Lead Quality Platform Engineering - DevOps

Job Title

Lead Quality Platform Engineering - DevOps

Role Summary

The Lead Quality Platform Engineer will build and operate CI/CD pipelines, automated test suites, data collection systems, and observability dashboards to validate GPU-accelerated machine-learning libraries. The role partners with library developers, platform teams, and program management to ensure stability, reliability, and performance across GPU architectures.

Primary focus: test automation, CI integration, quality metrics, and debugging across kernel → library → framework stacks.

Experience Level

Senior — requires 10+ years of experience in DevOps, CI/CD, or infrastructure engineering and proven senior-level SDET or automation engineering experience.

Responsibilities

Deliver and maintain test and CI infrastructure to validate C++ GPU libraries and surface engineering health metrics.

• Design, implement, and maintain automated test suites (gtest) for a C++ open-source library.
• Integrate test automation into CI pipelines (GitHub Actions or Jenkins) to provide rapid developer feedback.
• Build ETL/data pipelines and dashboards to collect, visualize, and act on quality metrics.
• Detect, isolate, report, and drive resolution of defects found during testing.
• Continuously improve test infrastructure, coverage, and methodologies.
• Collaborate with developers and product teams on test strategies, acceptance criteria, and test planning.
• Lead complex debugging and root-cause analysis across kernel, library, and framework layers.
• Document test results and produce user-friendly reports on quality status.

Requirements

Must-have skills and experience required for immediate impact; preferred items are listed last.

• Must-have: 10+ years in DevOps/CI/CD/infrastructure engineering; proven SDET or equivalent testing role focused on C++ development and testing.
• Strong experience with GoogleTest (gtest) for unit and integration testing in C++.
• Hands-on experience with CI automation using Jenkins or GitHub Actions.
• Experience with Windows and Linux development and test environments.
• Containerization experience (Docker) for reproducible test environments.
• Familiarity with Git and development workflows used in open-source projects.
• Experience building or deploying web applications for dashboards and visualization.
• Strong problem-solving, debugging, and communication skills.
• Experience using agentic AI to automate multi-step engineering workflows (CI orchestration, test generation, incident remediation).
• Nice-to-have: ROCm/CUDA/HIP or other GPU compute stack experience; GPU kernel compilation and binary artifact management; pre-silicon simulation environments; observability patterns (metrics, alerting, SLA monitoring); JIRA/Confluence automation; familiarity with GPU driver runtimes (HSA, KMD/UMD, DTIF).

Education Requirements

B.Tech or M.Tech in Computer Science, Electrical/Electronic Engineering, or a related field.

About the Company

Company: Advanced Micro Devices

Headquarters: Sunnyvale, California, USA

Advanced Micro Devices, or AMD, is a global semiconductor company that designs and manufactures microprocessors, graphics processors, and related technologies for a variety of computing devices. Known for pushing the boundaries of innovation, AMD's mission is to deliver high-performance computing solutions for AI, data centers, gaming, and embedded applications. They foster a collaborative, inclusive culture focused on creativity and problem-solving, aiming to drive progress and excellence in technology.