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Principal Software Engineer — Agentic AI Applications and Foundations

NVIDIA· Engineer, Sys SW
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Santa Clara, CA$272k - $431.3kfull-timePosted 6mo ago

About the role

Principal-level, hands-on engineering leader to harden and scale NVIDIA’s Agentic AI applications and foundations, focusing on reliability, polish, user trust, and full-stack production readiness across desktop, web, and services.

Responsibilities

  • Improve reliability, performance, observability, release confidence, and end-user experience across desktop, web, and service-based AI products.
  • Design and build resilient frontends, backend APIs, distributed services, data flows, and deployment systems that scale to enterprise use.
  • Establish strong patterns for testing, debugging, CI/CD, safe rollout, auto-update mechanisms, monitoring, incident response, and operational excellence so our Agentic AI applications behave like mature software, not prototypes.
  • Build reusable capabilities that support multiple agent domains, including orchestration services, deep-agent workflows, memory and context services, evaluation frameworks, telemetry, and policy-aware tool integration.
  • Help validate and operationalize technologies such as Nemotron, NVIDIA AI Blueprints, and related platform capabilities in enterprise production settings.
  • Codify architecture, shared components, documentation, and operational playbooks; mentor engineers; and create foundations that are durable, reusable, and broadly owned.
  • Define the core architecture for how AI agents discover one another, collaborate securely, build trust, and operate under enterprise governance.
  • Partner closely with domain AI engineers, product managers, designers, infrastructure teams, IT, and research to deliver measurable outcomes across employee productivity, engineering efficiency, AIOps, and enterprise operations.

Qualifications

  • BS, MS, or equivalent experience in Computer Science or a related field.
  • 15+ years building and operating production software systems, including significant experience leading architecture and delivery across the full stack.
  • Familiarity with enterprise application deployment, security, authentication, device management, and application lifecycle management.
  • Solid experience building modern applications across frontend, backend, and platform layers. Technologies may include TypeScript/JavaScript, React, Electron or similar desktop frameworks, Python, Go, Java, APIs, data systems, and distributed infrastructure.
  • Proven track record taking complex products from prototype to reliable, secure, well-operated production systems. Deep expertise in testing strategy, release engineering, observability, performance tuning, and incident response.
  • Experience building shared services, internal platforms, SDKs, or core infrastructure used by multiple teams or products.
  • Working knowledge of modern AI application patterns such as LLM-powered applications, RAG, tool use, CLI-based workflows, reusable skills, MCP-based integrations, evaluation loops, memory systems, and agentic workflows.
  • Strong judgment, communication, and cross-functional leadership skills, with the ability to influence across teams while remaining highly hands-on.

Skills

Required:Reliability engineering

Benefits

  • equity
  • benefits
Last updated Jun 26, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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