UCX
UCX

60 Ucx Jobs Hiring Near You

Duties & Responsibilities: * Review and revise, as needed, all reported mill claims that fall under manufacturer's warranties. * Process mill defect claims by submitting a complete claim form ...

About the Role: The Warehouse Counter Sales position is a critical role responsible for providing exceptional customer service and support at the warehouse sales counter. The primary goal is to ...

Senior Software Engineer, NCCL

Santa Clara, CA · On-site

$143K - $189K/yr

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 ...

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Infographic showing various job openings at Ucx in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Physical job distribution.
Senior Software Architect - Deep Learning and HPC Communications

Senior Software Architect - Deep Learning and HPC Communications

Nvidia

Westford, MA

$134K - $182K/yr

Full-time

Posted 10 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

5th of 215 rated software companies


Job description

NVIDIA is leading groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU -- our invention -- serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables groundbreaking creativity and discovery, and powers inventions that were once considered science fiction, including artificial intelligence to autonomous cars. We are the GPU Communications Libraries and Networking team at NVIDIA. We build communication libraries like NCCL, NVSHMEM, and UCX that are crucial for scaling Deep Learning and HPC. We're seeking a Senior Software Architect to help co-design next-gen data center platforms and scalable communications software.

DL and HPC applications have a huge compute demands and already run at scales of up to tens of thousands of GPUs. GPUs are connected with high-speed interconnects (e.g. NVLink, PCIe) within a node and with high-speed networking (e.g. InfiniBand, Ethernet) across nodes. Efficient and fast communication between GPUs directly impacts end-to-end application performance. This impact continues to grow with the increasing scale of next generation systems. This is an outstanding opportunity to advance the state-of-the-art, break performance barriers, and deliver platforms the world has never seen before. Are you ready to build the new and innovative technologies that will help realize NVIDIA's vision?

What you will be doing:

  • Investigate opportunities to improve communication performance by identifying bottlenecks in today's systems.

  • Design and implement new communication technologies to accelerate AI and HPC workloads.

  • Explore innovative solutions in HW and SW for our next generation platforms as part of co-design efforts involving GPU, Networking, and SW architects.

  • Build proofs-of-concept, conduct experiments, and perform quantitive modeling to evaluate and drive new innovations.

  • Use simulation to explore performance of large GPU clusters (think scales of 100s of 1000s of GPUs)

What we need to see:

  • M.S./Ph.D. degree in CS/CE or equivalent experience.

  • 5+ years of relevant experience.

  • Excellent C/C++ programming and debugging skills.

  • Experience with parallel programming models (MPI, SHMEM) and at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC).

  • Deep understanding of operating systems, computer and system architecture.

  • Solid in fundamentals of network architecture, topology, algorithms, and communication scaling relevant to AI and HPC workloads.

  • Strong experience with Linux.

  • Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.

Ways to stand out from the crowd:

  • Expertise in related technology and passion for what you do. Experience with CUDA programming and NVIDIA GPUs. Knowledge of high-performance networks like InfiniBand, RoCE, NVLink, etc.

  • Experience with Deep Learning Frameworks such PyTorch, TensorFlow, etc. Knowledge of deep learning parallelisms and mapping to the communication subsystem. Experience with HPC applications.

  • Strong collaborative and interpersonal skills and a proven track record of effectively guiding and influencing within a dynamic and multi-functional environment.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 26, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993