Originally posted 21 September 2026 by the employer.
About the role
This PhD internship/co-op involves contributing to projects optimizing AI workloads for large-scale computing environments or integrating AI techniques to enhance High-Performance Computing (HPC) applications.
What you'll do
- Assess capabilities of development tools and runtime environments.
- Explore 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.
What you'll need
- 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++, 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 and hot-spot identification.
- Experience developing GPU kernels, analyzing and quantifying benefits of GPU offloading.
Skills: High-Performance Computing, AI workloads, GPU accelerated platforms, deep learning framework, ROCm/CUDA
This role has been open 20 days — well below the 53-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · Infrastructure Platform
|
Open roles in category
923
|
Median days open
53 d
|
Median salary
$229k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | AMD | All employers we track in this specialty (923 roles · 86 employers) |
|---|---|---|
| Open roles in this specialty | 51 | 923 |
| Open roles in the wider Software, Firmware & Systems family | 407 | 6028 · 146 employers |
| Median days open | 31 d | 53 d (−22 d vs this employer) |
| Median salary (USD postings) | — | $229k |
Skills observed across this category: High-Performance Computing, AI workloads, GPU accelerated platforms, deep learning framework, ROCm/CUDA
Who's hiring in this category
- NVIDIA · 255 open roles · median 48 d
- Qualcomm · 60 open roles · median 60 d
- AMD (this employer) · 51 open roles · median 30 d
- Graphcore · 44 open roles · median 86 d
- Cerebras · 39 open roles · median 76 d
- Intel Corporation · 36 open roles · median 15 d
How we counted: 923 open Infrastructure/Platform Software (Infrastructure Platform) roles from 86 employers tracked in the SemiconductorJobs index, counted 11 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.