MTS Silicon Design Engineer

Advanced Micro Devices, Inc•Santa Clara, CA

11h

About The Position

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: RTG (Radeon Technologies Group) Architecture team is passionate about developing next-generation GPU solutions. As HW/SW co-design engineer, you will collaborate with a strong architecture, software, and design teams on developing next generation products for data centers and super-computers. You will engage in architecture exploration, kernel prototyping, modeling, and analysis of ML/HPC workloads. Through your prototyping, experiments and analysis, you will provide valuable insight into new and emerging hardware and software technologies and MI line of products. THE PERSON: You have excellent analytical and problem-solving skills, along with attention to detail.

Requirements

Excellent analytical and problem-solving skills, along with attention to detail.
Undergrad degree required.
Bachelor of Science, Masters, or PhD degree with emphasis in Electrical Engineering, Computer architecture, or Computer Science with relevant experience preferred
Bachelors or Masters degree in computer engineering/Electrical Engineering
This role is not eligible for visa sponsorship.

Nice To Haves

Knowledge in GPU architectures, basic knowledge of CPU architecture
Experience in machine learning (ML) networks including TensorFlow and PyTorch
Experience in building libraries for key ML operators (e.g., GEMMs, Attention, Collectives).
Understanding of Graphics and Compute API's such as CUDA, OpenCL, and Vulkan
Experience in the compiler stack (graph compilers, MLIR, LLVM, .. etc).
Background in Network-on-Chip (NoC) design and interconnect systems
Experience with operating systems (OS) and device driver development is a plus
Strong programming foundation in C, C++, and scripting languages (Python, etc.)
Experience in hardware modeling and design using RTL or SystemC

Responsibilities

Write and optimize GPU kernels at different levels of abstractions (assembly, Hip, Triton, .. etc).
Write microbenchmarks that can be used for competitive analysis and performance verification.
Prototype ideas across the stack from software, and firmware to architectural models to evaluate and validate ideas.
Collect/summarize data and simulation results for consumption by architects and design teams
Work with architects to propose innovative solutions that can be implemented in next generation HW and SW.