HW/SW Co-design Engineer, Markham

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.

We support career growth by providing learning opportunities and mentoring in an environment that rewards innovation and teamwork.

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 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 the MI line of products.

The Person You have excellent analytical and problem‑solving skills, along with attention to detail.

Key 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, firmware to architectural models to evaluate and validate ideas.

Collect and 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 hardware and software.

Preferred Experience

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 APIs 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.

Academic Credentials

Undergraduate degree required. Bachelor of Science, Masters, or PhD degree with emphasis in Electrical Engineering, Computer Architecture, or Computer Science with relevant experience preferred.

This role is not eligible for Visa sponsorship.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s "Responsible AI Policy" is available here.

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.

This posting is for an existing vacancy.

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