NVIDIA Logo

NVIDIA

Principal Engineer - AI Agents and Systems

Reposted 14 Days Ago
Be an Early Applicant
In-Office
Redmond, WA, USA
272K-431K Annually
Expert/Leader
In-Office
Redmond, WA, USA
272K-431K Annually
Expert/Leader
Lead the architectural development of AI agent frameworks for Windows, optimize performance on NVIDIA GPUs, and mentor engineers in deployment best practices.
The summary above was generated by AI

Artificial intelligence is moving from passive assistance to autonomous, always-on agentic workflows. Our mission is to make this transition flawless, high-performing, and secure for millions of users worldwide.

We are looking for a Principal Engineer to serve as a key technical leader in deploying advanced AI agent frameworks and local runtimes to Windows and NVIDIA GeForce RTX GPUs. You will lead the development to ensure open-source AI agents (like Nemoclaw and OpenClaw) run locally, safely, and efficiently on consumer PCs. By combining powerful local inference (Nemotron models) with robust privacy routers and sandboxed execution, you will help create the foundation of the desktop AI operating system.

What You Will Be Doing:

  • Technical Architecture & Strategy: Act as the lead architect for deploying the NemoClaw framework natively on Windows environments. You will shape the technical roadmap to bring always-on, self-evolving AI assistants to GeForce RTX PCs and laptops.

  • Systems-Level Sandboxing: Guide the engineering efforts to optimize the agent runtimes for Windows. You will ensure that autonomous agents operate within thorough, policy-based privacy and security frameworks (e.g., handling filesystem access, secure inference routing, and network egress).

  • Performance Optimization: Design the integration of NemoClaw with NVIDIA's hardware and middleware stack. You will work to minimize latency and memory footprint, ensuring local models (like Nemotron) run efficiently on GeForce GPUs using TensorRT and CUDA.

  • Partner closely with internal AI research teams, driver teams, and the open-source OpenClaw community. Ensure our consumer hardware provides an excellent ecosystem for autonomous agents.

  • Mentorship & Team Support: Foster a collaborative engineering culture by mentoring senior engineers, establishing best practices for AI agent deployment, and writing reliable, production-ready code.

What We Need to See:

  • Experience: 15+ years of relevant professional software engineering experience, with at least 3+ years in a Principal, Staff, or Lead Architect role.

  • Education: BS, MS, or PhD in Computer Science, Computer Engineering, or a related technical field (or equivalent experience).

  • Systems & OS Knowledge: Deep understanding of Windows OS internals, process isolation, sandboxing technologies, and system-level security architecture.

  • AI & GPU Infrastructure: Proven understanding of LLM inference pipelines (Ollama, Llamacpp, vLLM), GPU-accelerated computing (CUDA, TensorRT), and experience running local models on consumer-grade hardware.

  • Agentic Frameworks: Practical experience with modern AI orchestration and agentic frameworks (e.g., OpenClaw, LangChain, AutoGPT) and an understanding of how multi-agent systems plan, act, and use tools.

  • Programming Languages: Proficiency in multiple languages, particularly C++ (for performance-critical systems/OS integration), Python (for AI/blueprint logic), and TypeScript (for agent plugins and tooling).

  • Communication: Strong ability to translate sophisticated architectural concepts into clear technical documentation and communicate effectively across diverse engineering teams.

Ways to Stand Out from the crowd:

  • Demonstrated experience contributing to open-source AI agent platforms or orchestration tools (especially OpenClaw).

  • Extensive knowledge of the NVIDIA GeForce RTX architecture and its specific constraints and advantages for edge AI.

  • Previous experience building virtualization, containerization, or robust sandboxing tools natively for the Windows ecosystem.

  • Active engagement in the technical community (blogs, talks, whitepapers) focusing on the intersection of AI, security, and local compute.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most talented people on the planet working for us. As part of our team, you will have the opportunity to influence the future with your vision and expertise. Are you creative? Are you driven not just by data or the need to know why, but yearn to ask, 'why not'? We want to hear from you.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

HQ

NVIDIA Seattle, Washington, USA Office

4545 Roosevelt Way NE 6th Floor, Seattle, Washington, United States, 98105

Similar Jobs

55 Minutes Ago
Remote or Hybrid
US
100K-130K Annually
Senior level
100K-130K Annually
Senior level
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Lead UX research and design for B2B/SaaS insurance products: create wireframes, mockups, and prototypes; run user research and usability tests; use analytics to measure outcomes; collaborate with product and engineering to implement consistent, validated UX solutions.
Top Skills: BalsamiqFigmaMiroWhiteboards
55 Minutes Ago
Remote or Hybrid
US
100K-160K Annually
Senior level
100K-160K Annually
Senior level
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Design, build, and operate enterprise-scale multi-cloud infrastructure (Azure primary, GCP, AWS exposure). Own landing zones, Terraform modules, production AKS/GKE Kubernetes, Vault secrets, hybrid networking, CI/CD pipelines, monitoring, DR, and automation (Ansible, Python/Bash). Mentor engineers, document runbooks, and collaborate with security, application teams, and leadership to ensure secure, reliable, cost-optimized cloud platforms.
Top Skills: AksAnsibleApp GatewayArtifact RegistryAWSAwxAzureAzure DevopsAzure MonitorAzure StorageBashBgpBigQueryCloud BuildCloud LoggingCloud RunCloud SqlCloudboltDatadogDnsEc2EksGitlab CiGkeGoogle Cloud MonitoringGoogle Cloud Platform (Gcp)Hashicorp VaultHelmIamJenkinsKubernetesLoad BalancingManaged IdentityNsgPowershellPrivate EndpointsPythonS3SignozTerraformVertex AiVpcVpc Service ControlsVpnWorkload Identity
2 Hours Ago
Remote or Hybrid
Seattle, WA, USA
124K-280K Annually
Senior level
124K-280K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead finance transformation engagements using Oracle Cloud ERP and EPM. Design and implement Oracle Financials and Hyperion solutions, integrate RPA/ML/analytics, ensure compliance, manage stakeholder relationships, coach teams, and drive strategic outcomes on large, cross-border projects.
Top Skills: Ahcs/FahAnalyticsFixed Assets (Fa)Hyperion Financial ManagementMachine LearningOracle ApOracle ArOracle Cloud ErpOracle CmOracle EpmOracle ExpensesOracle FinancialsOracle GlOracle Ppm (Grants)Project BillingProject CostingRpa

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account