Sr. HPC Engineer - Platforms - Palo Alto, California, United States
Originally posted 28 October 2026 by the employer.
About the role
As an HPC Software Engineer, you will design, develop, and optimize HPC software solutions that leverage NVIDIA GPUs, AMD CPUs, and MPI for distributed and parallel computing. You will implement scalable architectures for HPC clusters to ensure high-performance applications run efficiently across scaled nodes.
What you'll do
- Design and implement software solutions leveraging NVIDIA GPUs and AMD CPUs to maximize computational efficiency and execution speed. - Apply MPI, CUDA, OpenMP, and other parallel computing techniques to scale applications across multi-core and multi-GPU systems. - Contribute to the design, deployment, configuration, and scaling of HPC nodes to support expanding data and compute workloads. - Implement GPU and CPU algorithms tailored for complex computations, data-intensive workloads, and multi-node scalability. - Conduct profiling, benchmarking, and bottleneck analysis across scaled environments using NVIDIA Nsight, AMD μProf, and Intel VTune. - Document code, scaling workflows, and performance metrics for technical stakeholders.
What you'll need
- Bachelor's or master's degree in Computer Science, Electrical Engineering, Computational Science, or a related field. - 3+ years of experience in HPC development focused on parallel and distributed computing, plus 5+ years of experience in scientific software development. - Proficiency in CUDA and familiarity with the NVIDIA HPC software stack, including cuDNN, NCCL, and TensorRT. - Expertise in parallel programming paradigms including MPI and OpenMP across distributed, multi-node environments. - Strong proficiency in C/C++, Python, and infrastructure automation tools such as Ansible, Terraform, or Packer. - Familiarity with profiling and performance tuning tools including NVIDIA Nsight, AMD μProf, and Intel VTune.
Nice to have
- Experience with job scheduling and resource management tools such as Slurm or PBS. - Knowledge of containerization technologies like Singularity or Docker in an HPC context. - Understanding of cloud-based HPC scaling solutions or hybrid HPC environments.
Skills: HPC, CUDA, MPI, NVIDIA GPUs, OpenMP, C++
This role has been open 0 days — well below the 55-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · GPU Software Stack
|
Open roles in category
258
|
Median days open
55 d
|
Median salary
$220k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | PsiQuantum | All employers we track in this specialty (258 roles · 19 employers) |
|---|---|---|
| Open roles in this specialty | 2 | 258 |
| Open roles in the wider Software, Firmware & Systems family | 35 | 6395 · 147 employers |
| Median days open | 31 d | 55 d (−24 d vs this employer) |
| Median salary (USD postings) | — | $220k |
Skills observed across this category: HPC, CUDA, MPI, NVIDIA GPUs, OpenMP, C++
Who's hiring in this category
- NVIDIA · 127 open roles · median 58 d
- AMD · 55 open roles · median 57 d
- Intel Corporation · 29 open roles · median 15 d
- Qualcomm · 17 open roles · median 188 d
- Arm Holdings · 8 open roles · median 1 d
- Graphcore · 4 open roles · median 8 d
How we counted: 258 open Infrastructure/Platform Software (GPU Software Stack) roles from 19 employers tracked in the SemiconductorJobs index, counted 29 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.