Santa Clara, United States Role overview
About this role
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
- We will involve you in understanding AI/ML workloads, collective communication patterns, and cloud networking use cases, and applying those insights to develop realistic network traffic models.
- You will design and simulate networking algorithms and architectural models for large-scale cloud and AI/ML infrastructure networks.
- Your responsibilities will include identifying architecture, functionality, and performance challenges through simulation, analysis, and modeling.
- We will partner with you to evaluate performance versus complexity tradeoffs and explore networking solutions that can be incorporated into future AMD products.
- You will work closely with experienced engineers and receive mentorship while gaining hands-on exposure to data center and AI networking technologies.
- Currently enrolled at a U.S.-based university pursuing a Ph.D. or advanced M.S. degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- Strong background in network simulation frameworks such as ns-3 or OMNeT++.
- Knowledge of networking architecture and algorithm design.
- Experience with P4 programming and programmable networking concepts.
- Interest in data center, cloud, or AI/ML networking technologies.
- Experience with software development tools and workflows, including debuggers, GitHub, source code control systems, and performance profilers is a plus.
- Familiarity with networking product validation or system testing is a plus.
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 our intern opportunities, a recruiter will contact you.
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.
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’ 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.
Responsibilities
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
- We will involve you in understanding AI/ML workloads, collective communication patterns, and cloud networking use cases, and applying those insights to develop realistic network traffic models.
- You will design and simulate networking algorithms and architectural models for large-scale cloud and AI/ML infrastructure networks.
- Your responsibilities will include identifying architecture, functionality, and performance challenges through simulation, analysis, and modeling.
- We will partner with you to evaluate performance versus complexity tradeoffs and explore networking solutions that can be incorporated into future AMD products.
- You will work closely with experienced engineers and receive mentorship while gaining hands-on exposure to data center and AI networking technologies.
- Currently enrolled at a U.S.-based university pursuing a Ph.D. or advanced M.S. degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- Strong background in network simulation frameworks such as ns-3 or OMNeT++.
- Knowledge of networking architecture and algorithm design.
- Experience with P4 programming and programmable networking concepts.
- Interest in data center, cloud, or AI/ML networking technologies.
- Experience with software development tools and workflows, including debuggers, GitHub, source code control systems, and performance profilers is a plus.
- Familiarity with networking product validation or system testing is a plus.
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 our intern opportunities, a recruiter will contact you.
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