2027 PhD Research Engineering Intern/Co-op

AMD; San Jose (CA); Hybrid; USD 20,000 - 60,000; Full time

Job summary

AMD is seeking a PhD student for an internship/co-op in San Jose, CA. You will work on hardware and software technologies for next‑generation computing platforms, with emphasis on accelerating AI workloads and enabling efficient data center solutions.

You will be trained to contribute to product roadmaps, collaborate with engineering teams, and take on responsibilities that advance AMD’s future products while gaining real‑world experience in a leading tech company.

Qualifications

• Enrolled in a US university PhD program in CS/CE/EE or related field.
• Knowledge of C/C++ and HDL languages (Verilog or VHDL) and ML frameworks.
• Interest in hardware/software co-design, FPGA/ASIC acceleration and distributed computing.

Responsibilities

• Train and enable the invention of next‑gen computing hardware and software platforms.
• Contribute to roadmaps and help build future AMD products.
• Support product development by improving performance and efficiency.

Skills

C/C++

Verilog HDL

Python

P4

ML frameworks

Java

MATLAB

Go

Education

PhD program in Computer Science/Computer Engineering/Electrical Engineering or related field

Tools

FPGA RTL design

Job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD. 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.

ADVANCE YOUR CAREER. ADVANCE THE WORLD. 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.

Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career.

As an AMD intern and co‑op, you’ll be placed at the epicenter of the AI ecosystem, working alongside experts and industry pioneers. You’ll do important work, learn new skills, expand your network, and gain real‑world experience on projects that impact millions of end‑users worldwide. Whether you’re an undergrad or a PhD student, your contributions matter—and your experience here will be a launchpad for what comes next.

Job Details

• Location: San Jose, CA or Santa Clara, CA
• Onsite/Hybrid: This role requires the student to work full time (40 hours a week), in either a hybrid or onsite work structure throughout the duration of the co‑op/intern term
• Duration:
  • Spring/Summer Co‑op: January 25, 2027 - August 13, 2027
  • Summer Internship:
    • Semester Students: May 24, 2027 - August 13, 2027
    • Quarter Students: June 21, 2027 - September 10, 2027
  • Summer/Fall Co‑op:
    • Semester Students: May 24, 2027 - December 10, 2027
    • Quarter Students: June 21, 2027 - December 10, 2027

What You Will Be Doing

• We will train and enable you to invent the hardware and software technologies of next generation computing platforms
• We will encourage you to contribute to an environment that has the potential to directly impact product roadmaps and to help build our future products
• We will assign responsibilities that will enable product development and help improve their performance and efficiency

Who We Are Looking For

• You are currently enrolled in a US based University in a PhD program majoring in Computer Science, Computer Engineering, Electrical Engineering or a related field
• 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, /C++, 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

Note

By submitting your application, you are indicating your interest in AMD intern positions. We are recruiting for multiple positions, and if your experience aligns with any of intern opportunities, a recruiter will contact you.

This role is not eligible for visa sponsorship.

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’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.