Principal Software Engineer — Agentic Ai Applications And Foundations

NVIDIA

Base: 272,000 usd - 431,250 usd; bonus/equity: equ...
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Production software systems
Full stack architecture
Frontend, backend, and platform layers
** NVIDIA is seeking a Principal Software Engineer for its Enterprise AI team to architect and enhance AI applications and infrastructure, ensuring reliability and user trust. The role requires extensive experience in full-stack development and a deep understanding of production systems, particularly in AI contexts. **

Job Summary

  • This is a role for someone who obsesses over reliability, polish, and user trust — and who has the full-stack depth to harden production systems and the architectural vision to ensure they scale.
  • Design and build resilient frontends, backend APIs, distributed services, data flows, and deployment systems that scale to enterprise use.
  • Codify architecture, shared components, documentation, and operational playbooks; mentor engineers; and create foundations that are durable, reusable, and broadly owned.

Matching Summary

Match Score: 75

** NVIDIA is seeking a Principal Software Engineer for its Enterprise AI team to architect and enhance AI applications and infrastructure, ensuring reliability and user trust. The role requires extensive experience in full-stack development and a deep understanding of production systems, particularly in AI contexts. **

Salary

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

Skills & Requirements

Must-have

  • production software systems
  • full stack architecture
  • frontend, backend, and platform layers
  • AI application patterns
  • production-grade systems around AI
  • hands-on engineering leader

Nice-to-have

  • improving engineering velocity
  • reusable infrastructure for AI products
  • GPU-accelerated systems
  • agent collaboration systems

Key Requirements

  • 15+ years building and operating production software systems
  • BS, MS, or equivalent experience in Computer Science or related field
  • Full stack depth
  • 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

Work Rights

Not specified

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