GPU Performance Architect AI/ML

WHAT YOU DO AT AMD CHANGES EVERYTHING

We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world's most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.

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THE TEAM:

This team dedicated to hardware/software co-design for our datacenter GPU products, focusing on integrating lessons learned from ML and HPC applications and the ROCm software stack into the Instinct GPU products as well as related CPU, networking, and system products.

THE ROLE:

We are seeking senior engineer and architect to join our team that will thrive in a fast-paced work environment, using effective communication, problem-solving and prioritization skills. Individuals that are well organized, show great attention to detail, and employ critical thinking are well-suited for our team.The Datacenter Graphics and Accelerated Computing (DCGPU) organization is looking for an experienced GPU Based Performance Architect focused on Datacenter environments with a focus on networking systems.

KEY RESPONSIBILITIES:

• Analyze performance and programmability bottlenecks in GPU-based systems and propose updated or new hardware and software architectures
• Architect, design and guide implementation of scale-out network designs for GPU-based machine learning and high-performance computing systems
• Provide interface between hardware and software teams for operating systems, language runtimes, compilers, and network stacks
• Collect and collate feedback from software teams and their applications (both internal and external); use this information to propose future hardware changes in CPUs, GPUs, accelerators, SOCs, and network/I-O devices

KEY QUALIFICATIONS:

• Operating systems design and implementation experience, especially focused on the Linux kernel and KVM hypervisor
• Scale-out networking in the areas of high-performance computing or machine learning networking
• Hardware/software co-design, with special interest in CPU/software and GPU/software interactions
• CPU, GPU, or accelerator performance engineering

USEFUL SKILLS:

• C/C++ programming and scripting languages (such as Python)
• Kernel-space programming, especially in the Linux kernel or in Linux device drivers
• Networking APIs such as MPI
• GPGPU programming languages such as CUDA, HIP, SYCL, OpenCL, or Vulkan

ACADEMIC CREDENTIALS:

• Bachelor's or Master's in Electrical Engineer, Computer Engineering, Computer Science, or a closely related field

LOCATION:

Santa Clara, CA or Austin, TX

#LI-RL1

At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMD's Employee Stock Purchase Plan. You'll also be eligible for competitive benefits described in more detail 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.