AI Software System Design Engineer

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. Together, we advance your career. THE ROLE: As an AI software system design engineer, you are responsible for full stack machine learning custom software development and solution technical support for AMD server GPU. THE PERSON: Success in this role requires knowledge of a domain expert in areas including AI distribution/framework/kernel solutions/optimizations for inferencing or training, and with strong C++/python programming. The candidate needs to have hands-on experiences with industry AI solutions, end-to-end pipeline, frameworks / SDKs and kernel development. KEY RESPONSIBILITIES: Position technical proposals and support to top customers. Provide significant contribution to customer PoC success. Drive custom requirements for AI SW, including from POC requirement to POR release, from GPU kernel to frameworks and distribution solutions. Collaborate and interact with different teams to analyze and optimize training and inference workloads and solutions Analyze competitive solutions to identify strength and weakness for articulate value propositions. Apply your knowledge of software engineering best practices PREFERRED EXPERIENCE: Ability to work independently, define project goals and scope, and lead your own development effort. Solid communication skills, in both English and mandarin. Experiences with AI frameworks(e.g. vLLM, Sglang, Megatron-LM, Deepspeed, TensorRT, TensorRT-LLM). Experience with AI distribution solutions (i.e. EP/CP/TP/PP/DP, DeepEp, DualPipe, PD aggregation etc., KV cache transfer and storage). Experiences with AI distributed network communication with multi-GPU and multi-node collective communication primitives (NCCL/RCCL), NIC/GPU drivers for RDMA/GDR and high-speed network etc. Experiences with GPU kernel primitive like FA, PA, MOE, MLA development with triton, cutlass, CUDA, CK etc. Excellent programming skills in Python, C++and software skills, including debugging and performance analysis. Knowledge of parallel programming, ideally CUDA C/C++, HIP or computer shader. Knowledge of model inference optimization process like gemm/convolution tuning, graph optimization and operator fusion. Knowledge of Linux OS/driver, CI and toolchain (profiler/DCGM) development and debugging. Knowledge of Linux DRM, HSA, ROCm KMD/UMD driver is a plus. Knowledge of compiler (triton/TVM) is a plus. ACADEMIC CREDENTIALS: Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent #LI-FL1 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.

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.

THE ROLE: As an AI software system design engineer, you are responsible for full stack machine learning custom software development and solution technical support for AMD server GPU. THE PERSON: Success in this role requires knowledge of a domain expert in areas including AI distribution/framework/kernel solutions/optimizations for inferencing or training, and with strong C++/python programming. The candidate needs to have hands-on experiences with industry AI solutions, end-to-end pipeline, frameworks / SDKs and kernel development. KEY RESPONSIBILITIES: Position technical proposals and support to top customers. Provide significant contribution to customer PoC success. Drive custom requirements for AI SW, including from POC requirement to POR release, from GPU kernel to frameworks and distribution solutions. Collaborate and interact with different teams to analyze and optimize training and inference workloads and solutions Analyze competitive solutions to identify strength and weakness for articulate value propositions. Apply your knowledge of software engineering best practices PREFERRED EXPERIENCE: Ability to work independently, define project goals and scope, and lead your own development effort. Solid communication skills, in both English and mandarin. Experiences with AI frameworks(e.g. vLLM, Sglang, Megatron-LM, Deepspeed, TensorRT, TensorRT-LLM). Experience with AI distribution solutions (i.e. EP/CP/TP/PP/DP, DeepEp, DualPipe, PD aggregation etc., KV cache transfer and storage). Experiences with AI distributed network communication with multi-GPU and multi-node collective communication primitives (NCCL/RCCL), NIC/GPU drivers for RDMA/GDR and high-speed network etc. Experiences with GPU kernel primitive like FA, PA, MOE, MLA development with triton, cutlass, CUDA, CK etc. Excellent programming skills in Python, C++and software skills, including debugging and performance analysis. Knowledge of parallel programming, ideally CUDA C/C++, HIP or computer shader. Knowledge of model inference optimization process like gemm/convolution tuning, graph optimization and operator fusion. Knowledge of Linux OS/driver, CI and toolchain (profiler/DCGM) development and debugging. Knowledge of Linux DRM, HSA, ROCm KMD/UMD driver is a plus. Knowledge of compiler (triton/TVM) is a plus. ACADEMIC CREDENTIALS: Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent #LI-FL1