Sr. Product Manager-Data Center GPU

WHAT YOU DO AT AMD CHANGES EVERYTHING

We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. 

AMD together we advance_

THE ROLE:

We are seeking a Senior Product Manager – AI & High-Performance Computing (HPC) to lead the development and strategic direction of next-generation deep learning compilers, runtime systems, and GPU-accelerated libraries. This individual will play a pivotal role in shaping the future of AI infrastructure, driving adoption of cutting-edge solutions, and aligning product strategy with emerging trends in ML/AI workloads.

THE PERSON:

The ideal candidate is a proven technical product leader with deep experience in AI, high-performance computing, and GPU acceleration. They thrive in cross-functional environments, are passionate about solving complex problems, and have a track record of successfully launching impactful developer tools and libraries. Strong technical communication, a strategic mindset, and customer-first thinking are essential.

KEY RESPONSIBILITIES:

• Define and execute product strategies for deep learning compilers and GPU kernel ecosystems.
• Lead the development and roadmap of tools such as CUTLASS, OpenAI Triton, cuDNN, and next-gen inference kernel libraries.
• Drive adoption of kernel authoring technologies in frameworks like PyTorch and JAX.
• Collaborate with engineering, research, and architecture teams to deliver scalable, high-performance AI infrastructure.
• Launch and evangelize technical libraries (e.g., cuFFT, cuSOLVERMp) that solve customer pain points and accelerate AI/HPC workloads.
• Manage cross-team initiatives that align with product marketing, customer success, and academia to ensure ecosystem growth.
• Monitor market trends and customer needs to identify opportunities for innovation and optimization.
• Guide open-source strategy and external developer engagement through blogs, training, and thought leadership.

PREFERRED EXPERIENCE:

• Proven years in product management, technical leadership, or engineering roles in AI, ML, or HPC domains.
• Deep familiarity with CUDA, GPU architectures, and AI/ML frameworks such as PyTorch, JAX, and TensorFlow.
• Experience with compiler infrastructure, kernel optimization, and runtime orchestration for AI workloads.
• Strong track record of delivering scalable and performant developer tools or libraries.
• Successful collaboration across multidisciplinary teams including engineering, research, marketing, and external partners.
• Experience with open-source engagement and developer ecosystem growth.
• Excellent written and verbal communication skills, with experience translating technical topics for diverse audiences.

ACADEMIC CREDENTIALS:

• Bachelor’s degree or higher in Computer Science, Electrical Engineering or closely related field. 

LOCATION:

• We are flexible on location within North America for the right candidate.  

#LI-EV1

#LI-HYBRID 

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.