GPU Software Engineer

Overview 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. The Role We are looking for a GPU application engineer to enable AMD GPU acceleration through HIP for applications that currently use CUDA backends, or that require a new HIP-based backend. The Person The ideal candidate is a highly self-driven GPU application engineer who can be productive from day one within a complex, performance-critical codebase. You have hands-on experience developing and optimizing mature CUDA-based applications, and you bring a pragmatic, engineering-first mindset: knowing when to chase peak performance and when to favor clarity, portability, and long-term maintainability. You work independently, stay organized while driving multiple parallel efforts, and communicate clearly with cross-functional teams, application developers, and stakeholders. Key Responsibilities Port CUDA-based GPU code to HIP, including kernels, runtime logic, and build systems Design and implement HIP backends for applications without existing AMD GPU support Enable and integrate HIP ray tracing (HIPRT) where applicable Optimize GPU kernels and application pipelines for AMD GPU architectures Debug correctness, performance, and stability issues in application-level GPU code Work with profiling tools to identify and resolve bottlenecks Collaborate with internal compiler/runtime teams to escalate lower-level issues when needed Maintain clean, portable GPU code across vendors Preferred Qualifications Advanced software development experience, with significant experience in GPU programming Strong C/C++ programming skills Hands-on experience with CUDA (kernel development, memory management, streams/events) Experience developing GPU-accelerated applications Solid understanding of GPU programming fundamentals Strong debugging skills for GPU kernels and application pipelines Experience developing on Linux Experience with HIP and ROCm Experience porting CUDA code to HIP (manual or hipify-based) Familiarity with HIPRT or GPU ray tracing concepts Experience with GPU profiling tools Experience working in large, multi-backend codebases Familiarity with NVIDIA OptiX or similar GPU ray tracing APIs Academic Credentials Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent Locations Austin, TX. or Boxborough, MA. This role is not eligible for visa sponsorship. 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. #J-18808-Ljbffr AMD