Senior HPC Middleware Engineer

Intel; Austin (TX); On-site; USD 150,000 - 285,000; Full time

Job summary

Intel is seeking a Senior Middleware Development Engineer to join the communication runtimes team. The role focuses on developing features and optimizations for Intel SHMEM, MPI, MPICH, and oneCCL libraries, with emphasis on low latency, high bandwidth, and reliability in high-performance computing environments.

Ideal candidates have 5+ years in C/C++ software development, Linux, and multithreaded programming, and can work across complex layers of the network stack while collaborating with

Qualifications

• Master’s degree in Computer Science or Computer Engineering.
• 5+ years in SW development.
• 5+ years of Experience developing in Linux environment.
• 5+ years of Experience in C and C++ programming.
• Experience with multithreaded programming.
• Experience with at least one of the following: Distributed computing; HPC libraries; MPI/oneCCL/NCCL/SHMEM; GPUs; network stack layers.

Responsibilities

• Design, develop, and maintain features and optimizations for Intel SHMEM, Intel MPI, MPICH, and oneCCL libraries
• Collaborate with cross-functional teams to define software requirements and specifications; Optimize software to meet performance requirements, ensuring low latency, high bandwidth and high reliability

Skills

C/C++ programming

Linux development

Multithreading

Distributed computing

HPC libraries

GPU programming

Network stack

Education

Master’s degree in Computer Science or Computer Engineering

PhD in Computer Science or Computer Engineering

Tools

MPI

SHMEM

oneCCL

MPICH

Job description

Intel is seeking a Senior Middleware Development Engineer to join the communication runtimes team. The role focuses on developing features and optimizations for Intel SHMEM, MPI, MPICH, and oneCCL libraries, with emphasis on low latency, high bandwidth, and reliability in high-performance computing environments.

Ideal candidates have 5+ years in C/C++ software development, Linux, and multithreaded programming, and can work across complex layers of the network stack while collaborating with