Neural Rendering Research Inference Engineer – Advanced Graphics Programs

OverviewWHAT 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. 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.The PersonWe are seeking an exceptional Neural Rendering Research Inference Engineer, Advanced Graphics Program who has deep technical expertise in translating neural network models and algorithms to efficient inference solutions. The ideal candidate should be passionate about the intersection of graphics and machine learning with a profound understanding of common neural network operators, their mathematical foundations and computational requirements, coupled with strong programming expertise in C++, HIP, CUDA, HLSL and GPU-related technologies. The individual should be able to effectively communicate and work optimally with different teams across AMD to create optimized inference implementations for neural rendering and generative AI applications.The RoleAMD is looking for a strategic research inference engineer who is passionate about improving the performance of key ML applications by designing, implementing and optimizing high performance GPU kernels for ML operators. You will be a member of a core team working with incredibly talented ML researchers who are path finding new technologies in real time neural graphics, inverse rendering and other ML accelerated opportunities.Key ResponsibilitiesWork with ML researchers and engineers to translate neural network models and algorithms written in PyTorch/Onnx to efficient GPU shaders using languages such as HIP, Cuda, HLSLDesign, implement and optimize high performance GPU kernels for ML operatorsWork across research, hardware, driver and compiler teams to analyze and troubleshoot performance issues, provide solutions to improve rendering speed and ML workload efficiencyStay current with latest advancements in GPU hardware, rendering techniques, graphics APIs and GPU accelerated MLContribute to the design and development of tools and methodologies for optimized shader integration to game enginesDocument and share knowledge on best practices for GPU programming (graphics and compute/ML) within the teamParticipate in code reviews and provide constructive feedback to peersPreferred ExperienceStrong object-oriented programming background, C/C++ preferredProven experience in developing and optimizing GPU kernels for machine learning workloads (e.g., using HIP, OpenCL, CUDA, HLSL)Ability to program in low level languages (x86 asm, SSE, ISA, Ptx, AMD assembly)Strong understanding of GPU architecture (compute cores, cache hierarchy, memory model), graphics APIs (DirectX, OpenGL, Vulkan, etc.), and shader programmingSolid understanding of common neural network operators, their mathematical foundations, and computational requirementsExperience with modern concurrent programming and threading APIsExperience with Windows, Linux operating system developmentExperience with software development processes and tools such as debuggers, source code control systems (GitHub) and profilers is a plusUnderstanding Machine Learning techniques and its application within graphicsEffective communication and problem-solving skillsGood interpersonal skillsAcademic CredentialsUndergrad degree required. Master’s degree or PhD in Computer Science especially Graphics and/or Machine Learning, Computer Engineering, or equivalent preferred.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