Develop cutting-edge software features and optimizations for Intel's communication libraries including libfabric, oneCCL, ISHMEM, and Intel MPI.
Contribute to communication library development and performance engineering.
Foster an inclusive environment for team members to contribute their best work.

Bachelor’s degree in computer science, Electrical Engineering/ Electronics Engineering, Computer Engineering, Math, or in a STEM related field of study with 3+ years of experience
3+ years of experience with: Strong C and C++ programming/development and debugging skills.
Development in Linux environments.
Ph.D degree in Computer Science, Computer Engineering, or related field (Preferred)
Experience developing performance optimizations that improve communications latency or throughput (Preferred)
Experience debugging problems at different layers of the hardware and software stack (Preferred)
Demonstrated upstream contributions and experience developing in an open-source environment (Preferred)
Track record of delivering complex technical projects independently (Preferred)
Experience collaborating with a diverse, distributed team (Preferred)
Experience with at least one or more of the following: Distributed computing, HPC communications libraries, Collective communication libraries, Developing software for GPUs, Developing software for one or more layers of the network communications stack: RDMA, RoCE, TCP/IP, Experience with GPU programming and parallel computing, Experience with multithreaded programming, Experience with networking software stack, Hands-on experience with RDMA networking (InfiniBand and/or RoCE) and userspace RDMA APIs, Performance engineering with running benchmarks and workload analysis.

Inclusive team culture with employee resource groups.
Opportunities to expand expertise across different communication libraries.
Opportunity to build expertise with latest Intel GPUs and CPUs used in data centers.
Mentorship opportunities both as a mentor and mentee.
Career growth support and clear advancement paths.
Competitive compensation and comprehensive benefits.
Collaborative environment which contributes directly to the improvement of the upstream projects.

GPU Software Engineer

Key skills