Silicon Diagnostics Lead – Graphics & Compute/AI
Advanced Micro Devices View all jobs
- Markham, ON
- Permanent
- Full-time
- Technical Strategy and Project Leadership
- Define, the long-term roadmap for GPU performance testing, feature testing, and manufacturing testing for both pre-silicon and post-silicon verification
- Execution Excellence: Lead a team to execute on AMD’s roadmap projects providing on-time Diagnostic test deliveries, risk assessments, and action plans to meet our customers’ needs.
- Software Diagnostics Development
- Design & Architect advanced diagnostics to detect, localize, and triage GPU defects or performance bottlenecks.
- Lead team initiatives to integrate customer application layers – like ROCm, OpenCL and Vulkan – into diagnostics development pipeline, ensuring compatibility and enhanced GPU testing
- Overseeing and providing development support to team members.
- Encourage team members to work on high visibility projects to grow technical skills and move the needle forward
- Continuous collaboration with DFx, Performance, Manufacturing, and Validation teams to improve coverage, yield, and field reliability while growing credibility within the organization
- Creating comprehensive updates for upper levels of management, clearly articulating areas of excellence and improvement.
- Significant technical experience and proven leadership experience managing teams of various sizes/strengths.
- Experience in New Product Introduction (NPI) phases for semi-conductor programs in both pre-silicon and post-silicon.
- Excellence in planning for schedules, resources, and dependencies
- Experience in working with Engineers, Program/Project Managers, and Executives across multiple organizations to align a common solution
- Deep understanding of GFX and compute architectures, with proven ability to design and implement diagnostic and test cases that maximize coverage and proactively identify silicon issues
- Expert in Modern C++ (C++17 and beyond)
- Experience in developing tools around test Infra automation as well as HW design for easier triage/debug.
- Proficiency in Scripting and automation languages (e.g., Python, Bash, Csh, etc)
- Linux & Windows shells working environment
- Understanding of AI/ML principles and some experience in applying LLM & ML models in applications
- Experience with working in DevOps environment like GitHub, CI/CD pipelines
- Excellent problem-solving abilities with a keen eye for detail are highly valued
- Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent
- Markham, ON