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We are looking for an experienced Firmware Engineer to join the NIC Firmware team at the Yokneam site. You will take part in leading a major development team in our Firmware group while taking part hands-on with development activities. The Firmware team develops cutting edge networking features for cloud, HPC and storage. We drive the data growth of the worlds biggest companies. With talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced.

What you will be doing:
Lead a group of engineers and provide technical guidance and career mentorship to the team. Empower the team members to excel and increase team productiveness.
Work closely with the architecture and different software design teams.
Implement new features in the core of our NIC firmware in pre and post silicon environment.
Develop verification tests for advanced features in a highly complex and sophisticated Firmware testing environment.
Gain a deep understanding of system debug, networking technology and stacks, as well as the HW/FW/SW relationship.
You will learn how a big software project is operated, maintained, qualified and released, and how Hardware and Firmware are developed.

We are looking for a team lead to join the DOCA SDK Verification team. The DOCA SDK enables developers to rapidly create applications and services on top of BlueField data processing units (DPUs), leveraging industry-standard APIs. With DOCA, developers can deliver breakthrough networking, security, and storage performance by harnessing the power of our DPUs.

What you'll be doing:
Lead a small team of software engineers (2-3 developers).
Design and develop verification infrastructure to ensure the reliability, functionality, and quality of the DOCA SDK.
80% hands on development in python.
Provide technical leadership, mentorship, and guidance to the team.
Ensure high-quality code through code reviews and best practices.
Provide guidance and support to team members, fostering their professional growth and development.

We are building a high-impact team at the forefront of architectural innovation, and were looking for a Senior Simulation Software Engineer to be a key contributor. In this role, youll develop software-based functional models and simulators to explore, validate, and influence the architecture of our next-generation our switches. You will work closely with architects and design teams, contributing to the design and performance evaluation of cutting-edge systems. This is a rare opportunity to shape architectural decisions from the ground up while working in a fast-paced, exploratory environment.

What you'll be doing:

Develop high-performance C++ and SystemC models of hardware blocks and subsystems.

Create simulation infrastructure and toolchains for evaluating new hardware designs.

Work autonomously to define, design, and implement modeling features.

Collaborate across architecture, design, and software teams to refine system-level behavior and define new methodologies.

Take technical ownership and demonstrate natural leadership within the team and across groups.

We invite an astute and forward-thinking Senior Software Architect to lead and incubate core technologies in our AI data center and network technologies. In this pivotal role, your strategic vision will guide the evolution of our comprehensive AI Cloud solutions, driving innovation in areas such as sophisticated host virtualization, groundbreaking fabric technologies, and coordinated orchestration. You will also stand as a key representative for NVIDIA, embodying our presence in significant open-source projects, key conferences, and standards committees. This role offers a rare opportunity to leave a significant mark on the AI industry and push the boundaries of technological progress.

What you'll be doing:

Assessing and integrating innovative technologies and forging partnerships to improve our technological trajectory and value.

Orchestrating new network application designs employing data plane programming to address intricate network challenges creatively.

Engaging with collaborators through customer interactions, authoring thought leadership content such as white papers and blogs, and delivering presentations at industry events.

Crafting a coherent strategic direction for NVIDIA's network solutions in collaboration with software and hardware architects.

Our Infrastructure Specialists team seeks an Infiniband Network Engineer to help customers realize next-generation data center networks. You'll join a team working around the globe to build and deploy some of the most cutting-edge data center solutions in the world! This role will focus on automation and logical configuration of network devices and customer networks. We work with customers of all sizes, from small networks up to the world's largest and most sophisticated data centers and supercomputers. AI Factory Network Engineers deliver the technologies, solutions and services customers need to efficiently implement and run their networks. In this role, they are "The face of us to the customer," working in fast-paced, high-impact environments as meaningful contributors delivering on our commitments.

What you'll be doing:

Primary responsibilities will include building AI Factory infrastructure for new and existing customers.

Support operational and reliability aspects of large-scale AI clusters with a focus on performance at scale, real-time monitoring, logging, and alerting.

Engage in and improve the whole lifecycle of servicesfrom inception and design through deployment, operation, and refinement.

Maintain services once they are live by measuring and monitoring availability, latency, and overall system health.

Be the focal point for any networking-related escalations. Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.

We are looking for an enthusiastic software engineer to join our AI networking acceleration team, to work on a groundbreaking open-source library, using hardware offloads, GPU Kernels and RDMA network cards. Our product is a performance-oriented low-level infrastructure, crafted to change the way inference works.

We thrive as a team in a deeply strong environment, and we're passionate about innovation. The rewards are sweet and include working with some of the brightest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to collaborate on products that transform daily the way people work and play.

What you'll be doing:

Developing a highly optimized inference framework

Running on the worlds largest supercomputers and data centers.

The work environment is dynamic and challenging as our employees work on innovative, next-generation products at the forefront of technology in terms of performance, scalability, and features.

We are now looking for a Chip Design Verification Engineer. We are seeking a verification engineer to join the chip design methodologies team. The team is in charge of the verification methodologies, shared code, training, and embracing new technologies. One of our main goals is to make sure that the team works in an efficient manner, and provides high-quality deliveries. This position offers the opportunity to have real impact in a dynamic, technology-focused company.

What you'll be doing:

Develop shared verification code and solutions to be widely used by the chip design team.

Develop groundbreaking methodologies to create a flawless experience for verification engineers to keep the focus on new problems.

Collaborate with the design automation team to provide end-to-end solutions that combine verification, simulation, and automation.

Get in touch with EDA vendors to learn about cutting-edge tools/technology and apply them into our verification process.

Understand the design, define the verification scope, develop the verification infrastructure and verify the correctness of the design.

Collaborate with designers, verification specialists to accomplish your tasks.

Develop training sessions.

We are looking for an experienced SW Engineer with desire and ability to contribute and lead cutting edge Network Management System of most powerful super-computers in the world. Our team is growing, and we are looking for hardworking and self-motivated engineers to lead building of advanced, high scale SDN management solutions. You will be part of a dynamic team, working with amazing people. This crucial role will give you a rare opportunity to craft and deliver a new class of Data Center NMS product line.

What you'll be doing:

The team develops infrastructure for monitoring and gathering telemetry from production environments, running on the worlds largest supercomputers and datacenters.

The work environment is dynamic and challenging; we are innovating and inventing software products at the forefront of technology in terms of performance, scalability, and features.

Our team works closely with other engineering teams to co-design new features and software APIs.

We are looking for a passionate Senior Software Engineer to join our Chip Design CAD team. In this role, you will contribute and work on the interesting junction of electrical and software engineering, when developing SW tools and solutions used to design the next generation Smart Adapters, Switches and GPUs for the advanced data centers across the world.

What you'll be doing:

Develop innovative SW solutions.

Take part in defining methodologies affecting design and verification engineers day to day work.

Improve existing tools, which are used in-house by electrical engineers for designing the next generation SoCs and Switches.

Collaborate with designers, verification specialists and architects to accomplish your tasks.

We are looking for a talented Signal Processing and Communications Engineer to bridge the gap between simulation and real-world performance for high-speed wireline communication links. In this role, you will analyze lab results to refine development simulators and align them closely with actual SerDes performance, ensuring future designs are driven by real measurements, not just theoretical models. You will play a critical role in optimizing current designs for faster, more reliable chip bring-up and shaping the architecture of next-generation solutions. As part of the algorithm team, you will be actively involved in debugging unique and complex phenomena observed in the lab, working alongside post-silicon engineers to directly influence product performance. Separately, this role also provides a rare opportunity to gain broad system-level understanding, offering visibility into how the SerDes integrates and interacts within the larger chip architectureinsight typically beyond the standard algorithmic scope.

You will collaborate closely with analog and digital designers, signal integrity experts, and other cross-functional teams to ensure simulation models and lab results accurately represent real-world system behavior. If you are passionate about solving complex signal processing challenges and working at the forefront of technology, we want to hear from you.

What you will be doing:

Develop HW tools and flows to improve lab debuggability and visibility.

Correlate simulation results with lab measurements to improve model accuracy.

Work closely with cross-disciplinary teams to ensure accurate and reliable model representation.

Find performance bottlenecks

Characterize and evaluate analog and digital blocks in the lab to contribute to the DSP architecture and modeling strategies for next-generation SerDes designs.

We are seeking a highly skilled and expert Verification Lead to join our PCIe Firmware team. In this role, you will be responsible for supervising the verification plans, monitoring their execution within the teams, guiding engineers through the verification implementation, and tracking coverage, Coverity, and other relevant statistics. You will be joining a team dedicated to developing groundbreaking technology and building the core technology of next-generation devices across various fields, including low-level C layer between hardware and firmware, C++ verification environment, automation challenges, and Python testing environment.

What youll be doing:

Develop and lead verification plans, ensuring they are driven effectively within the teams.

Provide guidance to engineers on verification implementation within the verification environment.

Monitor coverage, Coverity, and other statistics to ensure comprehensive verification and optimization of next-generation NVIDIA products.

Work closely with firmware design, chip design, software, and architecture teams to define and craft both legacy and new low-level firmware flows.

Enhance methodologies and automated processes to improve efficiency and effectiveness.

We are seeking a highly motivated High-Performance System Architect to join our team of experts and help shape the future of high-performance and ML / AI computing. Our next-generation Infiniband and NVL systems will be at the forefront of connecting and powering the world's most advanced compute clusters, from supercomputers used in AI research to high-performance clusters used at almost every industry today, such as car and Pharmaceutical. As a high-performance system architect, you will have the opportunity to work on some of the most cutting-edge technology and help to drive the innovation of our next generation networks that will be used by top researchers and engineers around the world.

What youll be doing:

Define the Infiniband and NVL system architecture end-to-end, by internal requirements and customers requirements through all product life cycles (post/pre silicon, on deployments).

research of various solutions to enable the next large-scale-high-performance computing clusters. The position spans over various layers from algorithms, software, firmware, and HW.

The architect should have experience in developing models for simulations, analyzing simulation results and development of optimization algorithms.

Collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and research teams, to ensure the successful execution of the project.

We are seeking a highly motivated High-Performance System Architect to join our team of experts and help shape the future of high-performance and ML / AI computing. Our next-generation Infiniband and NVL systems will be at the forefront of connecting and powering the world's most advanced compute clusters, from supercomputers used in AI research to high-performance clusters used at almost every industry today, such as car and Pharmaceutical. As a high-performance system architect, you will have the opportunity to work on some of the most cutting-edge technology and help to drive the innovation of our next generation networks that will be used by top researchers and engineers around the world.

What youll be doing:

Define the Infiniband and NVL system architecture end-to-end, by internal requirements and customers requirements through all product life cycles (post/pre silicon, on deployments).

research of various solutions to enable the next large-scale-high-performance computing clusters. The position spans over various layers from algorithms, software, firmware, and HW.

The architect should have experience in developing models for simulations, analyzing simulation results and development of optimization algorithms.

Collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and research teams, to ensure the successful execution of the project.

We are seeking a Senior Deep Learning Researcher for an excellent opportunity! This role provides an outstanding opportunity to engage in groundbreaking innovation and contribute to advancing diffusion-based technologies. You will work with pioneering methodologies and tools, crafting solutions that push the boundaries of AI capabilities.

What you'll be doing:

Invent and build ground-breaking techniques for efficient multi-modality model creation and publish the findings in leading journals and conferences.

Combine traditional diffusion technologies with the latest and greatest LLMs.

Contribute to our AI enterprise software to ensure robust and scalable solutions.

Collaborate with internal and external teams worldwide to drive research and development in multi-modal learning, using different professions and resources across the company.

Partner with leading scientific organizations and industry pioneers to remain at the forefront of technological advancements and integrate the latest innovations into practical applications.

We are looking for an experienced HPC DevOps Engineer to help us build the supercomputers and HPC clusters of the future. As a Senior HPC DevOps Engineer, you'll be a key player in groundbreaking advancements in artificial intelligence and GPU computing. Your expertise will drive the latest breakthroughs, providing 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, and with many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms.

What youll be doing:

Innovate and Implement: Design, implement, and maintain large-scale HPC/AI clusters with state-of-the-art monitoring, logging, and alerting systems.

Infrastructure as Code (IaC): Utilize and develop tools to manage infrastructure as code, ensuring scalable and repeatable deployments.

Streamline CI/CD Pipelines: Develop and maintain continuous integration and continuous delivery (CI/CD) pipelines to automate and streamline deployment processes.

Automate Everything: Develop automation scripts and tools to automate deployment, configuration management, and operational monitoring.

Enhance Monitoring: Deploy advanced monitoring solutions for servers, networks, and storage to ensure seamless operations.

Troubleshoot Complex Issues: Perform comprehensive troubleshooting from bare metal to application level, ensuring system reliability and efficiency.

Lead and Educate: Serve as a technical resource, developing and sharing best practices with internal teams.

Drive Innovation: Support R&D activities and engage in proof of concepts (POCs) and proof of values (POVs) for future improvements.