Research Associate - PhD

RAD Research Associate

AMD Research and Advanced Development (RAD) seeks a Computer Science or Engineering graduate students to work on novel GPU and networking performance modeling of distributed scale-up/scale-out systems. The candidate must be in a Masters or PhD degree program. The projects involve investigating cutting-edge GPU and networking architectures with an emphasis on optimizing cluster-scale applications that are bounded by memory and/or communication performance. Prior experiences with ML/HPC/datacenter research, middleware and device driver development, and familiarity with ML frameworks, OpenSHMEM, or MPI programming models are preferred. Strong GPU programming skills along with familiarity with GPU performance modeling, GPU architectures and GPU performance optimization are also desired. AMD nurtures and encourages all co-ops to file quality patents and publish at top-tier research venues out of their internship projects.

AMD is a great place to continue your research and impact the industry! RAD is an organization with a strong track record of driving research innovations into AMD products. RAD is a unique industrial research laboratory that is constantly exploring and innovating new technologies. As part of RAD, you will have a role on a winning team to invent the hardware and software and technologies of next generation computing platforms driving advancement in AI, scientific computing, gaming and graphics, and embedded applications.

Research Associate - AMD Research and Advanced Development

LOCATION:
Bellevue, WA

• This role requires the scholar to work Full-Time onsite (40 hours per week; duration of program is 3 to 6 months)

WHAT YOU'LL BE DOING:
As a research associate in Research and Advanced Development, you will be part of AMD's next generation of technology innovations. You will work with diverse and talented teams. Our research associate program provides learning and career development opportunities. You will connect with leaders, receive one-on-one mentorship, and expand your career opportunities. You will collaborate with research team members to make contributions to our open-sourced libraries, academic papers, and patents.

PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS:

• Distributed systems, data center networking, high performance computing, and distributed machine learning training.
• Programmable data plane, machine learning training on GPUs and awareness of hardware/software co-design.
• Hands-on experience with C/C++, Python programming.
• Deep computer architecture understanding.
• ML frameworks such as PyTorch and/or TensorFlow.

WHO WE'RE LOOKING FOR:

• Analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of data.
• Strong problem-solving skills and attention to detail.
• Ability to work well independently and in a team environment.
• Strong passion for technology and research.
• Exceptional MSc / PhD student in Electrical Engineering or Computer Science/Engineering.

BENEFITS:
Benefits compensation range $XX.XX-$XX.XX hourly commensurate with experience
Healthcare coverage, dental and vision
Paid holidays
Relocation stipend
Education assistance for required course.

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