... UCX, NVSHMEM) • Experience conducting performance benchmarking and triage on large scale HPC clusters • Good understanding of computer system architecture, HW-SW interactions and operating ...
... UCX, NVSHMEM) • Experience conducting performance benchmarking and triage on large scale HPC clusters • Good understanding of computer system architecture, HW-SW interactions and operating ...
Solutions Architect, Inference Deployments
$74 - $97.50/hr
Solving sophisticated GPU allocation, memory hierarchies (HBM, DRAM, SSD), and low-latency networking (RDMA, UCX). * Demonstrated success in tuning large language models for low-latency inference in ...
Solutions Architect, Inference Deployments
$74 - $97.50/hr
Solving sophisticated GPU allocation, memory hierarchies (HBM, DRAM, SSD), and low-latency networking (RDMA, UCX). * Demonstrated success in tuning large language models for low-latency inference in ...
Senior Distributed Systems Engineer
Sunnyvale, CA · On-site
$122K - $166K/yr
... or UCX internals • Strong systems programming ability (C/C++, Rust, or Go) • Strong familiarity with modern model training frameworks such as PyTorch • Ability to troubleshoot and profile ...
Senior Distributed Systems Engineer
Sunnyvale, CA · On-site
$122K - $166K/yr
... or UCX internals • Strong systems programming ability (C/C++, Rust, or Go) • Strong familiarity with modern model training frameworks such as PyTorch • Ability to troubleshoot and profile ...
Solutions Architect, Inference Deployments
$74 - $97.50/hr
Solving sophisticated GPU allocation, memory hierarchies (HBM, DRAM, SSD), and low-latency networking (RDMA, UCX). * Demonstrated success in tuning large language models for low-latency inference in ...
Solutions Architect, Inference Deployments
$74 - $97.50/hr
Solving sophisticated GPU allocation, memory hierarchies (HBM, DRAM, SSD), and low-latency networking (RDMA, UCX). * Demonstrated success in tuning large language models for low-latency inference in ...
Solutions Architect, Inference Deployments
Santa Clara, CA · On-site
$74 - $97.50/hr
Solving sophisticated GPU allocation, memory hierarchies (HBM, DRAM, SSD), and low-latency networking (RDMA, UCX). * Demonstrated success in tuning large language models for low-latency inference in ...
Solutions Architect, Inference Deployments
Santa Clara, CA · On-site
$74 - $97.50/hr
Solving sophisticated GPU allocation, memory hierarchies (HBM, DRAM, SSD), and low-latency networking (RDMA, UCX). * Demonstrated success in tuning large language models for low-latency inference in ...
Senior Deep Learning Communication Architect
Austin, TX · On-site
$128K - $174K/yr
Collaborate with hardware and software teams to craft systems that effectively apply high-speed interconnects (e.g., NVLink, InfiniBand, SPC-X) and communication libraries (e.g., MPI, NCCL, UCX, UCC ...
Senior Deep Learning Communication Architect
Austin, TX · On-site
$128K - $174K/yr
Collaborate with hardware and software teams to craft systems that effectively apply high-speed interconnects (e.g., NVLink, InfiniBand, SPC-X) and communication libraries (e.g., MPI, NCCL, UCX, UCC ...
Solutions Architect, Inference Deployments
Santa Clara, CA · On-site
$74 - $97.50/hr
Solving sophisticated GPU allocation, memory hierarchies (HBM, DRAM, SSD), and low-latency networking (RDMA, UCX). * Demonstrated success in tuning large language models for low-latency inference in ...
Solutions Architect, Inference Deployments
Santa Clara, CA · On-site
$74 - $97.50/hr
Solving sophisticated GPU allocation, memory hierarchies (HBM, DRAM, SSD), and low-latency networking (RDMA, UCX). * Demonstrated success in tuning large language models for low-latency inference in ...
Senior Software Engineer, CUDA Deep Learning Systems
Austin, TX · On-site
$121K - $160K/yr
... UCX) and distributed machine learning techniques (e.g., pipeline parallelism, tensor parallelism). • Knowledge of numerical methods, low-precision arithmetic (e.g., NVFP4, MXFP4, FP8, INT8), and ...
Senior Software Engineer, CUDA Deep Learning Systems
Austin, TX · On-site
$121K - $160K/yr
... UCX) and distributed machine learning techniques (e.g., pipeline parallelism, tensor parallelism). • Knowledge of numerical methods, low-precision arithmetic (e.g., NVFP4, MXFP4, FP8, INT8), and ...
Senior System Software Engineer
Santa Clara, CA · On-site
$143K - $189K/yr
Work with open source communities to enhance libraries like RAPIDS, CCCL and UCX through technical discussion and code contributions * Provide recommendations and feedback to teams regarding ...
Senior System Software Engineer
Santa Clara, CA · On-site
$143K - $189K/yr
Work with open source communities to enhance libraries like RAPIDS, CCCL and UCX through technical discussion and code contributions * Provide recommendations and feedback to teams regarding ...
Principal Systems Software Engineer
Santa Clara, CA · On-site
$158K - $212K/yr
Work with open source communities to enhance libraries like NVIDIA cuDF, CCCL and UCX through technical discussion and code contributions * Collaborate with distributed systems teams to craft ...
Principal Systems Software Engineer
Santa Clara, CA · On-site
$158K - $212K/yr
Work with open source communities to enhance libraries like NVIDIA cuDF, CCCL and UCX through technical discussion and code contributions * Collaborate with distributed systems teams to craft ...
Senior System Software Engineer
$137K - $180K/yr
Work with open source communities to enhance libraries like RAPIDS, CCCL and UCX through technical discussion and code contributions * Provide recommendations and feedback to teams regarding ...
Senior System Software Engineer
$137K - $180K/yr
Work with open source communities to enhance libraries like RAPIDS, CCCL and UCX through technical discussion and code contributions * Provide recommendations and feedback to teams regarding ...
Senior Distributed Systems Engineer
Sunnyvale, CA · Hybrid
$200K - $400K/yr
... UCX internals · Strong systems programming ability (C/C++, Rust, or Go) · Strong familiarity with modern model training frameworks such as PyTorch · Ability to troubleshoot and profile training ...
Quick apply
Senior Distributed Systems Engineer
Sunnyvale, CA · Hybrid
$200K - $400K/yr
... UCX internals · Strong systems programming ability (C/C++, Rust, or Go) · Strong familiarity with modern model training frameworks such as PyTorch · Ability to troubleshoot and profile training ...
Principal Systems Software Engineer
$135K - $181K/yr
Work with open source communities to enhance libraries like NVIDIA cuDF, CCCL and UCX through technical discussion and code contributions * Collaborate with distributed systems teams to craft ...
Principal Systems Software Engineer
$135K - $181K/yr
Work with open source communities to enhance libraries like NVIDIA cuDF, CCCL and UCX through technical discussion and code contributions * Collaborate with distributed systems teams to craft ...
Principal Systems Software Engineer
$158K - $212K/yr
Work with open source communities to enhance libraries like NVIDIA cuDF, CCCL and UCX through technical discussion and code contributions * Collaborate with distributed systems teams to craft ...
Principal Systems Software Engineer
$158K - $212K/yr
Work with open source communities to enhance libraries like NVIDIA cuDF, CCCL and UCX through technical discussion and code contributions * Collaborate with distributed systems teams to craft ...
Senior System Software Engineer
$143K - $189K/yr
Work with open source communities to enhance libraries like RAPIDS, CCCL and UCX through technical discussion and code contributions * Provide recommendations and feedback to teams regarding ...
Senior System Software Engineer
$143K - $189K/yr
Work with open source communities to enhance libraries like RAPIDS, CCCL and UCX through technical discussion and code contributions * Provide recommendations and feedback to teams regarding ...
Senior Software Engineer, NCCL
$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 that ...
Senior Software Engineer, NCCL
$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 that ...
Senior System Software Engineer
$122K - $161K/yr
Work with open source communities to enhance libraries like RAPIDS, CCCL and UCX through technical discussion and code contributions * Provide recommendations and feedback to teams regarding ...
Senior System Software Engineer
$122K - $161K/yr
Work with open source communities to enhance libraries like RAPIDS, CCCL and UCX through technical discussion and code contributions * Provide recommendations and feedback to teams regarding ...
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 ...
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 ...
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 ...
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 ...
Principal Architect, AI Networking
Santa Clara, CA · On-site
$272 - $431.25/hr
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 ...
Principal Architect, AI Networking
Santa Clara, CA · On-site
$272 - $431.25/hr
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 ...
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?
| Aspect | Ucx | Customer Support Specialist |
|---|---|---|
| Required Credentials | Typically a degree in communications, IT, or related field; certifications in customer experience or CRM tools | High school diploma or equivalent; customer service training often preferred |
| Work Environment | Office or remote; focus on customer experience management and data analysis | Call centers, retail, or online support; direct customer interaction |
| Industry Usage | Used across tech, retail, finance for improving customer journeys | Common 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.
More about Ucx jobs
What cities are hiring for Ucx jobs? Cities with the most Ucx job openings:
What states have the most Ucx jobs? States with the most job openings for Ucx jobs include:
What job categories do people searching Ucx jobs look for? The top searched job categories for Ucx jobs are:
Full-time
Posted 5 days ago
Nvidia rating
9.6
Based on 17 frontline employees who took The Breakroom Quiz
5th of 217 rated software companies
Job description
Job Summary:
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The role involves conducting performance characterization and analysis on large multi-GPU and multi-node clusters to influence the roadmap of communication libraries.
Responsibilities:
• Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters.
• Study the interaction of our libraries with all HW (GPU, CPU, Networking) and SW components in the stack
• Evaluate proof-of-concepts, conduct trade-off analysis when multiple solutions are available
• Triage and root-cause performance issues reported by our customers
• Collect a lot of performance data; build tools and infrastructure to visualize and analyze the information
• Collaborate with a very dynamic team across multiple time zones
Qualifications:
Required:
• M.S. (or equivalent experience) or PhD in Computer Science, or related field with relevant performance engineering and HPC experience
• 3+ yrs of experience with parallel programming and at least one communication runtime (MPI, NCCL, UCX, NVSHMEM)
• Experience conducting performance benchmarking and triage on large scale HPC clusters
• Good understanding of computer system architecture, HW-SW interactions and operating systems principles (aka systems software fundamentals)
• Implement micro-benchmarks in C/C++, read and modify the code base when required
• Ability to debug performance issues across the entire HW/SW stack. Proficient in a scripting language, preferably Python
• Familiar with containers, cloud provisioning and scheduling tools (Kubernetes, SLURM, Ansible, Docker)
• Adaptability and passion to learn new areas and tools. Flexibility to work and communicate effectively across different teams and timezones
Preferred:
• Practical experience with Infiniband/Ethernet networks in areas like RDMA, topologies, congestion control
• Experience debugging network issues in large scale deployments
• Familiarity with CUDA programming and/or GPUs
• Experience with Deep Learning Frameworks such PyTorch, TensorFlow
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The role involves conducting performance characterization and analysis on large multi-GPU and multi-node clusters to influence the roadmap of communication libraries.
Responsibilities:
• Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters.
• Study the interaction of our libraries with all HW (GPU, CPU, Networking) and SW components in the stack
• Evaluate proof-of-concepts, conduct trade-off analysis when multiple solutions are available
• Triage and root-cause performance issues reported by our customers
• Collect a lot of performance data; build tools and infrastructure to visualize and analyze the information
• Collaborate with a very dynamic team across multiple time zones
Qualifications:
Required:
• M.S. (or equivalent experience) or PhD in Computer Science, or related field with relevant performance engineering and HPC experience
• 3+ yrs of experience with parallel programming and at least one communication runtime (MPI, NCCL, UCX, NVSHMEM)
• Experience conducting performance benchmarking and triage on large scale HPC clusters
• Good understanding of computer system architecture, HW-SW interactions and operating systems principles (aka systems software fundamentals)
• Implement micro-benchmarks in C/C++, read and modify the code base when required
• Ability to debug performance issues across the entire HW/SW stack. Proficient in a scripting language, preferably Python
• Familiar with containers, cloud provisioning and scheduling tools (Kubernetes, SLURM, Ansible, Docker)
• Adaptability and passion to learn new areas and tools. Flexibility to work and communicate effectively across different teams and timezones
Preferred:
• Practical experience with Infiniband/Ethernet networks in areas like RDMA, topologies, congestion control
• Experience debugging network issues in large scale deployments
• Familiarity with CUDA programming and/or GPUs
• Experience with Deep Learning Frameworks such PyTorch, TensorFlow
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
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