JobsSenior Engineer - AI Agents and Systems
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Senior Engineer - AI Agents and Systems

NVIDIA

Location

Santa Clara, CA, Redmond, WA

Type

Full-time

Posted

7/7/2026

Compensation

$224,000 - $431,250 per year

Undergraduate with 5+ Years of Experience
Approval 99.2%·Filings 1,781·New hires 873·
👑 Elite Sponsor
·FY 2025

Job description

The Senior Software Engineer role focuses on building and optimizing local runtimes and agent frameworks for autonomous AI on Windows and NVIDIA GeForce RTX GPUs. The position requires a hands-on individual contributor to enhance open-source AI agents, ensuring they run efficiently and securely on consumer PCs. The engineer will work closely with internal teams and the open-source community to create a robust desktop AI operating system. This deeply technical role emphasizes performance optimization, security, and cross-team collaboration.

Requirements

  • 12+ years of relevant professional software engineering experience with a track record of shipping performance-critical systems.
  • BS, MS, or PhD in Computer Science, Computer Engineering, or a related technical field or equivalent experience.
  • Hands-on experience with LLM inference pipelines, GPU-accelerated computing, and running local models on consumer-grade hardware.
  • Practical experience with modern agentic frameworks and a working understanding of multi-agent systems.
  • Strong understanding of Windows OS internals, process isolation, sandboxing technologies, and system-level security.
  • Proficiency in C++, Python, and TypeScript.
  • Ability to translate complex technical decisions into clear documentation and collaborate effectively across diverse engineering teams.

Responsibilities

  • Optimize performance of local LLMs on GeForce RTX hardware and minimize latency and memory footprint using TensorRT and CUDA.
  • Build and optimize agentic harnesses to run natively and reliably on Windows.
  • Implement policy-based privacy and security frameworks for autonomous agents.
  • Integrate agent and inference stacks with NVIDIA's driver and middleware layers to extract maximum performance from RTX GPUs.
  • Partner with internal AI research teams, driver teams, and the open-source community to enhance consumer hardware for local agents.
  • Write reliable, production-ready code and contribute to engineering best practices.

Benefits

  • Employees at NVIDIA are often offered comprehensive, day-one benefits—including medical, dental, and vision coverage with HSA support, life and disability insurance, an Employee Assistance Program, and a 401(k) with auto-enrollment. Many roles also have generous time off and holidays, donation matching (up to $10,000), and a wide menu of extras like FSAs, commuter benefits, legal and identity-theft protection, pet insurance, and wellness discounts. Optional programs can include student-loan and home-purchase support, plus family care resources and expert medical services.

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