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 AICE Software System Design Engineer, you will be responsible for the custom development, debugging, optimization, and technical support of machine learning software for AMD server GPUs.   THE PERSON: Success in this role requires expert knowledge in machine learning areas such as runtime (HIP/CUDA), Linux OS and driver (GPU UMD/KMD), kernel operator, frameworks, compiler, performance optimization for inference or training, along with strong programming skills in C++ and Python.

Candidates must also have hands-on experience with industry AI use scenarios, solutions, end-to-end pipelines, frameworks or SDKs, and strong debugging and development skillsets.   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.

Excellent ROCm/CUDA runtime and Linux GPU KMD/UMD driver (DRM/HSA) and OS development and debugging.

Excellent programming skills in Python, C++and software skills, including debugging and performance analysis.

Experiences with parallel programming, ideally CUDA C/C++, HIP or computer shader.

Experiences with software automation and toolchain (profiler/DCGM) development and debugging.

Knowledge of model inference optimization process like gemm/convolution tuning, graph optimization and operator fusion.

Knowledge of AI frameworks(e.g. vLLM, Sglang, Megatron-LM, Deepspeed, TensorRT, TensorRT-LLM).

Knowledge of AI distribution solutions (i.e. EP/CP/TP/PP/DP, Deep Ep, Dual Pipe, PD aggregation etc., KV cache transfer and storage).

Knowledge of 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.

Knowledge of GPU kernel primitive like FA, PA, MOE, MLA development with triton, cutlass, CUDA, CK etc.   ACADEMIC CREDENTIALS:  Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent

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 AICE Software System Design Engineer, you will be responsible for the custom development, debugging, optimization, and technical support of machine learning software for AMD server GPUs.   THE PERSON: Success in this role requires expert knowledge in machine learning areas such as runtime (HIP/CUDA), Linux OS and driver (GPU UMD/KMD), kernel operator, frameworks, compiler, performance optimization for inference or training, along with strong programming skills in C++ and Python.

Candidates must also have hands-on experience with industry AI use scenarios, solutions, end-to-end pipelines, frameworks or SDKs, and strong debugging and development skillsets.   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.

Excellent ROCm/CUDA runtime and Linux GPU KMD/UMD driver (DRM/HSA) and OS development and debugging.

Excellent programming skills in Python, C++and software skills, including debugging and performance analysis.

Experiences with parallel programming, ideally CUDA C/C++, HIP or computer shader.

Experiences with software automation and toolchain (profiler/DCGM) development and debugging.

Knowledge of model inference optimization process like gemm/convolution tuning, graph optimization and operator fusion.

Knowledge of AI frameworks(e.g. vLLM, Sglang, Megatron-LM, Deepspeed, TensorRT, TensorRT-LLM).

Knowledge of AI distribution solutions (i.e. EP/CP/TP/PP/DP, Deep Ep, Dual Pipe, PD aggregation etc., KV cache transfer and storage).

Knowledge of 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.

Knowledge of GPU kernel primitive like FA, PA, MOE, MLA development with triton, cutlass, CUDA, CK etc.   ACADEMIC CREDENTIALS:  Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent

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.