2027 PhD Research Engineering Intern/Co-op
At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future. As an AMD intern and co-op, you’ll be placed at the epicenter of the AI ecosystem, working alongside experts and industry pioneers on projects that impact millions of end-users worldwide.
About the role
AMD Research is an entrepreneurial research organization with a strong background of driving research innovations into AMD products. We are seeking a highly motivated Research Engineering intern/co-op to join our team. In this role, you will:
- Invent the hardware and software technologies of next-generation computing platforms
- Contribute to an environment that directly impacts product roadmaps and helps build future products
- Take on responsibilities that enable product development and improve performance and efficiency
Schedule
This role requires full-time work (40 hours a week) in either a hybrid or onsite work structure throughout the duration of the co-op/intern term.
- Spring/Summer Co-op: January 25, 2027 - August 13, 2027
- Summer Internship (Semester Students): May 24, 2027 - August 13, 2027
- Summer Internship (Quarter Students): June 21, 2027 - September 10, 2027
- Summer/Fall Co-op (Semester Students): May 24, 2027 - December 10, 2027
- Summer/Fall Co-op (Quarter Students): June 21, 2027 - December 10, 2027
Locations: Austin, TX; Boxborough, MA; Fort Collins, CO; Longmont, CO; Fishkill, NY; Rochester, NY; Secaucus, NJ
Requirements
- Currently enrolled in a US-based University in a PhD program majoring in Computer Science, Computer Engineering, Electrical Engineering, or a related field
- This role is not eligible for visa sponsorship
Skills
If you have knowledge or experience with any of the following technical skills (or related areas) and are enthusiastic about this role, we strongly encourage you to apply:
- C/C++, Verilog HDL, Python, P4, ML frameworks, Java, MATLAB, Go
- Research experience and publications in related areas (e.g., computing systems, networking, hardware/software co-design, machine learning)
- FPGA or ASIC-based RTL design and verification, FPGA deployment and programming, FPGA-based acceleration of cloud applications, programmable data plane, machine learning training on GPUs
- Distributed systems, data center networking, high-performance computing, and distributed machine learning training
- ML frameworks such as PyTorch and/or TensorFlow
Benefits
For details on benefits offered, visit AMD benefits at a glance.