Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this 2027 PhD HPC & Sovereign AI Center of Excellence Intern/Co-op role.

Rezi rewrites your resume against Advanced Micro Devices, Inc's job description. Free.

Tailor your resume to this 2027 PhD HPC & Sovereign AI Center of Excellence Intern/Co-op role.

Rezi rewrites your resume against Advanced Micro Devices, Inc's job description. Free.

Tailor my resume

Don't guess if your resume is good enough.

See how it scores against the 2027 PhD HPC & Sovereign AI Center of Excellence Intern/Co-op posting at Advanced Micro Devices, Inc — free, in seconds.

Don't guess if your resume is good enough.

See how it scores against the 2027 PhD HPC & Sovereign AI Center of Excellence Intern/Co-op posting at Advanced Micro Devices, Inc — free, in seconds.

Get my score

About the Role

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.

Responsibilities

• 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 applications on GPU accelerated platforms.
• Assess the capabilities of development tools and runtime environments in terms of capabilities, performance, and usability.
• Explore the benefits of different code optimization techniques.
• Optimize communication patterns for HPC applications.
• Investigate how GPU development tools can be adapted to future AMD GPUs.
• Identify and measure performance capabilities across GPU families.
• Harvest reproducers using Jira/Atlassian.
• Use LLM workflows and existing Atlassian/Jira/Internal AMD AI available tools to incorporate existing bug reproducers.
• Perform a thorough study porting simple synthetic workloads and maybe proxy apps to adaptiveCPP (SYCL) and measuring performance.

Requirements

• Currently enrolled in a PhD program in Computer Science, Computational Science, Electrical/Computer Engineering, Applied Mathematics, or a related field.
• Strong background in parallel computing, distributed systems, or AI/ML frameworks.
• Proficiency in programming languages such as Python, C/C++, Fortrans or ROCm/CUDA.
• Experience with at least one deep learning framework (e.g., PyTorch, TensorFlow, JAX).
• Familiarity with MPI, OpenMP, or GPU programming.
• Solid understanding of numerical methods, optimization, or scientific computing.
• Experience with performance analysis, hot-spot identification.
• Experience developing GPU kernels, analyzing and quantifying benefits of GPU offloading.
• This role is not eligible for visa sponsorship.

Skills

• High-Performance Computing (HPC)
• Artificial Intelligence (AI)
• GPU accelerated platforms
• Development tools
• Runtime environment
• Code optimization techniques
• Communication patterns
• GPU development tools
• Performance analysis
• LLM workflows
• Atlassian/Jira
• AdaptiveCPP (SYCL)

Location

• Austin, Texas, USA

Work Type

• Full-time
• Hybrid
• Onsite

Experience Level

• PhD Intern

Education Level

• PhD

Benefits

• AMD benefits at a glance

About the Company

• 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.

Equal Opportunity

• 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.