Senior Software Development Engineer in Test

NVIDIA•Santa Clara, CA

4d•$140,000 - $270,250

About The Position

NVIDIA is seeking a hands-on automation engineer with strong Python development skills, a quality-focused approach, and the ability to understand complex software, hardware, and PC gaming interactions. The engineer will help build and maintain Python-based automation frameworks, use AI development tools to accelerate test creation and implementation, and contribute to manual test planning and execution for NVIDIA App, the successor to GeForce Experience and NVIDIA Control Panel. The role develops automation, tools, and test coverage for NVIDIA software products, with a focus on improving quality, accelerating validation, and identifying defects early in the development lifecycle. It involves working with development, QA, and leadership teams to report progress, raise risks, and improve overall product quality.

Requirements

B.E./B.Tech degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
At least 5 years of software development, test automation, or software quality engineering experience, including collaboration across development and test teams around the globe.
Strong Python programming experience, including object-oriented programming, package management, debugging, logging, error handling, 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 for generating, modifying, debugging, and improving automation code.
Experience reading user documentation, product specifications, or feature requirements and developing test plans and test cases from them.
Good understanding of Windows operating systems, PC architecture, drivers, hardware/software interactions, PC gaming scenarios, and troubleshooting workflows.
Strong problem-solving and debugging skills, including isolating issues across automation, product code, operating systems, drivers, hardware configurations, and game or application behavior.

Nice To Haves

Experience with agentic AI development, including creating, configuring, prompting, evaluating, and integrating agents into engineering workflows.
Prior experience using Codex, Claude Code, or similar AI coding agents for software development or test automation.
Experience with GPUs, graphics drivers, gaming technologies, or NVIDIA technologies such as DLSS, Frame Generation, Reflex, CUDA, or G-Sync.
Strong knowledge of PC gaming ecosystems, including launchers, overlays, multi-monitor setups, display modes, input devices, performance tools, and compatibility scenarios.

Responsibilities

Design, implement, and maintain Python-based automated tests for NVIDIA App and its interactions with drivers, applications, and gaming-related technologies.
Use AI development tools to accelerate automation development, test generation, debugging, and workflow optimization.
Build and improve automation framework components, utilities, and tools to make test execution more reliable, scalable, and efficient.
Translate product documentation and feature requirements into test plans, automation coverage, and targeted hands-on validation for complex PC platform scenarios.
Test corner cases and interactions across hardware, software, drivers, games, and system settings.
Debug automation failures, product defects, and platform issues; identify root causes and communicate findings clearly.
Write maintainable, reliable, well-documented Python code.
Participate in peer code reviews, providing feedback on correctness, scalability, maintainability, and performance.
Work with development, QA, and leadership teams to report progress, raise risks, and improve product quality.