Senior Engineer, Local AI – Agents and Systems

NVIDIA

. Act as the lead engineer for developing agent frameworks natively on Windows .

Posted 9/29/2026full-timeUnited StatesSenior💰 $184,000 - $356,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing agent frameworks for Windows, with a strong focus on optimizing AI runtimes and ensuring compliance with privacy and security policies. Proficient in leading engineering teams and mentoring peers while delivering production-ready code.

Highest-signal resume keywords

Windows OS InternalsAI Orchestration FrameworksGPU-Accelerated ComputingC++ ProgrammingPython Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI Agent DevelopmentLLM Inference PipelinesVirtualization TechnologiesContainerizationSandboxing TechnologiesProcess IsolationSecure Inference RoutingFilesystem Access ManagementNetwork Egress Management

Soft Skills

MentoringTeam LeadershipCollaboration

Tools & Technologies

CUDATensorRTOpenClawHermesLangChain

Certifications & Qualifications

BS in Computer ScienceMS in Computer EngineeringPhD in Related Technical Field

Industry Keywords

AI AssistantsConsumer HardwareAutonomous AgentsPrivacy FrameworksSecurity Architecture

Tech Stack

Tools & technologies

PythonC++

About the role

Key responsibilities & impact

Act as the lead engineer for developing agent frameworks natively on Windows
Build the technical roadmap for always-on, self-evolving AI assistants on GeForce RTX PCs and laptops
Lead efforts to optimize agent runtimes for Windows
Ensure autonomous agents operate within policy-based privacy and security frameworks
Handle filesystem access, secure inference routing, and network egress
Partner with internal AI research teams, driver teams, and the open-source OpenClaw community
Help ensure consumer hardware provides an excellent ecosystem for autonomous agents
Mentor engineers and establish guidelines for AI agent deployment
Write reliable, production-ready code

Requirements

What you’ll need

10+ years of relevant professional software engineering experience
At least 3+ years in a 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, Llama.cpp, vLLM)
Experience with GPU-accelerated computing (CUDA, TensorRT)
Experience running local models on consumer-grade hardware
Practical experience with modern AI orchestration and agentic frameworks (OpenClaw, Hermes, LangChain)
Understanding of how multi-agent systems plan, act, and use tools
Proficiency in multiple languages, particularly C++ and Python
Experience building virtualization, containerization, or robust sandboxing tools natively for the Windows ecosystem

Benefits

Comp & perks

Highly competitive salaries
Comprehensive benefits package
Equity
Benefits for you and your family