Principal Software Engineer — Agentic AI Applications and Foundations

Nvidia

Actively hiring
Us, Ca, Santa Clara, US Posted 52 days ago $272,000–$431,250 / year
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At a glance

AI generated

TL;DR

NVIDIA’s Enterprise AI team is seeking a principal-level engineering leader to enhance the reliability and scalability of its intelligent AI agents used across the company. This role involves improving performance, observability, and end-user experience for desktop, web, and service-based AI products by designing resilient frontends, backend APIs, distributed services, and deployment systems that scale to enterprise use. The candidate will establish robust testing, debugging, CI/CD, monitoring, and operational excellence patterns while building reusable capabilities such as orchestration services and evaluation frameworks. They must have extensive experience in production software systems, modern application development using technologies like TypeScript, React, Python, Go, and distributed infrastructure, and a proven track record of transforming complex prototypes into reliable, secure production systems. Additionally, the role requires expertise in AI application patterns, cross-functional leadership, and familiarity with NVIDIA’s GPU-accelerated systems and AI Blueprints.

Skills

Python Go TypeScript JavaScript React Electron APIs Docker CI/CD Prometheus Grafana Kubernetes Terraform PostgreSQL Git GitHub NVIDIA_NeMo NVIDIA_TensorRT-LLM GPU_Acceleration LLM_Powered_Applications RAG CLI_Workflows MCP_Integrations Agentic_Worksflows Identity_Discovery_Trust_Systems

What you'll do

  • Improve reliability and performance of AI products across desktop, web, and services.
  • Design resilient frontends, backend APIs, and distributed services for enterprise use.
  • Establish testing, debugging, CI/CD, monitoring patterns for operational excellence.
  • Build reusable capabilities like orchestration services and deep-agent workflows.
  • Validate and operationalize technologies in Nemotron and NVIDIA AI Blueprints.
  • Define core architecture for secure collaboration and trust among AI agents.
  • Partner with cross-functional teams to deliver measurable outcomes in productivity.

What we're looking for

  • 15+ years of experience building and operating production software systems across the full stack.
  • Deep expertise in testing strategy, release engineering, observability, performance tuning, and incident response.
  • Solid experience with modern application development technologies including TypeScript/JavaScript, React, Python, Go, Java, APIs, data systems, and distributed infrastructure.
  • Proven ability to take complex AI products from prototype to reliable, secure production systems.
  • Experience building shared services, internal platforms, SDKs, or core infrastructure used by multiple teams/products.
  • Familiarity with modern AI application patterns such as LLM-powered applications, RAG, tool use, CLI-based workflows, and agentic workflows.

Market check

Salary context

This $272,000–$431,250 range sits above 99% of similar postings on FindRole.

Peer median band

$168,000–$246,300

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$162,000–$246,150

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 802 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 798 roles with salary data.

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