Creating prototypes to evaluate and motivate extensions in programming models (MPI, OpenSHMEM, PGAS), new designs in runtimes, and new features in the network hardware.
Research, design and implement features for open source HPC communication middleware (Open MPI, UCX, UCC), and Deep Learning frameworks such as TensorFlow and PyTorch.
Work with hardware architects to define the future hardware relevant for scientific applications, Deep learning, and data-intensive workloads.
Participating in and contributing to parallel programming interface specifications like MPI/OpenSHMEM.

Requirements

A PhD candidate in computer science, computer engineering, or a closely related field
Background in parallel programming models, and/or network architecture.
Background in algorithm design, system programming, and computer architecture
Strong programming and software development skills
Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

MPIOpenSHMEMPGASOpen MPIUCXUCCTensorFlowPyTorchalgorithm designsystem programming

Soft Skills

communicationflexibility

Certifications

PhD candidate