Senior SWQA Test Developer

About Nvidia

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a legacy of innovation fueled by great technology and extraordinary people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing—where our GPUs power intelligent systems across robots, self-driving cars, and devices that understand the world.

We are seeking a dedicated and highly skilled Senior SWQA Test Developer to join our Embedded QA team. In this role, you will help ensure the quality of advanced computing systems that drive next-generation embedded products across industries such as AI, Retail, Healthcare, Media, Finance, and Robotics. You will design, develop, and execute tests across the embedded software and hardware stack, leveraging AI tools to automate end-to-end QA workflows. Strong hands-on experience with embedded platforms, automation frameworks, and coverage analysis is highly desirable. This role involves close collaboration with engineering and release teams across multiple product verticals. Join us at the forefront of the Embedded and AI revolution and help shape the future of intelligent systems.

Job Summary

Using AI-powered tools to enable and implement CI/CD pipelines, optimize test execution, and drive scalable automation across workflows.

Key Responsibilities

• Adding new automation to improve code coverage and overall product quality; identifying gaps and contributing to near-100% automation goals.
• Developing test strategies and implementing tests on embedded/GPU-based platforms (Jetson/embedded Linux) to ensure performance, stability, and reliability.
• Crafting detailed, well-structured test plans, test cases, and validation workflows derived from high-level customer and product requirements.
• Employing various approaches to train, re-train, and fine-tune models for accuracy, performance, and efficiency optimization in agents/workflows.
• Identifying, documenting, triaging, and managing the lifecycle of regression bugs (internal and external).
• Participating in feature requirement reviews and influencing technical build documents with data-driven QA insights.
• Coordinating with project management, hardware, and software teams to provide in-depth technical analysis of top issues; periodically publishing statistical QA health and coverage reports.
• Developing applications, test tools, utilities, and automating workflows using NVIDIA’s internal test frameworks.

Requirements

• B.Tech./M.Tech. in CS/CE/IT/ECE/EEE or equivalent degree/experience.
• 5+ years of hands-on testing experience across the embedded software stack (bootloader, kernel, drivers, middleware, and applications).
• Strong programming skills in Python and/or C/C++; ability to write clean, logical code and scripts from scratch.
• Solid understanding of code coverage tools, test gap analysis, and quality metrics.
• Excellent knowledge of modern technologies.