Job Description

Overview:
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 \xe2\x80\x93 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\xe2\x80\x99s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. This is who we are at our best. One Company. One Team.


AMD together we advance_ Responsibilities:
THE TEAM
We are part of the CTO organization in AMD, and focus on innovation, differentiation, and the de-risking of technology in future systems and products. Our technical focus is to research and evaluate next-generation networking solutions for AI and machine learning, data center networking and heterogenous computing, among others. Our work spans research and development in both hardware and software aspects of future systems.


THE ROLE
We are looking for top-tier interns who can participate in various aspects of a system design including but not limited to architecture specification, RTL design, verification, simulators, hands-on FPGA deployment, design space exploration, and software stacks. We expect to have a practical focus for the internship involving systems comprised of CPUs, GPUs, network-attached and/or PCIe-attached FPGAs and SmartNICs. The intern may also be expected to leverage Heterogenous Adaptive Compute Cluster (HACC) at NUS Singapore, which is equipped with the latest hardware including high-end servers with AMD CPUs and GPUs, Alveo accelerator cards and high-speed networking.


PREFFERED EXPERIENCE
Candidates with strong experience in FPGA or ASIC-based RTL design and verification, experience with FPGA deployment and programming, FPGA based acceleration of cloud applications, programmable data plane, machine learning training on GPUs and awareness of hardware/software co-design should apply.
Strong hands-on coding skills, e.g., C/C++, Verilog HDL, Python, P4, ML frameworks, etc.
Knowledge of distributed systems, data center networking, high performance computing, and distributed machine learning training is valuable.
Research experience and publications in related areas (e.g., computing systems, networking, hardware/software co-design, machine learning) are welcome.

#LI-ML5

Qualifications:
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\xe2\x80\x99 needs under the respective laws throughout all stages of the recruitment and selection process.