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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 ...

We deliver libraries like NCCL, NVSHMEM, UCX for Deep Learning and HPC. We are looking for a motivated Performance engineer to influence the roadmap of our communication libraries. The DL and HPC ...

About the Role: This position is responsible for managing the warehouse facility, coordinating logistics, and implementing efficient inventory control systems to meet customer demands and company ...

You will ensure that AI and HPC libraries-includingNCCL, NIXL, NVSHMEM, UCC, and UCX-evolve to meet the requirements of trillion-parameter and Agentic AI. * Hardware/Software Co-Design:Collaborate ...

NIXL, NCCL, UCX, MPI, NVSHMEM), and GPU accelerated systems, with track record of defining and delivering complex, cross-team technical initiatives from research concept to production. • MS, PhD or ...

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Ucx information

What are some common challenges faced by UCX (Unified Communications Exchange) professionals and how can they be addressed?

UCX professionals often encounter challenges such as integrating new communication technologies with legacy systems, maintaining high levels of uptime, and ensuring data security across multiple platforms. These challenges can be managed by staying up-to-date with industry best practices, proactively monitoring system performance, and collaborating closely with IT security and network teams. Regular training and cross-functional teamwork are essential to quickly resolve issues and implement effective solutions in a dynamic environment.

What are UCX professionals?

UCX professionals specialize in Unified Communications Exchange, which involves the integration and management of communication tools like voice, video, messaging, and collaboration platforms within organizations. Their primary role is to ensure seamless communication experiences by deploying, configuring, and maintaining UCX systems. They often work with technologies such as VoIP, video conferencing, and cloud-based communication platforms to support business operations. UCX professionals may also provide user training, troubleshoot issues, and ensure the security and reliability of communication networks.

What is the difference between Ucx vs Customer Support Specialist?

AspectUcxCustomer Support Specialist
Required CredentialsTypically a degree in communications, IT, or related field; certifications in customer experience or CRM toolsHigh school diploma or equivalent; customer service training often preferred
Work EnvironmentOffice or remote; focus on customer experience management and data analysisCall centers, retail, or online support; direct customer interaction
Industry UsageUsed across tech, retail, finance for improving customer journeysCommon in retail, telecom, and service industries for handling customer inquiries

Ucx professionals focus on enhancing overall customer experience through data analysis and strategic initiatives, while Customer Support Specialists handle direct customer interactions and issue resolution. Both roles are vital but differ in scope and responsibilities.

What are the key skills and qualifications needed to thrive as a UCX (Unified Communications Experience) Specialist, and why are they important?

To thrive as a UCX Specialist, you need a solid understanding of unified communications platforms, network infrastructure, and troubleshooting, often supported by a degree in IT or a related field. Familiarity with tools like Microsoft Teams, Zoom, Cisco Unified Communications, and certifications such as CCNA Collaboration or Microsoft Certified: Teams Administrator are commonly required. Excellent problem-solving abilities, communication skills, and a customer-focused attitude set top performers apart in this role. These skills are essential to ensure seamless communication solutions, minimize downtime, and deliver a positive user experience across organizational environments.
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Senior Software Architect - Deep Learning and HPC Communications

Senior Software Architect - Deep Learning and HPC Communications

Nvidia

Durham, NC

$125K - $170K/yr

Full-time

Posted 25 days ago


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 June 1, 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.

Nvidia logo

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