1. Develop and execute comprehensive test plans, test cases, and test scripts for server systems, with a specific focus on GPU integration, ML, and AI functionality.
2. Collaborate closely with hardware and software development teams to understand system requirements, ensuring thorough testing of GPU hardware, ML frameworks, and AI models.
3. Perform integration testing of server components, including GPUs, specialized accelerators, firmware, and software stacks supporting ML/AI workloads.
4. Design and implement automated test frameworks and tools tailored for GPU-centric and ML/AI-driven server environments.
5. Conduct performance testing to assess GPU acceleration, scalability, and responsiveness of server systems under various ML/AI workloads.
6. Identify and report defects, issues, and performance bottlenecks related to servers, GPU functionality and ML/AI processing, working closely with development teams for resolution.
7. Stay current on emerging technologies, industry trends, and best practices related to GPU integration, ML, and AI within server systems.