Lead Engineer, GPU AI Compute Architecture

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 is looking for an influential engineer working on software and hardware co-design. You will be a founding member of a core team of incredibly talented industry specialists and will define the future of hardware and software AI compute solutions. THE PERSON: Ideal candidates should possess a "Just-Do-It" mindset and strong motivation. They must be driven to understand the status quo and explore better solutions using first-principles thinking. Experience is highly preferred in end-to-end development of startup/GPU AI hardware, including programming models, GPU microarchitectures, tapeout, and bring-up. KEY RESPONSIBILITIES: Collaborate with AMD architecture engineers on GPU software and hardware design decisions Co-optimize AI workloads on current and next-generation GPUs Contribute to client projects and open-source AI frameworks, driving features and adoption Design and develop new technologies for future compute platforms Participate in new hardware bring-up and validation Build strong technical relationships with peers and partners PREFERRED EXPERIENCE: Deep AI infrastructure experience with open-source frameworks (e.g., SGLang, vLLM) Strong kernel optimization skills using DSLs and HIP (or CUDA), plus PTX/SASS equivalents Hands-on knowledge of modern GPU architectures Demonstrated open-source contributions on GitHub Motivational leadership and excellent interpersonal skills ACADEMIC CREDENTIALS Bachelor's, Master's, or Ph.D. in Computer Engineering, Computer Science, Electrical Engineering, or a related technical field Proven track record of technical excellence, demonstrated through top-tier publications, patents, or high-impact open-source contributions (e.g., GitHub repositories) #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.

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.

THE ROLE: AMD is looking for an influential engineer working on software and hardware co-design. You will be a founding member of a core team of incredibly talented industry specialists and will define the future of hardware and software AI compute solutions. THE PERSON: Ideal candidates should possess a "Just-Do-It" mindset and strong motivation. They must be driven to understand the status quo and explore better solutions using first-principles thinking. Experience is highly preferred in end-to-end development of startup/GPU AI hardware, including programming models, GPU microarchitectures, tapeout, and bring-up. KEY RESPONSIBILITIES: Collaborate with AMD architecture engineers on GPU software and hardware design decisions Co-optimize AI workloads on current and next-generation GPUs Contribute to client projects and open-source AI frameworks, driving features and adoption Design and develop new technologies for future compute platforms Participate in new hardware bring-up and validation Build strong technical relationships with peers and partners PREFERRED EXPERIENCE: Deep AI infrastructure experience with open-source frameworks (e.g., SGLang, vLLM) Strong kernel optimization skills using DSLs and HIP (or CUDA), plus PTX/SASS equivalents Hands-on knowledge of modern GPU architectures Demonstrated open-source contributions on GitHub Motivational leadership and excellent interpersonal skills ACADEMIC CREDENTIALS Bachelor's, Master's, or Ph.D. in Computer Engineering, Computer Science, Electrical Engineering, or a related technical field Proven track record of technical excellence, demonstrated through top-tier publications, patents, or high-impact open-source contributions (e.g., GitHub repositories) #LI-EV1 #LI-HYBRID