THE ROLE: The Diagnostics Engineering team is responsible for delivering functional, system, and stress diagnostics across CPU, APU, and dGPU platforms. In this role, you will work at the intersection of hardware and software, developing and customizing diagnostics solutions that validate AMD's industry-leading high-performance products.
You will collaborate closely with SoC leads, program managers, and cross-functional engineering teams to ensure full feature coverage, system-level validation, and successful product deployment in real-world environments. This role offers the opportunity to work on cutting-edge technologies, influence product quality, and contribute to innovations across client and embedded platforms.
THE PERSON:You are a highly motivated engineer who thrives in a fast-paced, collaborative environment. You enjoy solving complex system-level problems and have a passion for bridging hardware and software. You are detail-oriented, proactive, and driven to improve quality and efficiency.
You communicate effectively across teams, take ownership of deliverables, and are comfortable navigating ambiguity while delivering robust solutions. A continuous learner mindset and interest in emerging technologies, including AI-driven methodologies, will help you succeed in this role.
KEY RESPONSIBILITIES: - Drive diagnostics customization to ensure compatibility with diverse customer hardware and software environments
- Partner with SoC leads and program managers to support execution across client and embedded CPU/GPU programs
- Own end-to-end diagnostics quality, coverage, and completeness across multiple projects
- Define and implement diagnostics requirements to achieve feature coverage and hardware bug detection targets
- Lead system-level validation, including multi-IP feature verification, power and performance evaluation, and stress testing
- Collaborate with cross-functional teams to support key milestones such as bring-up, feature enablement, and production readiness
- Triage internal and external issues, guide debugging efforts, and improve diagnostics coverage
- Drive efficiency through process improvements, automation, and AI/ML-driven initiatives
PREFERRED EXPERIENCE: - Strong experience in software or firmware development with exposure to CPU/GPU hardware systems
- Proficiency in Linux development environments, including device drivers, user-space programming, shell scripting, and toolchains (GCC/Clang)
- Solid understanding of CPU architectures (x86, ARM64, RISC-V)
- Familiarity with BIOS, GPU, PCIe, DDR, PMU, or RAS firmware development
- Strong C/C++ programming skills
- Experience with SoC or board-level debugging and test methodologies
- Hands-on experience with development tools such as debuggers, profilers, and version control systems (e.g., Git)
- Exposure to AI/ML applications is a plus
ACADEMIC CREDENTIALS: - Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field preferred
This role is not eligible for visa sponsorship.#LI-LC2
#LI-Hybrid
Benefits offered are described: AMD benefits at a glance.
