Principal Software Engineer — Agentic AI Applications and Foundations

What you'll do

• Improve reliability, performance, observability, release confidence, and user experience across desktop, web, and service-based AI products.
• Design and build scalable frontends, APIs, distributed services, data flows, deployment systems, and reusable agent capabilities.
• Set operational and architectural practices for testing, rollout, monitoring, incident response, secure agent collaboration, and enterprise governance; mentor engineers and partner across teams.

What they ask for

• BS, MS, or equivalent experience in Computer Science or a related field.
• 15+ years building and operating production software systems, including significant full-stack architecture and delivery leadership.
• Experience with enterprise application deployment, security, authentication, device management, and application lifecycle management.
• Proven experience taking complex products into reliable, secure production; expertise in testing, release engineering, observability, performance tuning, and incident response.

Nice to have

• Experience hardening desktop or client applications at scale, or improving engineering velocity through shared frameworks and tooling.
• Experience building reusable AI infrastructure or agent-collaboration systems; familiarity with GPU-accelerated systems or NVIDIA AI technologies.

Pay

272,000 USD - 431,250 USD (base salary)

Tools

TypeScript/JavaScript, React, Electron, Python, Go, Java, Nemotron, NVIDIA AI Blueprints

AI focus

Build and operationalize production agentic AI applications and infrastructure, including orchestration, memory and context services, evaluations, tool integrations, and secure agent collaboration.