דרושים » חשמל ואלקטרוניקה » Senior Advanced Development Engineer, GPU Networking

As a Senior Software Architect in the GPU Networking Architecture team, you will define Software Defined Networking architectural solutions. You'll also be part of a team of specialists who span across numerous technological fields related to the modern data center, such as distributed AI and deep learning systems, Networking Operating Systems, Virtualization, Storage, and more.

What youll be doing:
Define system and software architecture for Software Defined Networking (SDN) of ground breaking emerging AI networks which involves innovative software and hardware.
Be an active member in setting the use-cases and metrics for Monitoring Complex High-speed Networks Control-plane.
Work closely with various groups within us to bring AI network technologies to reality, including GPU and Switch HW and SW teams, Product as well as fellow architects.

As a Senior Software Architect in the Accelerated Computing System and Software team, you will define Software Defined Networking (SDN) architectural solutions and be part of a team of specialists who span across numerous technological fields related to the modern data center, such as distributed AI and deep learning systems, High Performance Computing (HPC), Networking Operating Systems, Virtualization, Storage, and more.

What youll be doing:

Define system and software architecture for Software Defined Networking (SDN) of ground breaking emerging AI and HPC networks which involves innovative software and hardware.

Be an active member in setting the use-cases and metrics for Monitoring Complex High-speed Networks Control-plane.

Work closely with various groups within NVIDIA to bring AI and HPC network technologies to reality, including GPU and Switch HW and SW teams, Product as well as fellow architects.

As a Senior Software Architect in the Accelerated Computing System and Software team, you will define Software Defined Networking (SDN) architectural solutions and be part of a team of specialists who span across numerous technological fields related to the modern data center, such as distributed AI and deep learning systems, High Performance Computing (HPC), Networking Operating Systems, Virtualization, Storage, and more.
What youll be doing:
Define system and software architecture for Software Defined Networking (SDN) of ground breaking emerging AI and HPC networks which involves innovative software and hardware.
Be an active member in setting the use-cases and metrics for Monitoring Complex High-speed Networks Control-plane.
Work closely with various groups within our company to bring AI and HPC network technologies to reality, including GPU and Switch HW and SW teams, Product as well as fellow architects.

The company Networking Advanced Development Software team develops new groundbreaking technologies to enable new market shares for the company and tighten customer relationships. These are emerging technologies in networking and distributed computing for the booming AI factories and data centers. They span areas such as AI neural networks, Deep Learning, High Performance Computing (HPC), Storage, Cloud, SW Defined Network, Network Function Virtualization, 5G NR and more. We develop the solutions top-down, all the way from application behavioral analysis, to architecture definition and down to the implementation, using the world-leading company devices. The development traverses any needed component - application SW, middleware SW, OS kernel subsystems, device drivers, embedded SW (Firmware) and CUDA GPU. We collaborate with partners and key customers in the analysis processes and engage with open source communities introducing our leading features.
What youll be doing:
Design and implement solutions throughout all layers from high level application, OS and driver subsystem to firmware
Work on impactful projects involving state-of-the-art high-performance computing hardware and software
Provide insight and technical guidance and collaborate with peers from across the company - including software architecture, chip architecture, and engineering departments to improve our future technology
Collaborate with our company partners and customers.

We seek a highly motivated and experienced System Architect specializing in Data-Center, AI Fabric, and Ethernet Networking to join our team of experts and help shape the future of high-performance ML/AI computing. You will have the opportunity to work on some of the most pioneering technologies and help drive the innovation of our next-generation networks. You will play a key role in defining end-to-end solutions, networking protocols and features, interworking with orchestration systems, and help address new business opportunities in exciting areas. Our Architects also represent us in open-source projects, technical conferences, and standard development organizations.

What you'll be doing:

Explore new technologies and end-to-end solutions for our Ethernet Networking Platforms.

Be familiar with data-center and AI fabric network topologies, AI/ML clusters operation and network usage, as well as with the Ethernet Switch platforms' design and characteristics.

Define robust architectures and technical requirements for network operating systems and end-to-end solution offering for AI/ML workloads' needs and highly performing network operations.

Lead the work with R&D and Validation teams, providing technical guidelines and close support and thorough reviews for detailed designs and test plans.

Collaboration with architects across various fields, including Chip Design, Firmware, Hardware Platforms, and System teams.

Close work with product marketing, program managers, and account managers to ensure the successful execution of projects.

Support engagements with key customers, issue patents, publish white papers and blogs, and be proactive in technical forums and industry working groups.

Promote innovation through the design and implementation of Proof-of-Concept (PoC).

we are building state-of-the-art accelerated computing platforms that know no boundaries. Our technology is crucial for global innovators, scientists, researchers, and engineersempowering them to transform their boldest concepts into tangible outcomes. Our next-generation Infiniband, NVLink, and Ethernet systems will continue to be at the forefront of connecting and powering the world's most advanced AI clusters.
We seek a highly motivated and experienced Software Architect specializing in Ethernet Switch ASICs to join our team of experts and help shape the future of high-performance ML/AI computing. You will have the opportunity to work on some of the most pioneering technologies and help drive the innovation of our next-generation networks. You will play a key role in defining switching software stacks and Linux kernel networking, and help address new business opportunities in exciting areas. Our Architects also represent our company in open-source projects, technical conferences, and standard development organizations.
What you'll be doing:
Explore networking technologies, features and protocols, hardware/software capabilities, open-source software and drivers for our Ethernet Switch ASICs and Networking platforms.
Be familiar with the Ethernet Switch ASIC hardware and software stacks, as well as with the Ethernet Switch platforms design and characteristics.
Define robust architectures and technical requirements for embedded software, meeting AI/ML workloads' needs and highly performing network operations.
Lead the work with R&D and Validation teams, providing technical guidelines and close support and thorough reviews for detailed designs and test plans.
Collaboration with architects across various fields, including Chip Design, Firmware, Hardware Platforms, and System teams.
Close work with product marketing, program managers, and account managers to ensure the successful execution of projects.
Support engagements with key customers, issue patents, publish white papers and blogs, and be proactive in technical forums and industry working groups.
Promote innovation through the design and implementation of Proof-of-Concept (PoC).

We seek a highly motivated and experienced Software Architect specializing in Ethernet Switch ASICs to join our team of experts and help shape the future of high-performance ML/AI computing. You will have the opportunity to work on some of the most pioneering technologies and help drive the innovation of our next-generation networks. You will play a key role in defining switching software stacks and Linux kernel networking, and help address new business opportunities in exciting areas. Our Architects also represent us in open-source projects, technical conferences, and standard development organizations.

What you'll be doing:

Explore networking technologies, features and protocols, hardware/software capabilities, open-source software and drivers for our Ethernet Switch ASICs and Networking platforms.

Be familiar with the Ethernet Switch ASIC hardware and software stacks, as well as with the Ethernet Switch platforms design and characteristics.

Define robust architectures and technical requirements for embedded software, meeting AI/ML workloads' needs and highly performing network operations.

Lead the work with R&D and Validation teams, providing technical guidelines and close support and thorough reviews for detailed designs and test plans.

Collaboration with architects across various fields, including Chip Design, Firmware, Hardware Platforms, and System teams.

Close work with product marketing, program managers, and account managers to ensure the successful execution of projects.

Support engagements with key customers, issue patents, publish white papers and blogs, and be proactive in technical forums and industry working groups.

Promote innovation through the design and implementation of Proof-of-Concept (PoC).

We are looking for an AI Test Architect joining E2E Verification group to profile Innovative large scale Distributed training on our AI End-to-End solutions in a large scale supercomputing clusters. Provide insights on at-scale system design and tuning mechanisms for large-scale compute runs. You will work with the latest Accelerated Computing and Deep Learning software and hardware platforms, with researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, Switch, HCA, CPU and GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms.

What youll be doing:

Profiling, benchmarking, and analyzing deep learning models to identify areas for optimization and improvement in terms of performance, efficiency, and accuracy, with a strong emphasis on networking aspects.

Collaborating closely with data scientists, researchers, development, automation teams to design and implement scalable training pipelines and frameworks that demonstrate large scale high -performance networking capabilities.

Staying up-to-date with the latest advancements in deep learning algorithms, architectures, our GPU technologies, and high-performance networking solutions.

Optimizing deep learning models for performance, memory usage, and power efficiency while maximizing high-performance networking features on our supercomputers.

Providing insights and recommendations based on the analysis of large-scale training results, specifically focusing on networking bottlenecks and optimizations, to improve model outcomes and achieve business objectives.

Collaborating with hardware engineers to guide the development and integration of efficient networking solutions for deep learning, including exploring network architecture optimizations and bringing to bear technologies such as RDMA or InfiniBand.

We are seeking a passionate and innovative Senior Software Engineer with expertise in enterprise and data center networking to join our Cumulus Linux team. Cumulus Linux is a leading open-networking operating system and a cornerstone of the AI Factory - the next-generation data center designed to power the training, fine-tuning, and deployment of AI models at scale. As part of the team, you will design and implement core features of Cumulus Linux that enable the worlds most advanced data centers. You will work closely with cross-functional architecture and design teams, shaping the future of our networking technologies while gaining hands-on experience across our hardware and software ecosystem - from advanced networking ASICs to large-scale distributed systems.

What you'll be doing:

Design, develop, integrate, and test data forwarding and routing features in our Cumulus Linux.

Enable our Cumulus Linux on next-generation ASICs.

Work collaboratively with team members, product managers, architects, QA, and other engineering teams to deliver high-quality solutions.

Innovate and rapidly develop proof-of-concept (POC) prototypes that can evolve into fully developed products or solutions.

Engage closely with customers to understand their challenges, use cases, and deployment strategies, and devise innovative solutions.

We seek a highly motivated Network Performance Exploration Engineer to join our team of experts and help shape the foundational infrastructure for the AI revolution. Our next-generation networking systems are at the forefront of connecting and powering the world's most advanced AI clusters. As a key member of our architecture team, you will be responsible for exploring and identifying critical network optimization opportunities across our entire hardware and software stack, analyzing how system-level changes impact application-level performance.
What Youll Be Doing:
Explore and validate end-to-end application performance, defining comprehensive test plans and critical metrics to identify optimization opportunities in both hardware and software.
Establish and maintain a comprehensive database of benchmark results, tracking performance across releases to drive data-informed decisions.
Conduct deep-dive analysis into communication libraries (like NCCL), system software, and hardware configurations to investigate performance characteristics, validate architectural theories, and identify bottlenecks.
Provide critical performance data to correlate and enhance simulation tools, ensuring our models accurately predict real-world hardware behavior.
Analyze application-level traffic patterns (e.g., LLMs) on our advanced networking fabrics to identify hardware and software optimization opportunities and tune system parameters.
Lead Proof-of-Concept (POC) projects to prototype and evaluate potential hardware and software optimizations and their impact on application performance.