Job description

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: AMD AI Group is seeking a highly influential technical leader for OneROCm — driving a unified ROCm software stack across AMD’s broad product portfolio, including Instinct, Radeon, Ryzen, Embedded, Game Consoles, and Autonomous Driving platforms. This is a rare opportunity to drive innovation, and help develop next-generation products(NPI) at company-wide scale. The ideal candidate will shape the end-to-end ROCm software and influence the full stack, spanning compilers, kernels, runtime, libraries, models, frameworks, and performance optimization layers. The role also requires strong hardware/software co-design to maximize performance across diverse AMD products and workloads. The ideal candidate is expected to be highly hands-on and embrace agentic AI workflows. THE PERSON: You are a strong technical leader who is able to work across organizations, align architecture with product goals, and influence innovation and execution. You bring deep expertise in at least one major area of the stack, while also demonstrating the curiosity, adaptability, and technical breadth to learn new domains, grow their impact, and influence the broader ecosystem. As a successful candidate, you are recognized for technical excellence, and the ability to d eliver innovation s through collaboration across silicon, system software, AI/ML frameworks, libraries, and application enablement teams. KEY RESPONSIBILITIES: • Hardware-Software Co-design: Collaborate across hardware architecture, compiler, math libraries, kernel and framework teams to influence future silicon features based on evolving AI workload trends. • Strong Execution: Deliver innovations and roadmap for AI software stack across all AMD products, ensuring AMD remains the platform of choice for top-tier AI customers. • Workload Performance Engineering: Lead the profiling, analysis, and tuning of large-scale models (LLMs, Diffusion, Multimodal, and MoE ) to ensure "out-of-the-box" performance excellence on AMD hardware. • Ecosystem Innovation: Drive the development of advanced tools and frameworks for performance estimation, modeling, and automated reporting. • Customer Engagement: Partner with top customers and hyperscalers to understand their unique workload requirements and deliver tailored architectural wins and software optimizations. • Community & Open Source : Mentor and inspire other engineers and contribute to ROCm Opensource . PREFERRED EXPERIENCE: • Knowledge in GPU architectures, basic knowledge of CPU architecture • Experience in AI/ML software stack spanning compilers, kernels, runtime, libraries, models, frameworks, and performance optimization layers • Understanding of GPU programming such as ROCm , CUDA, OpenCL, etc • Experience in hardware/software co-design, building high-performance products across the full product lifecycle. • Experience with operating systems (OS) and device driver development is a plus ACADEMIC CREDENTIALS: • Undergrad degree required . Bachelor of Science, Masters, or PhD degree with emphasis in Electrical Engineering, Computer architecture, or Computer Science with relevant experience preferred LOCATION; • San Jose, other locations will be considered. #LI-JG1 Benefits offered are described: AMD benefits at a glance . AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.

Requirements

Must-haves

Hardware-Software Co-design: Collaborate across hardware architecture, compiler, math libraries, kernel and framework teams to influence future silicon features based on evolving AI workload trends.
Strong Execution: Deliver innovations and roadmap for AI software stack across all AMD products, ensuring AMD remains the platform of choice for top-tier AI customers.
Workload Performance Engineering: Lead the profiling, analysis, and tuning of large-scale models (LLMs, Diffusion, Multimodal, and MoE ) to ensure "out-of-the-box" performance excellence on AMD hardware.
Ecosystem Innovation: Drive the development of advanced tools and frameworks for performance estimation, modeling, and automated reporting.
Customer Engagement: Partner with top customers and hyperscalers to understand their unique workload requirements and deliver tailored architectural wins and software optimizations.
Community & Open Source : Mentor and inspire other engineers and contribute to ROCm Opensource .
San Jose, other locations will be considered.
Benefits offered are described: AMD benefits at a glance .
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.
This posting is for an existing vacancy.

Nice-to-haves

Knowledge in GPU architectures, basic knowledge of CPU architecture
Experience in AI/ML software stack spanning compilers, kernels, runtime, libraries, models, frameworks, and performance optimization layers
Understanding of GPU programming such as ROCm , CUDA, OpenCL, etc
Experience in hardware/software co-design, building high-performance products across the full product lifecycle.
Experience with operating systems (OS) and device driver development is a plus
Undergrad degree required . Bachelor of Science, Masters, or PhD degree with emphasis in Electrical Engineering, Computer architecture, or Computer Science with relevant experience preferred

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiml

Platform: amd
Effort: medium