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AMD
Austin, Texas
Source: AMD careers · View original posting
From AMD's posting. “We” and “our” refer to the employer.
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.
Austin, Texas, USA
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
Spring/Summer Co-op
: January 25, 2027 - August 13, 2027
Semester Students: May 24, 2027 - August 13, 2027
Quarter Students: June 21, 2027 - September 10, 2027
Semester Students: May 24, 2027 - December 10, 2027
Quarter Students: June 21, 2027 - December 10, 2027
We are seeking a motivated PhD intern to join our research team working at the intersection of High-Performance Computing (HPC) and Artificial Intelligence (AI). In this role, you will contribute to cutting-edge projects aimed at optimizing AI workloads for large-scale computing environments, developing novel algorithms, or exploring the integration of AI techniques to enhance HPC applications.
Build, run, and analyze performance of benchmarks and application on GPU accelerated platforms.
Assess the capabilities of development tools and runtime environment in terms of capabilities, performance, and usability.
Explore the benefits of different code optimization techniques
Example projects include:
This role is not eligible for visa sponsorship.
Austin, Texas, USA
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
Spring/Summer Co-op
: January 25, 2027 - August 13, 2027
Semester Students: May 24, 2027 - August 13, 2027
Quarter Students: June 21, 2027 - September 10, 2027
Semester Students: May 24, 2027 - December 10, 2027
Quarter Students: June 21, 2027 - December 10, 2027
We are seeking a motivated PhD intern to join our research team working at the intersection of High-Performance Computing (HPC) and Artificial Intelligence (AI). In this role, you will contribute to cutting-edge projects aimed at optimizing AI workloads for large-scale computing environments, developing novel algorithms, or exploring the integration of AI techniques to enhance HPC applications.
Build, run, and analyze performance of benchmarks and application on GPU accelerated platforms.
Assess the capabilities of development tools and runtime environment in terms of capabilities, performance, and usability.
Explore the benefits of different code optimization techniques
Example projects include:
This role is not eligible for visa sponsorship.
Applies when submitting through the employer's application site.
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.
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.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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