About this role
THE ROLE
We are looking for a dynamic and experienced Client/dGPU Systems Design Engineer to join our growing team as a ROCm Feature Enablement Technical Lead. As a key contributor to the success of AMD's product, you will be part of a leading team to drive and improve AMD's abilities to deliver the highest quality, industry-leading technologies to market. The Systems Design Engineering team fosters and encourages continuous technical innovation to showcase successes as well as facilitate continuous career development.
THE PERSON:
You are a hands-on technical leader with strong systems engineering, GPU software, validation, and debugging expertise. You can translate product and customer requirements into actionable feature plans, validation strategies, test coverage, dependencies, and measurable exit criteria. You excel at driving technical alignment across hardware and software teams, leading discussions, resolving complex issues, and delivering key program milestones.
KEY RESPONSIBILITIES
- Serve as ROCm Feature Enablement Technical Lead for Client and dGPU programs
- Drive pre-silicon planning, post-silicon bring-up, feature enablement, and system validation to ensure on-time program execution
- Define and maintain feature lists, validation plans, test strategies, dependencies, coverage, and exit criteria
- Collaborate closely with architecture, design, firmware, software, diagnostics, and validation teams to drive feature readiness and execution
- Lead issue triage, root-cause analysis, debugging, and fix verification during bring-up, validation, and production phases of SoC programs
- Drive continuous improvements in validation efficiency through automation, tool development, scripting, and process enhancements
- Champion technical innovation and contribute to cross-functional initiatives that strengthen AMD's validation methodology and capabilities
PREFERRED EXPERIENCE:
- Strong knowledge of GPU architecture, system software, validation, and debugging.
- Strong communication, technical leadership, and cross-functional collaboration skills.
- Hands-on experience with ROCm, Linux GPU drivers, HIP, AI or compute workloads, and GPU software stacks.
- Strong hardware and software debugging skills.
- Experience developing test plans, test cases, scripts, and automation.
- Experience utilizing AI agents and automation technologies to improve productivity and operational efficiency.
ACADEMIC CREDENTIALS:
- Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, Software Engineering, or a related discipline.
Location
- Markham, ON