2027 PhD HPC & Sovereign AI Center of Excellence Intern/Co-op
Austin, TX$91.5k - $137.3kUNAVAILABLEPosted 4w ago
About the role
PhD intern/co-op position at AMD focused on high-performance computing (HPC) and AI, developing algorithms, optimizing AI workloads on GPU-accelerated platforms, and exploring integration of AI techniques into HPC applications. Onsite, full-time term in Austin, TX.
Responsibilities
- 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: 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.; Use LLM workflows and existing AMD AI tools to incorporate bug reproducers; Perform a thorough study porting simple synthetic workloads to adaptiveCPP (SYCL) and measuring performance.
Qualifications
- 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 Python, C/C++, Fortran 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.
Skills
Required:Parallel computingGPU programmingProgramming languagesDeep learning frameworksMPI/OpenMP
Benefits
- AMD benefits at a glance (as described in posting)
Last updated Oct 15, 2026. Interested? Apply on the company site.
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