Senior HPC Software Engineer - GPU/Cluster Scaling

PSI Quantum; Palo Alto (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

PsiQuantum is seeking an HPC Software Engineer to design, develop, and optimize HPC software leveraging NVIDIA GPUs, AMD CPUs, and MPI for distributed and parallel computing. The role focuses on scalable algorithms, GPU/CPU optimization, and building HPC clusters that scale with workload demands.

The candidate will work with scientists, engineers, and IT staff, using tools like Nsight, VTune, and OpenMP to ensure high performance and portability across hardware.

Qualifications

• 3+ years in HPC development focusing on parallel and distributed computing.
• 5+ years of experience in scientific software development.
• Proficiency in C/C++, Python, and GPU programming.

Responsibilities

• Develop and optimize HPC software for NVIDIA GPUs and AMD CPUs.
• Apply MPI, CUDA, OpenMP to scale applications on multi-core and multi-GPU systems.
• Design, deploy, and scale HPC clusters and manage node configurations.
• Profile and benchmark HPC applications using Nsight, VTune, etc.
• Collaborate with scientists, engineers, and IT to ensure scalable solutions.
• Document code and performance results for stakeholders.

Skills

CUDA

MPI

OpenMP

Python

C/C++

Ansible

Terraform

Packer

Education

Bachelor's or Master's in CS/EE/Computational Science

Tools

NVIDIA Nsight

AMD Prof

Intel VTune

Job description

PsiQuantum is seeking an HPC Software Engineer to design, develop, and optimize HPC software leveraging NVIDIA GPUs, AMD CPUs, and MPI for distributed and parallel computing. The role focuses on scalable algorithms, GPU/CPU optimization, and building HPC clusters that scale with workload demands.

The candidate will work with scientists, engineers, and IT staff, using tools like Nsight, VTune, and OpenMP to ensure high performance and portability across hardware.