below marketmost similar roles pay hereabove market
This role pays more than
76%
of similar roles. Most pay
$147,405–$180,250
— the blue band above.
At the midpoint, this role pays about
$182k
versus about
$164k
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.
The Senior Software Development Engineer in Test will join the team to develop automation, tools, and test coverage for NVIDIA software products, specifically focusing on the NVIDIA App. The role involves designing and maintaining automated tests using Python to validate interactions between drivers, applications, and gaming technologies. Key responsibilities include building automation framework components, translating product documentation into test plans, and debugging complex platform issues across hardware and software. The candidate must utilize AI development tools like Codex, Claude Code, or Cursor to accelerate test generation and workflow optimization. Required skills include proficiency in object-oriented Python, experience with Windows operating systems, and knowledge of PC architecture. The work addresses complex PC platform scenarios, including corner cases and obscure interactions across drivers, games, and system settings.
Design, implement, and maintain automated tests using Python for NVIDIA apps and hardware interactions.
Use AI development tools like Codex and Claude Code to accelerate test generation and workflow optimization.
Build and improve automation framework components, utilities, and tools to ensure scalable test execution.
Translate product documentation and feature requirements into comprehensive test plans and automation coverage.
Debug automation failures, product defects, and platform issues to identify and communicate root causes.
Write maintainable, well-documented Python code and participate in peer code reviews for performance and scalability.
Perform hands-on validation for complex PC platform scenarios, including hardware, software, and driver interactions.
What we're looking for
B.E./B. Tech degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
5+ years of software development, test automation, or software quality engineering experience.
Strong programming experience in Python, including object-oriented programming, package management, debugging, logging, and automation framework development.
Hands-on experience building or maintaining automated tests, test tools, or automation infrastructure.
Working knowledge of AI-assisted development tools and workflows, including coding agents or CLI-based AI tools.
Experience developing test plans and test cases from user documentation, product specifications, or feature requirements.
Good understanding of Windows operating systems, PC architecture, drivers, hardware/software interactions, and PC gaming scenarios.
Experience with GPUs, graphics drivers, gaming technologies, or NVIDIA technologies such as DLSS, Frame Generation, Reflex, CUDA, or G-Sync (preferred).
CUDA
Python
C
C++
Bash
GitLab
Jenkins
CI/CD
Linux
Windows
GPU Architecture
Firmware
PCIe
Test Automation
Virtualization
Containers
Configuration Management
API Integrations
Log Analysis