Senior HPC Architect: Scalable GPU Clusters

PsiQuantum; Palo Alto (CA); Presencial; USD 150 000 - 210 000; Tempo integral

Resumo da oferta

PsiQuantum, based in Palo Alto, is building large-scale quantum-enabled HPC systems and software. As an HPC Software Engineer, you will design, develop, and optimize HPC software that runs on NVIDIA GPUs, AMD CPUs, and MPI, focusing on performance and scalability for multi-node clusters.

You will apply CUDA/OpenMP parallelism, profile and tune code with Nsight/NCCL and VTune, and collaborate with scientists, IT teams, and partners to deliver high-performance solutions for demanding research

Qualificações

• Education: Bachelor's or master's degree in computer science, Electrical Engineering, Computational Science, or a related field.
• 3+ years of experience in HPC development, with a focus on parallel and distributed computing, and experience with scalable systems.
• 5+ years previous experience in scientific software development.

Responsabilidades

• Develop and optimize HPC software using NVIDIA GPUs and AMD CPUs for maximum efficiency.
• Apply MPI, CUDA, OpenMP, and other parallel techniques to scale applications on multi-core, multi-GPU systems.
• Design, deploy, and scale HPC clusters to meet data and compute demands.
• Identify and implement algorithms for GPU/CPU computing with scalable performance as nodes increase.
• Profile and benchmark HPC applications across scaled environments using Nsight, μProf, and VTune.
• Collaborate with scientists, engineers, and IT staff to ensure optimized, scalable HPC applications.
• Document code and scaling processes; report performance metrics to stakeholders.

Conhecimentos

CUDA programming

MPI

OpenMP

C/C++

Python

IaC (Ansible/Terraform/Packer)

Formação académica

Bachelor's degree

Master's degree

Ferramentas

NVIDIA Nsight

AMD μProf

Intel VTune

Singularity/Docker (HPC)

Slurm/PBS

Descrição da oferta de emprego

PsiQuantum, based in Palo Alto, is building large-scale quantum-enabled HPC systems and software. As an HPC Software Engineer, you will design, develop, and optimize HPC software that runs on NVIDIA GPUs, AMD CPUs, and MPI, focusing on performance and scalability for multi-node clusters.

You will apply CUDA/OpenMP parallelism, profile and tune code with Nsight/NCCL and VTune, and collaborate with scientists, IT teams, and partners to deliver high-performance solutions for demanding research