Senior Middleware Development Engineer

Build the Future of High-Performance Computing

Join Intel's Communication Runtimes team and develop cutting‑edge software that powers the world’s most advanced supercomputers and AI systems. Work on communication libraries that enable breakthrough scientific discoveries and machine learning innovations at unprecedented scale.

• Design, develop, and maintain features and optimizations primarily focused on Intel SHMEM (Shared Memory Access) with potential to contribute to Intel MPI, MPICH, and Intel oneCCL (Collective Communications Library).
• Optimize software for exceptional performance: low latency, high bandwidth, and maximum reliability.
• Build expertise with cutting‑edge Intel GPUs and CPUs powering today’s data centers.
• Collaborate directly with scientists and engineers on the Aurora supercomputer at Argonne National Labs, making meaningful contributions that advance scientific computing and machine learning capabilities.
• Work across multiple levels of the communications stack to solve complex distributed computing challenges.
• Partner with cross‑functional teams to define software requirements and technical specifications, driving performance optimizations that push the boundaries of what’s possible in high‑performance computing.
• Contribute to software that enables breakthrough research in climate modeling, drug discovery, and AI.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, Mathematics, or a STEM‑related field and 3+ years of relevant industry, internship, or research experience.
• 3+ years of C and C++ programming experience.
• 3+ years of Linux development experience.
• Experience with multithreaded programming.
• Experience in one or more of the following:
  • Distributed computing systems
  • HPC (High‑Performance Computing) communications libraries
  • Collective communications libraries (e.g., MPI, oneCCL/NCCL, SHMEM)
  • GPU software development
  • Network communications stack development

Preferred Qualifications

• Post‑graduate degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a STEM field.
• Performance Optimization:
  Experience developing optimizations that improve communications latency or throughput.
• Advanced Debugging:
  Experience troubleshooting complex issues across multiple hardware and software stack layers.

• Scientific Impact:
  Your code will enable groundbreaking research and discoveries.
• AI Revolution:
  Power the next generation of machine learning and AI systems.

Experienced Hire | Shift 1 (United States of America). Primary location: US, Oregon, Hillsboro. Additional location: US, Texas, Austin.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by law.

• Competitive base salary, stock bonuses, and benefit programs including health insurance, retirement plans, and vacation.

This role is eligible for a hybrid work model that allows employees to split their time between working on‑site at their assigned Intel site and off‑site.

Intel complies with Responsible Business Alliance (RBA) ethics and does not charge any fees during the hiring process. No applicant is required to pay recruitment or medical examination fees.