Principal Libraries CI Test Engineer

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THE ROLE:

Do you want to ensure the quality, performance, and reliability of multi-node GPU communication libraries that enable high-performance computing and machine learning workloads at Exascale? AMD is searching for a talented and motivated Principal Test Engineer to validate Communication libraries as part of the AMD Radeon Open Ecosystem (ROCm). You will be critical in designing and executing comprehensive testing strategies to guarantee these complex, high-speed libraries meet stringent performance and functional requirements across diverse cluster environments.

THE PERSON:

You are accustomed to working in a dynamic, geographically distributed agile team, where partnership and collaboration are paramount. You possess excellent written and verbal communication skills, a meticulous attention to detail, and the ability to express your work in a clear, cohesive fashion. You are results-oriented and accustomed to tight deadlines and changing priorities. Most importantly, you are constantly thinking of ways to break software and ensure optimal performance and defect-free execution across various hardware configurations.

KEY RESPONSIBILITIES:

• Design, develop, and execute comprehensive test plans, test cases, and test scripts (functional, performance, stress, and regression) for AMD's RCCL (an open-source, GPU-accelerated communication collective middleware) and related technologies.
• Validate networking features for multi-GPU and multi-node communication libraries, focusing on reliability, throughput, and latency.
• Establish and maintain automated test frameworks using languages like Python to ensure continuous integration and quality gates.
• Benchmark and profile the libraries on single-GPU, multi-GPU, and clustered systems to verify performance optimizations and identify regressions.
• Isolate, report, and track defects with clear, detailed, and reproducible steps, collaborating closely with development engineers to expedite resolution.
• Deploy the libraries on large clusters and participate in debugging complex, system-level issues that span across different layers of the software stack: GPU kernel drivers, NIC drivers, etc.
• Contribute to high-quality test documentation and participate in reviews of design and architectural specifications to ensure testability.

PREFERRED EXPERIENCE:

• Strong background in software testing and quality assurance methodologies, including test automation, performance testing, and system-level validation.
• Familiarity with continuous integration/continuous delivery (CI/CD) tools (e.g., Jenkins, GitLab CI).
• Experience with GPU software development or testing using HIP, CUDA, or OpenCL.
• Experience with low-level debugging or performance analysis tools.
• Strong programming background in C++ or Python.
• Proficiency in developing test scripts and automation frameworks using Python and Shell scripting.
• Experience with Linux/UNIX environments and cluster-computing concepts.
• Familiarity with network technologies relevant to HPC, such as RoCE (RDMA over Converged Ethernet), Libfabric, and InfiniBand.
• In-depth knowledge of best-practices in software quality assurance, including testing types, regression analysis, defect tracking (e.g., JIRA), and version control (e.g., Git).
• Experience with collective communication libraries like MPI, RCCL, or SHMEM.
• Understanding of the software development lifecycle (SDLC) and experience working within Agile/Scrum methodologies.

ACADEMIC CREDENTIALS:

• B.Sc. or B.Eng. degree in Computer Science, Software Engineering, Electrical Engineering, or equivalent.
• Advanced degrees, such as M.Sc., M.Eng., Ph.D., are a plus.

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