Senior Software Engineer, Infrastructure Development

Nvidia

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$132,000–$207,000 / yr
Posted
1 day ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $183k
This role $170k
$121k most similar roles pay here $232k

This role pays less than 55% of similar roles. Most pay $145,450–$221,250 — the shaded band above. At the midpoint, this role pays about $170k versus about $183k for comparable roles.

Based on 240 similar postings.

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 992 open roles on FindRole.

Listed pay typically runs $168,000–$264,500 across 979 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Software Engineer, Infrastructure Development

As a Senior Software Engineer in NVIDIA’s Test Solutions Group, you will develop industry-standard web-based IDEs and platforms to automate diagnostic creation and validation for next-generation GPU and CPU products. Your day-to-day involves building universal frameworks, managing diagnostic systems, and implementing AI-assisted tools to enhance engineering productivity. You’ll work closely with cross-functional teams to solve complex infrastructure challenges and integrate modern AI technologies like LLMs and RAG into internal platforms. The ideal candidate has a strong background in full-stack development, Python programming, JavaScript, React, and experience with containerized services and CI/CD pipelines. Familiarity with AI application concepts such as prompt engineering and model evaluation is crucial for this role, which focuses on modernizing engineering workflows at scale within NVIDIA’s expansive product ecosystem.

What you'll do

  • Develop industry-standard three-tier web-based IDEs to automate diagnostic creation for NVIDIA products.
  • Build universal frameworks to standardize diagnostic structures and release processes across all NVIDIA products.
  • Design AI-assisted tools to improve engineering productivity through intelligent troubleshooting and workflow automation.
  • Apply modern AI technologies like LLMs, RAG, and semantic search to enhance TSG’s infrastructure platforms.
  • Work with cross-functional teams to solve complex challenges in test infrastructure, security, and development.

What we're looking for

  • BS in Computer Science or related field with 5+ years of software development experience.
  • Strong full-stack application development skills including frontend, backend, database, deployment, and system integration.
  • Expert Python programming and bash scripting abilities.
  • Solid database design experience, including schema creation and query optimization.
  • Familiarity with JavaScript, React, CSS, HTML, yarn or npm; TypeScript knowledge preferred.
  • Hands-on AI tool usage to enhance software development productivity.
  • Practical understanding of AI application concepts like LLM APIs and prompt engineering.

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