NVIDIA

2 months ago

Senior Engineer - AI Agents and Systems

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Lead the design and execution of AI agent frameworks and local runtimes on Windows and NVIDIA GPUs, building an always-on, self-evolving desktop AI operating system. Drive roadmap, optimize runtimes, and collaborate with AI research, driver teams, and open-source communities to deliver secure, high-performance autonomous agents on consumer hardware.

Location: Santa Clara, Redmond

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Act as the lead engineer for developing the agent frameworks natively on Windows environments and shape the technical roadmap to bring always-on, self-evolving AI assistants to GeForce RTX PCs and laptops.
•Lead the engineering efforts to optimize the agent runtimes for Windows, ensuring autonomous agents operate within policy-based privacy and security frameworks (e.g., filesystem access, secure inference routing, network egress).
•Partner closely with internal AI research teams, driver teams, and the OpenClaw community to create an excellent ecosystem for autonomous agents on consumer hardware.
•Foster a collaborative engineering culture by mentoring engineers, establishing best practices for AI agent deployment, and delivering reliable, production-ready code.
•Contribute to open-source collaborations and ensure open-source AI agents run locally, safely, and efficiently on consumer PCs.

Pay and Benefits

Salary: USD 184,000 - 356,500 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•10+ years of relevant professional software engineering experience, with at least 3+ years in Staff, or Lead Architect role.
•BS, MS, or PhD in Computer Science, Computer Engineering, or a related technical 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, Llamacpp, vLLM), GPU-accelerated computing (CUDA, TensorRT), and experience running local models on consumer-grade hardware.
•Practical experience with modern AI orchestration and agentic frameworks (e.g., OpenClaw, Hermes, LangChain) and an understanding of how multi-agent systems plan, act, and use tools.

Experience:10+ yearsWindowsGpuAi agentsLocal runtimes

Education:Bachelor's

Skills:LeadershipMentoringCollaborationProblem-solvingCommunication

Languages:English

Tech Stack:C++PythonCUDATensorRTOllamaLlamacppVLLMOpenClawLangChainHermesWindowsSandboxing

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: 4.3

Website LinkedIn Glassdoor

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NVIDIA

2 months ago

Senior Engineer - AI Agents and Systems

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Santa Clara, Redmond

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Act as the lead engineer for developing the agent frameworks natively on Windows environments and shape the technical roadmap to bring always-on, self-evolving AI assistants to GeForce RTX PCs and laptops.
•Lead the engineering efforts to optimize the agent runtimes for Windows, ensuring autonomous agents operate within policy-based privacy and security frameworks (e.g., filesystem access, secure inference routing, network egress).
•Partner closely with internal AI research teams, driver teams, and the OpenClaw community to create an excellent ecosystem for autonomous agents on consumer hardware.
•Foster a collaborative engineering culture by mentoring engineers, establishing best practices for AI agent deployment, and delivering reliable, production-ready code.
•Contribute to open-source collaborations and ensure open-source AI agents run locally, safely, and efficiently on consumer PCs.

Pay and Benefits

Salary: USD 184,000 - 356,500 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•10+ years of relevant professional software engineering experience, with at least 3+ years in Staff, or Lead Architect role.
•BS, MS, or PhD in Computer Science, Computer Engineering, or a related technical 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, Llamacpp, vLLM), GPU-accelerated computing (CUDA, TensorRT), and experience running local models on consumer-grade hardware.
•Practical experience with modern AI orchestration and agentic frameworks (e.g., OpenClaw, Hermes, LangChain) and an understanding of how multi-agent systems plan, act, and use tools.

Experience:10+ yearsWindowsGpuAi agentsLocal runtimes

Education:Bachelor's

Skills:LeadershipMentoringCollaborationProblem-solvingCommunication

Languages:English

Tech Stack:C++PythonCUDATensorRTOllamaLlamacppVLLMOpenClawLangChainHermesWindowsSandboxing

Company Brief

NVIDIA

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: 4.3

Website LinkedIn Glassdoor