AI Software Quality Engineer

WHAT YOU DO AT AMD CHANGES EVERYTHING 

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.  

The role

We’re looking for a Software Quality Engineer to ensure the quality, reliability, and performance of AMD’s AI and HPC software stack ROCm Software. In this role, you will design, implement, and scale test frameworks and test suites that validate APIs, toolchains, and runtime behavior across GPU architectures, drivers, and operating environments. You’ll collaborate closely with the developer teams to ensure high-quality output, that meets correctness, conformance, and performance goals.

What you'll do

• Create and maintain automated and manual tests.
• Run tests across different systems and GPUs, track and report results.
• Investigate failures, identify clear steps to reproduce, and work with developers to resolve issues.
• Help improve our test processes, coverage, and release readiness.
• Support regular release qualification and ongoing improvements to test reliability.

What we’re looking for

• Hands-on experience on automated test framework development is a must.
• Proficiency in Python, Bash; medium level of C/C++ coding.
• Experience with OS SDKs and developer tools in both Linux and Windows environments.
• Strong understanding of software quality assurance processes and open-source software.
• 3+ years of relevant experience with strong interests in efficient high-quality software development.
• Knowledge of ML models, frameworks, and GPU programming is a plus.

Success looks like

• Increased automated coverage and fewer manual steps.
• Reliable test runs with fast feedback.
• Clear, actionable bug reports and faster resolution of issues.
• Stable releases across different systems and GPU generations.

Why join

• Work on high-impact software used by developers and researchers worldwide.
• Collaborate with experienced teams across software, tools, and hardware.
• Opportunity to shape test strategy and automation at scale.

Academic credentials:

• Bachelor’s in Computer Science, Electrical Engineering or relevant fields.