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.

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AMD Research and Advanced Development (RAD) 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

WHAT YOU’LL BE DOING:

The successful candidate will be involved in work to develop machine learning (ML) inference accelerator designs targeting AMD’s AI Engine devices. The software stack enables designs, expressed using Triton to be compiled using MLIR, with a chain of intuitive IR transformations enabling efficient execution. This role plays an integral part in our long-term vision of streamlining the inference compiler workflow, enabling high-level ML models, described using Triton, to run efficiently execution on AI Engines and GPUs. The candidate will join a team developing the core transformations, driving Machine Learning applications through the toolchain, profiling the end-to-end inference speed and evaluating design tradeoffs in compute, memory, and communication implementation.  

KEY QUALIFICATIONS:

• Strong programming skills in C++ and familiarity with compiler frameworks.  
• Prior experience or understanding of MLIR-based compilers, which might include exposure to Triton, MLIR-AIR or MLIR-AIE
• Prior experience developing using hardware accelerators e.g. AMD GPUs or AI Engines.

WHAT WOULD SET YOU APART:

• An understanding of machine learning models, specifically Triton LLM models
• Strong analytical and problem-solving skills.
• Excellent communication skills, both verbal and written.
• Ability to work effectively in a collaborative, team-oriented environment.

WHO WE’RE LOOKING FOR:

• Confident in programming in C++ is required.
• Pursuing or recently completed a master’s or PhD program in Computer Science, Electrical Engineering, or a related field with a focus on computer architecture.

Location:

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

Benefits:

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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.