דרושים » הנדסה » Senior AI Networking Exploration Architect

We are searching for world-class Scientist Engineers to join our growing software architecture Research team. The ideal candidate will be conducting cutting-edge research at the intersection of Networking, Security, Communications, AI and Distributed GPU computing, and working alongside top experts in these fields. With incredible resources in networking and compute, you will be able to impact, contribute and advance these domains for scalable accelerated computing. Topics include but are not limited to remote direct memory access, hardware offloading and hardware acceleration, distributed accelerator networks, AI for networking and security, storage management, cryptography accelerators and architecture, LLM network traffic optimizations and AI collectives. With its unique open culture, We are one of the best industry labs to do Accelerated Computing research.

What youll be doing:

Enhance our GPU Networking offerings for accelerating AI workloads, such as our Dynamo or our NIXL.

Develop and evaluate new technologies, innovations relevant for scientific, Deep Learning, and data-intensive workloads.

Create proof-of-concept to evaluate and drive such new technologies.

Work on impactful projects involving state-of-the-art high-performance computing software and hardware.

Designing and implementing services, runtime systems, and applications over SDK.

Partner and collaborate with other forward-thinking team members and external researchers.

We are looking for a creative AI/HPC software architecture intern to define the future high performance computing and networks. As a part of the team you will lead research, development, and deployment of innovative solutions in the networking hardware, programming environments, and system software to make future high-end computer systems more performant, scalable, and more usable. Come join the team and see how you can make a lasting impact on the world.

What you will be doing:
Creating prototypes to evaluate and motivate extensions in programming models (CUDA, NCCL, MPI, OpenSHMEM), new designs in runtimes, and new features in the network hardware.
Research, design and implement features for HPC communication middleware and Deep Learning frameworks such as TensorFlow and PyTorch.
Work with hardware architects to define the future hardware relevant for scientific applications, Deep learning, and data-intensive workloads.

The Ecosystems Engineering group is seeking a Principal Software Engineer to join our rapidly growing team. This is a game-changing opportunity to join an open-source AI platform that harnesses the power of hybrid cloud to drive innovation. In this role, you will work with a diverse team of highly talented engineers on designing, implementing, and productizing new AI solutions, with a focus on deep integration of the AI stack, hardware accelerators, and leading OEMs and Cloud Computing Service Providers (CCSPs).

You'll play a critical role in shaping the next generation of hybrid cloud platforms by directly contributing to our innovative AI and Edge products. This is your chance to be at the forefront of AI's exciting evolution, joining an ecosystem that champions continuous learning, career growth, and professional development. You'll also collaborate closely with product management, other engineering teams, and key partners and lighthouse customers.

What You Will Do:

Architect and lead the implementation of new features and solutions for our AI and Edge products.

Explore deep code integration into various products, ensuring optimal integration between the company`s portfolio, hardware accelerators and partners.

Provide technical vision and leadership on critical and high-impact projects, ensuring non-functional requirements including security, resiliency, and maintainability are met.

Integrate software that leverages hardware accelerators (e.g., DPUs, GPUs, AIUs) and perform performance analysis and optimization of AI workloads with accelerators.

Work with major AI and hardware partners such as NVIDIA, AMD, Dell, and others on building joint integrations and products.

Collaborate closely with UX, UI, QE, and cross-functional teams to deliver a great experience to our partners and customers.

Coordinate with team leads, architects, and other engineers on the design and architecture of our offerings.

Become responsible for the quality of our offerings, participate in peer code reviews and continuous integration (CI), and respond to security threats.

Mentor, influence, and coach a distributed team of engineers, contributing to a culture of continuous improvement by sharing recommendations and technical knowledge.

We are looking for a strong technical senior architect to join us in shaping the future. Senior Architects are innovators who can translate business needs into workable technology solutions. Their expertise is deep and broad. They are hands on, producing both detailed technical work and high-level architectural designs.

As a Senior architect in the Advanced Development team, you will explore technological challenges on accelerate networking and building AI data centers. Research new transport functions and semantics for optimizing AI workloads. You will also be leading architectural and development efforts across numerous technological fields, related to the modern data center, such as distributed AI and deep learning solutions, data analytics, High Performance Computing (HPC), Software Defined Networking (SDN), virtualization, storage, and more.

What youll be doing:

Enhance our GPU Networking offerings for accelerating AI workloads, such as our Dynamo or our NIXL.

Research, Identify and evaluate new technologies, innovations relevant for scientific, Deep Learning, and data-intensive workloads.

Create proof-of-concept to evaluate and drive such new technologies.

Work on impactful projects involving state-of-the-art high-performance computing software and hardware.

We are searching for Software Architect of Advanced Development to join our growing software architecture Research team. Opportunity for Scientist Graduates. The ideal candidate will be conducting cutting-edge research at the intersection of Networking, Security, and Communications, and working alongside top experts in these fields. With incredible resources in networking, you will be able to impact, contribute and advance these domains for scalable accelerated computing. Topics include but are not limited to remote direct memory access, hardware offloading and hardware acceleration, distributed accelerator networks, AI for networking and security, storage management, cryptography accelerators and architecture. With its unique open culture, We are one of the best industry labs to do Accelerated Computing research.

What youll be doing:

Technically leading the features owns working with customers and R&D on architecture and design of the features.

Clearly define the requirements. research the hardware, firmware, and software existing support and define the solution to match the requirements he defined.

Simulations ranging from specific components to complete data center environments.

Develop SDKs for novel HW capabilities.

Designing and implementing services, runtime systems, and applications over SDK.

Evaluate and optimize application performance.

Partner and collaborate with other forward-thinking team members and external researchers.

Work with intelligent networking machines powered by AI systems that can learn, reason and interact with other network components.

We are seeking a senior security architect who is passionate about advancing cybersecurity in networking products to join our team. This is an opportunity to work on groundbreaking projects to secure high-performance networking systems.

What you'll be doing:

Collaborate across the company to guide the direction of a converged NIC, working with hardware, software, research, and product teams.

Research, design, develop, and implement architecture solutions (Hardware and software) meeting internal and external security requirements and standards.

Apply innovative hardware security primitives to enable next-generation secure firmware and software supported by innovative hardware.

Collaborate with internal and external partners on the implementation of open-source software.

Architectural modeling, validation, microarchitectural definition, following standards bodies, and developing infrastructure enabling trusted platforms using hardware security methods.

Work with customers, partners to identify and address security issues and threats.

This Senior Data Science Engineer role will focus on designing and implementing Networking solutions based on AI for both the enhanced monitoring of NVIDIAs data centers and the optimization of NVIDIA networking products. Developing such platforms provides unique vital signs and uses them to identify performance degradation, component failures and abnormal usage patterns.
As a Senior Data Science Engineer in the Networking AI group, you will work closely with many different teams, solving problems with their engineering teams, and playing a key role in building successful NVIDIA solutions
What You'll Be Doing:
We expect you to conduct in-depth analysis of datasets, raise and validate hypotheses, extract significant features, and build, train, and deploy models on top of them.
Design and implement high-performance algorithms and data structures applicable to large-scale datasets and distributed processing. You will own the optimization and refinement of models to meet production-level performance and accuracy.
Collaborate with cross-functional teams to help define and execute the technical strategy for integrating AI-driven monitoring and optimization into our networking systems.
Build and test prototypes to demonstrate proof-of-concept and present technical findings to stakeholders and team leadership.
Analyze technical trade-offs in different solutions and design and implement robust systems for improving the throughput of analytics on large data streams.
Lead the technical implementation and integration of data science models into production environments.

We are seeking a Technical Marketing Engineer to join our Ethernet Networking team to keep improving our performance leadership in AI. In this pivotal role, you will be the hands-on expert for our Spectrum-X Ethernet platform, showcasing its superiority for emerging AI use cases. You will develop and implement rigorous benchmarks on various GPU clusters, analyzing everything from LLM training to groundbreaking inference workloads. Your primary mission is to translate these performance results into compelling technical content, including white papers, blogs, and presentations, that clearly articulates why our Spectrum-X Ethernet solutions are the definitive choice for modern AI infrastructure.

What you'll be doing:

Design and execute performance benchmarks using industry-standard tools (e.g., MLPerf, UCX, our Collective Communications Library - NCCL and CloudAI) and customer-representative AI workloads on our state-of-the-art GPU clusters.

Translate your benchmark data and technical insights into compelling, high-impact marketing assets and performance-driven sales enablement materials.

Collaborate closely with Product Management, ASIC and Software architecture and Sales teams, provide feedback on product features, and ensure our performance results are technically accurate and impactful.

We are seeking a driven Software Verification Engineer committed to excellence to join our innovative team and tackle challenges in high-speed networking. You will play a key role in simulating InfiniBand networks and validating complex software products that deliver advanced networking services for high-performance computing, machine learning, and AI workloads.

What Youll Be Doing:

Design and develop applications that simulate large-scale, high-speed networks, which are essential for testing software features that cannot be validated on physical hardware.

Build automated tests in a simulated environment for high-end hardware and software to ensure the robustness and reliability of our networking software stack using advanced testing platforms.

Collaborate with Software, Firmware development, and Architecture teams to foster open communication, understand new network technologies, and work together to ensure accurate modeling in your simulation applications.

Improve product quality by enhancing test coverage and developing comprehensive verification strategies.

Our Networking Software Group is rapidly growing, and we are hiring a Software Engineer for the InfiniBand Switch Software Development team. Come and join a diverse group of engineers spread across the globe who come together in small close knit teams to innovate and develop groundbreaking solutions.

As a member of the team, you will be a part of a cutting-edge Python-based SW project using advanced techniques to solve complex issues. You will gain unique knowledge of how operating systems work, Linux kernel and how large scale networks are constructed. Teams utilize the latest software engineering methodologies and tools in an agile fashion to release on time. Are you ready for this challenge? The Networking Hardware Acceleration team develops a cutting-edge, high speed API for our Network Interface Cards (NICs). We power foundational projects like DPDK and DOCA-Flow, driving next-generation networking performance. Join us to gain deep insights into our hardware acceleration technology and make a meaningful impact on both software and hardware innovation.

What youll be doing:

Learn new networking features, plan their verification strategy, and implement it on top of a Python-based in-house developed environment.

Design, develop, optimize, and maintain an OS/Kernel verification testing platform.

Collaborate with team members, architects, design, QA teams, and customers (both external and internal).

Innovate! We are always looking for new ways to make our Networking driver products shine in customers' eyes.