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# Senior Software Engineer, NCCL

- **Company:** NVIDIA Corporation
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $152,000.0 - $241,500.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), C++ (Programming Language), Computer Clusters, Nvidia CUDA, Computer Programming, Computer Networks, Software Debugging, Linux, InfiniBand, Tensorflow, Systems Architecture, System Software, Graphics Processing Unit (GPU), High Performance Computing, Pytorch, Deep Learning, Parallel Computation
- **Published:** August 28, 2026
- **Apply:** https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Software-Engineer--GPU-Communications-and-Networking_JR1997186

## About the Role

We are looking for a highly motivated senior software engineer for an exciting role in our communication libraries and network software team. The position will be part of a fast-paced crew that develops and maintains software for complex heterogeneous computing systems that power disruptive products in High Performance Computing and Deep Learning., * M.S./Ph.D. degree in CS/CE or equivalent experience.

 * 5+ years of relevant experience.
 * Excellent C/C++ programming and debugging skills.
 * Strong experience with Linux.
 * Expert understanding of computer system architecture and operating systems.
 * Experience with parallel programming interfaces and communication runtimes.
 * 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.
 * Experience with CUDA programming and NVIDIA GPUs.
 * Knowledge of high-performance networks like InfiniBand, iWARP etc.
 * Experience with HPC applications.
 * Experience with Deep Learning Frameworks such PyTorch, TensorFlow, etc.
 * Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic matrix environment.

## Description

* Design, implement and maintain highly-optimized communication runtimes for Deep Learning frameworks (e.g. NCCL for TensorFlow/Pytorch) and HPC programming interfaces (e.g. UCX for MPI/OpenSHMEM) on GPU clusters.
 * Participating in and contributing to parallel programming interface specifications like MPI/OpenSHMEM.
 * Design, implement and maintain system software that enables interactions among GPUs and interactions between GPUs and other system components.
 * Creating proof-of-concepts to evaluate and motivate extensions in programming models, new designs in runtimes and new features in hardware.


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