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: In this role, you will join the organization to enable AI acceleration at scale. You will work on developing software and methodologies to optimize and realize full system performance for AI workloads on Ryzen AI PC. You will explore novel optimization techniques to accelerate the latest AI models addressing vision, language, and generative models, working with the leading engineers in AMD’s CPU, GPU, and Adaptable Compute teams. THE PERSON: The ideal candidate should be passionate about software engineering and possess leadership skills to drive sophisticated issues to resolution. Able to communicate effectively and work optimally with different teams across AMD. KEY RESPONSIBILITIES: Develop & optimize software systems for deploying AI solutions on Ryzen AI PCs Optimize Ryzen AI system-level performance for multiple concurrent current AI workloads (Vision, Generative AI, Speech) and AMD devices (CPU, GPU, NPU) Optimize AI applications for Ryzen AI acceleration Work with cross-functional teams to optimize various parts of the SW stack – AI Compiler, AI frameworks, applications, device drivers, and firmware Work with teams across AMD to specify requirements for backend libraries, compilers, quantizers and toolchains to accelerate AI models on AMD platforms PREFERRED EXPERIENCE: Strong object-oriented programming background, C/C++ preferred Ability to write high quality code with a keen attention to detail Experience with modern concurrent programming and threading APIs Experience with Windows, Linux and/or Android operating system development Experience with software development processes and tools such as debuggers, source code control systems (GitHub) and profilers Effective communication and problem-solving skills (Plus) Understanding the performance implications on AI acceleration of different compute, memory, and communication configurations and hardware and software implementation choices (Plus) Experience with AI/ML inference stacks such as ONNXRuntime (Plus) Experience with GPU acceleration with either AMD or Nvidia GPUs (Plus) Experience with CPU acceleration such as AVX ACADEMIC CREDENTIALS: Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent Location: San Jose, Ca. #LI-JT1 At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD’s Employee Stock Purchase Plan. You’ll also be eligible for competitive benefits described in more detail here. 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.