Senior Staff Compiler Software Engineer

PREFERRED QUALIFICATIONS

ACADEMIC CREDENTIALS

Qualifications

• 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.

Responsibilities

• THE ROLE AMD is seeking a Senior Staff Software Engineer to lead compiler development and GPU performance optimization for next-generation AI and compute platforms. You will design compiler technologies using MLIR and LLVM, develop optimized code-generation flows, and work closely with GPU architecture, runtime, and AI framework teams to deliver industry-leading performance. THE PERSON The ideal candidate is an experienced technical leader with deep expertise in compiler design, GPU architecture, and performance optimization. You can work across the full compiler stack—from high-level graph and tensor transformations to low-level GPU code generation and kernel tuning. You are comfortable solving complex system problems, influencing technical direction across teams, and applying AI-assisted tools to improve compiler engineering. KEY RESPONSIBILITIES - Design and implement compiler optimizations using MLIR and LLVM for GPU and AI workloads. - Develop compiler passes, intermediate representations, lowering pipelines, and target-specific code generation. - Optimize graph transformations, operator fusion, tiling, vectorization, memory planning, and kernel scheduling. - Analyze generated GPU code and tune kernels for compute utilization, memory bandwidth, cache efficiency, occupancy, and synchronization. - Perform end-to-end performance analysis across AI frameworks, compilers, runtimes, libraries, and GPU hardware. - Collaborate with GPU architecture teams to enable new hardware features and drive hardware-software co-design. - Build profiling, benchmarking, autotuning, and performance-regression infrastructure. - Apply AI and coding agents to compiler development, kernel optimization, debugging, test generation, and performance analysis. - Provide technical leadership, drive architecture decisions, and mentor engineers across compiler and GPU projects. PREFERRED QUALIFICATIONS - Deep hands-on experience with MLIR, LLVM,