.cpp, vLLM) and GPU-accelerated computing (CUDA, TensorRT) for running local models on consumer hardware.
  • •Experience with AI orchestration and agentic frameworks (e.g., OpenClaw, Hermes, LangChain) and multi-agent planning, acting, and tool use.
Experience:15+ yearsAILLMWindowsGPU-accelerated computingConsumer hardwareOpen source
Education:Bachelor's in Computer Science, Computer Engineering, or a related technical field
Skills:MentoringCollaborationWriting production-ready codeEstablishing guidelines
Tech Stack:WindowsGeForce RTXAI agent frameworksOpenClawNemoclawNemotron modelsOllamaLlama.cppVLLMCUDATensorRTPythonC++HermesLangChainSandboxingProcess isolationVirtualizationContainerization

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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