Principal Software Engineer — Agentic Ai Applications And Foundations

Invidia

CA, United States
Base: 272,000 usd - 431,250 usd; bonus/equity: eli...
Not specified (assumed to be on-site or hybrid based on company practices).
Full-stack software architecture
Production-grade ai systems
Frontend and backend development
NVIDIA is seeking a Principal Software Engineer to enhance its Agentic AI applications, focusing on building reliable, scalable, and efficient systems for enterprise use. The ideal candidate should possess extensive experience in full-stack software development, particularly in architecting and operating production-grade systems

Job Summary

  • NVIDIA’s Enterprise AI team builds intelligent AI agents that transform how NVIDIA operates across multiple domains.
  • The role focuses on improving reliability, performance, and scalability of AI products with a strong emphasis on operational excellence.
  • Candidates will partner cross-functionally to deliver measurable outcomes in employee productivity, engineering efficiency, and enterprise operations.

Matching Summary

Match Score: 85

NVIDIA is seeking a Principal Software Engineer to enhance its Agentic AI applications, focusing on building reliable, scalable, and efficient systems for enterprise use. The ideal candidate should possess extensive experience in full-stack software development, particularly in architecting and operating production-grade systems.

Salary

Base: 272,000 USD - 431,250 USD; Bonus/Equity: Eligible for equity; Benefits: Eligible for benefits

Skills & Requirements

Must-have

  • full-stack software architecture
  • production-grade AI systems
  • frontend and backend development
  • distributed services and APIs
  • testing and release engineering
  • observability and incident response

Nice-to-have

  • desktop application hardening
  • engineering velocity improvement
  • reusable AI infrastructure
  • identity and trust systems
  • GPU-accelerated AI technologies

Key Requirements

  • 15+ years software development experience
  • BS, MS, or equivalent in Computer Science
  • experience leading full-stack architecture
  • proven track record of production systems
  • knowledge of modern AI application patterns

Work Rights

Not specified

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