Senior Automation and Tools Development Engineer

Nvidia

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$140,000–$224,250 / yr
Posted
11 days ago
Freshness
Confirmed live yesterday
Closes
Nov 1, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $177k
This role $182k
$130k most similar roles pay here $234k

This role pays more than 62% of similar roles. Most pay $146,375–$206,775 — the shaded band above. At the midpoint, this role pays about $182k versus about $177k 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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Automation and Tools Development Engineer

The Senior Automation and Tools Development Engineer joins the GPU SWQA team to design and implement automated tests for device driver software and SDKs on Windows and Linux operating systems. This role involves building tools, utilities, and frameworks in Python to automate testing workflows within the GPU domain while driving innovation in test automation initiatives. The engineer will analyze results, identify defects, perform root cause analysis, and measure code coverage for software under test. Key technical requirements include experience with AI technologies for test case automation, OS fundamentals, and PC I/O architecture including PCI-E, USB, and SATA. Candidates must possess skills in Object-Oriented Programming and experience with databases like SQL, MongoDB, and Elasticsearch. The role focuses on solving complex technical issues related to hardware interfaces and software compatibility across a diverse product matrix.

What you'll do

  • Design and implement automated tests using AI technologies for device driver software and SDKs on Windows and Linux.
  • Build Python-based tools, utilities, and frameworks to automate and optimize testing workflows in the GPU domain.
  • Identify, report, isolate, and debug software defects while driving them to resolution.
  • Measure and analyze code coverage results to drive improvements for software under test.
  • Develop applications that accelerate development and test workflows using maintainable and well-documented code.
  • Validate software compatibility across a wide range of products and interfaces within a defined test matrix.
  • Perform peer code reviews focusing on performance, scalability, and correctness.
  • Estimate and prioritize tasks to create realistic delivery schedules for technical projects.

What we're looking for

  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electronics & Telecommunication, or equivalent experience.
  • 4+ years of programming experience in Python or an equivalent language using Object-Oriented Programming concepts.
  • Experience using AI tools to automate test cases and end-to-end QA workflows (preferred).
  • Working experience with databases and storage technologies such as SQL, MongoDB, and Elasticsearch.
  • Strong understanding of OS fundamentals and PC hardware fine-tuning for Linux, Unix, and Windows.
  • Knowledge of system architecture and common bus interfaces including PCI-E, USB, and SATA.
  • Familiarity with specifications pertaining to general PC-Architecture components (preferred).
  • Experience in fixing regression bugs and implementing tests for CI/CD (preferred).

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