Nvidia Senior Software Engineer - High Performance Computing 

Switzerland, Vaud 

801826313

What you will be doing:

• Creating proof-of-concepts 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 HPC communication middleware (Open MPI, UCX, UCC), and Deep Learning frameworks such as TensorFlow/PyTorch.

• Participating in and contributing to parallel programming interface specifications like MPI/OpenSHMEM.

• Research, design and develop hardware features relevant for scientific, Deep learning, and data-intensive workloads.

What we need to see:

• Ph.D., in computer science, computer engineering, or a closely related field (or equivalent experience).

• 2+ years of experience in parallel programming models, and/or network architecture.

• Strong programming and software development skills, minimum 4 years of programming experience is required

• 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.

Ways to stand out from the crowd:

• Deep understanding of technology and passionate about what you do.

• Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic environment.

• Previous experience in ONE or more of the following areas:

• Experience designing communication middleware for high-performance computing systems, including InfiniBand, DPUs, Ethernet, and Shared Memory;

• Background with implementing communications libraries, particularly MPI, OpenSHMEM, or PGAS;

• Programming models for emerging architectures including hierarchical heterogeneous memory systems and accelerators.