Senior Staff Software Development Engineer

Senior Staff Software Engineer At AMD, we believe technology can change lives for the better. It can heal us, entertain us, and make us more connected, productive, and understanding of the world around us. And we're looking for talent who feel the same: people who want to leave the planet better than they found it, those who don't shy away from humanity's challenges but are determined to help solve them. AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI. Whether you're designing next-gen processors, enabling AI breakthroughs, or creating go-to-market plans, every role at AMD contributes to something bigger — technology that moves the world forward. AMD is looking for a senior staff software engineer to join our growing team. As a key contributor you will be part of a leading team to drive and enhance AMD's abilities to deliver the highest quality, industry-leading technologies to market. The ideal candidate possesses an innovative and problem-solving mindset, has a keen eye for software engineering development, and is diligent and passionate about technology. A successful candidate will need to employ strong knowledge in computer technologies, leadership skills in technical areas, and SW engineering expertise as well as a strong ability to compete effectively in a fast-paced, relevant environment while working with different teams of engineers and collaborators. Key Responsibilities: Design and implement compiler optimizations using LLVM and/or MLIR targeting GPU architectures Develop and optimize GPU kernels using CUDA, HIP, or similar parallel programming models Analyze application performance, identify bottlenecks, and deliver end-to-end performance improvements across the stack Collaborate with architecture, runtime, and framework teams to enable new hardware features and improve efficiency Build tooling and methodologies for profiling, benchmarking, and performance analysis on GPU systems Contribute to compiler code generation, IR transformations, and kernel scheduling to maximize hardware utilization Preferred Qualifications: Experience with ML workloads, AI frameworks, or HPC systems Familiarity with GPU kernel generation, memory hierarchy optimization, and low-level performance tuning Experience working across hardware/software co-design and influencing architecture decisions Strong understanding of GPU architecture and parallel computing concepts Proficiency in C/C++ with experience in CUDA, HIP, or equivalent GPU programming models Hands-on experience with compiler technologies (LLVM, MLIR, or similar) Experience in performance analysis, profiling, and optimization of compute-intensive workloads Solid understanding of compiler design, optimization techniques, and code generation Academic Credentials: Bachelor's or Master's degree in Computer/Software Engineering, Computer Science, or related technical discipline Location: San Jose, California This role is not eligible for visa sponsorship.