Software Engineer – AI/ML Platform Solutions

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. Software Engineer – AI/ML Platform Solutions THE ROLE: As a key member of the engineer team, you will bridge the gap between high-level AI frameworks and cutting-edge hardware. This role isn't just about writing code; it’s about architecting the software ecosystem that makes next-generation AI acceleration possible. THE PERSON: You are a self-motivated engineer and problem-solver who thrives on the challenge of building at the bleeding edge of AI hardware. With deep technical mastery in compiler and embedded C, you possess the rare ability to navigate complex, heterogeneous systems and bridge the gap between high-level frameworks and bare-metal runtime. You are a proactive collaborator who doesn't wait for a perfect roadmap; instead, you excel at filling the gaps of incomplete documentation and driving architectural clarity to turn ambitious AI solutions into reality. KEY RESPONSIBILITIES: Contributing to the architecture and design of the AI solutions platform. Developing Bare Metal and/or Linux runtime for AI/ML acceleration engines. Work with different teams to identify problems and create solutions Work with management team on project planning activities. PREFERRED EXPERIENCE: Hands-on MLIR/LLVM experience Expert in C and Embedded systems development of ARM SoCs. Experience in architecting, designing and implementing complex heterogenous or multi-processor system. NICE TO HAVE: Knowledge of AI/ML frameworks like Pytorch, Tensor flow, JAX, etc. Knowledge of Acceleration template library like Cutlass, DNNL etc. Knowledge of Acceleration platforms like GPU, TPU, APU, FPGAs ACADEMIC CREDENTIALS: BS or MS in Computer Engineering, or related equivalent. LOCATION: San Jose, CA This role is not eligible for visa sponsorship. #LI-GW1 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.

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.

Software Engineer – AI/ML Platform Solutions THE ROLE: As a key member of the engineer team, you will bridge the gap between high-level AI frameworks and cutting-edge hardware. This role isn't just about writing code; it’s about architecting the software ecosystem that makes next-generation AI acceleration possible. THE PERSON: You are a self-motivated engineer and problem-solver who thrives on the challenge of building at the bleeding edge of AI hardware. With deep technical mastery in compiler and embedded C, you possess the rare ability to navigate complex, heterogeneous systems and bridge the gap between high-level frameworks and bare-metal runtime. You are a proactive collaborator who doesn't wait for a perfect roadmap; instead, you excel at filling the gaps of incomplete documentation and driving architectural clarity to turn ambitious AI solutions into reality. KEY RESPONSIBILITIES: Contributing to the architecture and design of the AI solutions platform. Developing Bare Metal and/or Linux runtime for AI/ML acceleration engines. Work with different teams to identify problems and create solutions Work with management team on project planning activities. PREFERRED EXPERIENCE: Hands-on MLIR/LLVM experience Expert in C and Embedded systems development of ARM SoCs. Experience in architecting, designing and implementing complex heterogenous or multi-processor system. NICE TO HAVE: Knowledge of AI/ML frameworks like Pytorch, Tensor flow, JAX, etc. Knowledge of Acceleration template library like Cutlass, DNNL etc. Knowledge of Acceleration platforms like GPU, TPU, APU, FPGAs ACADEMIC CREDENTIALS: BS or MS in Computer Engineering, or related equivalent. LOCATION: San Jose, CA This role is not eligible for visa sponsorship. #LI-GW1