Senior Engineer, Local AI - Agents and Systems

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Santa Clara, CARedmond, WA
Salary: $184,000–$287,500 / yr
Employment: Full-time
Posted: 3 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $197k

This role $236k

$134k most similar roles pay here $304k

This role pays more than 78% of similar roles. Most pay $157,425–$235,750 — the shaded band above. At the midpoint, this role pays about $236k versus about $197k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1047 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 833 roles with salary data.

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At a glance

TL;DR · Senior Engineer, Local AI - Agents and Systems

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As a Senior Engineer, Local AI - Agents and Systems, you will lead technical efforts to develop advanced AI agent frameworks and local runtimes on Windows environments for GeForce RTX GPUs. You will build the technical roadmap to enable self-evolving AI assistants to operate locally while ensuring they function within policy-based privacy and security frameworks regarding filesystem access and network egress. Your daily work involves optimizing agent runtimes, collaborating with internal research teams and the OpenClaw community, and mentoring other engineers. The role requires expertise in Windows OS internals, process isolation, sandboxing, and LLM inference pipelines using tools like Ollama, Llama.cpp, vLLM, CUDA, and TensorRT. You will utilize C++ for performance-critical systems and Python for AI logic while working with frameworks such as OpenClaw, Hermes, and LangChain to solve problems in autonomous agent execution.

What does a Engineer earn in California?

Median $209800 from 87 postings across 24 companies.

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Skills

C++ Python CUDA TensorRT Ollama Llama.cpp vLLM LangChain Windows OS Sandboxing Containerization Virtualization LLM Inference Multi-agent Systems NVIDIA GeForce RTX OpenClaw Hermes

What you'll do

Lead the development of agent frameworks natively on Windows environments.
Build a technical roadmap for deploying autonomous AI assistants on GeForce RTX hardware.
Optimize agent runtimes specifically for Windows and consumer-grade GPUs.
Implement policy-based privacy and security frameworks for filesystem access and network egress.
Develop secure inference routing and sandboxed execution environments for local models.
Integrate open-source AI agents into the desktop ecosystem using local inference pipelines.
Mentor other engineers and establish technical guidelines for AI agent deployment.
Write production-ready code in C++ and Python to support system integration and AI logic.

What we're looking for

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, GPU-accelerated computing, and running local models on consumer-grade hardware.
Practical experience with modern AI orchestration and agentic frameworks.
Proficiency in C++ for performance-critical systems and Python for AI/blueprint logic.
Experience building virtualization, containerization, or robust sandboxing tools natively for the Windows ecosystem.

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