Lead GPU Machine Learning & HPC Architect

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.

RTG (Radeon Technologies Group) Architecture team in Folsom, CA is passionate about developing next‑generation GPU solutions. As a Lead GPU Machine Learning & HPC Architect, you will collaborate with a strong architecture and design team on developing next‑generation products for data centers and super‑computers. You will engage in architecture exploration, modeling and analysis of ML / HPC workloads. Through your experiments and analysis, you will provide valuable insight into new and emerging hardware and software technologies and MI line of products.

You have excellent analytical and problem‑solving skills, along with attention to detail. You are an effective team player who focuses on collaboration, team building, mentoring, and furthering team success. You have strong communication, time management, and presentation skills.

• Communicate and collaborate with a network of experienced architects and designers around the world.
• Identify complex technical problems, break them down, and summarize possible solutions.
• Work with architects to propose innovative solutions that can be implemented in HW, validated by developing various models/simulators.
• Collect and summarize data or simulation results for consumption by architects and design teams.

• Knowledge in GPU architectures, basic knowledge of CPU architecture.
• Background in Network‑on‑Chip (NoC) design and interconnect systems.
• Experience in machine learning (ML) networks including Tensor Flow and PyTorch.
• Understanding of Graphics and Compute APIs such as CUDA, OpenCL, and Vulkan.
• 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 System
  
  C.

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

#LI-BM1 #LI-Hybrid

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.