Senior Automation and Tools Development Engineer

Nvidia

Confirmed live today High trust
Closes in 5 days

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$140,000–$224,250 / yr
Employment
Full-time
Posted
57 days ago
Freshness
Confirmed live today
Closes
Nov 1, 2026 (soon)

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $175k
This role $182k
$128k $235k
below market most similar roles pay here above market

This role pays more than 65% of similar roles. Most pay $146,875–$203,393 — the blue band above. At the midpoint, this role pays about $182k versus about $175k 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 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 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. The role involves building tools, utilities, and frameworks using Python to optimize testing workflows within the GPU domain. Key responsibilities include using AI technologies to automate test cases, analyzing results to identify defects, and measuring code coverage. The engineer must possess a deep understanding of system architecture, PC I/O architecture, and bus interfaces like PCI-E, USB, and SATA. Required technical skills include experience with SQL, MongoDB, and Elasticsearch, alongside Object-Oriented Programming. The position focuses on validating software compatibility across a wide test matrix while providing peer code reviews and solving complex technical issues.

What you'll do

  • Design and implement automated tests using AI technologies for NVIDIA device drivers and SDKs on Windows and Linux.
  • Build Python-based tools, utilities, and frameworks to automate and optimize GPU domain testing workflows.
  • Identify, isolate, debug, and report software defects while driving them to resolution.
  • Measure and analyze code coverage for software under test to drive coverage enhancements.
  • Develop applications that accelerate development workflows using fast, maintainable, and well-documented code.
  • Validate software compatibility across a wide range of products and interfaces within a comprehensive test matrix.
  • Provide 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

  • B.S/B.Tech/M.S in Computer Science, Computer Engineering, Electronics & Telecommunication, or equivalent experience.
  • 4+ years of programming experience in Python or equivalent using Object-Oriented Programming concepts.
  • Experience using AI tools to automate test cases and end-to-end QA workflows.
  • Working experience with databases and storage technologies like SQL, MongoDB, and Elasticsearch.
  • In-depth understanding of Windows, Linux, and Unix operating systems and PC hardware fine-tuning.
  • Comprehensive knowledge of system architecture, PC I/O architecture, and common bus interfaces like PCI-E, USB, and SATA.
  • Ability to develop tools, utilities, and frameworks to automate and optimize testing workflows.
  • Substantial experience with AI-driven automation (preferred).

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