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We are looking for an excellent Senior Firmware Engineer to join the NVLink FW group in Tel-Aviv / Raanana. As a Senior Engineer you will be taking part in designing, implementing and leading major development firmware features, delivering the next-generation data center products who lead the AI revolution.
The Firmware team develops cutting-edge networking features for cloud, HPC and AI. 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. Are you ready for the challenge?
What you will be doing:
Collaborate with architecture and different software design teams as part of the software development lifecycle.
Design and implement new features in the core of our NVLINK firmware.
Work in pre and post-silicon development environments of next-generation networking products.
Gain a deep understanding of system debugging, networking technology, and stacks, as well as the HW/FW/SW relationship.
Innovate! Bring our FW NVLINK products to shine in customers view.

We are hiring exceptional software engineers to build and optimize the core inference infrastructure for large language models. Join the TensorRT‑LLM team - the group defining how generative AI performs at global scale on our GPUs. Were looking for engineers who love squeezing every drop of throughput, memory efficiency, and scalability out of modern model runtimes. Your work will directly shape the frameworks behind state‑of‑the‑art LLM inference used across the company and the AI community. Join us to redefine what fast means for LLM inference - building the frameworks that power the next generation of generative AI at scale.
What you'll be doing:
Design, implement, and optimize high‑performance inference pipelines for large language models running on GPUs
Profile and tune model execution across the stack - from scheduler design to kernel fusions and everything in-between
Design and experiment with memory management strategies for improved memory bandwidth optimization and cache efficiency
Innovate and Implement cutting-edge techniques such as Speculative Decoding, Context Caching, and FP8/INT4 quantization to push the boundaries of tokens-per-second-per-watt
Develop and maintain benchmarking and testing systems that quantify latency, utilization, and efficiency.

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 looking for a Senior Software Engineer to join the SDK Verification team. The SDK enables developers to rapidly create applications and services on top of our 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:
Support DevOps initiatives by developing and maintaining CI/CD pipelines to automate build and deployment processes, and by improving monitoring and observability across services
Contribute to maintaining both physical and cloud-based infrastructure, including troubleshooting and resolving hardware and system-level issues
Debug and analyze complex system-level issues to identify root causes and drive timely resolution
Contribute to the development of verification infrastructure, tackling complex technical challenges to enhance coverage, scalability, and robustness of DOCA services
Engage in the full software development lifecycle of verification components, from design and architecture through implementation and validation
Develop automation to simulate real-world environments and design tests to validate the functionality and performance of the DOCA platform.

Required Senior Software Verification Engineer
Become part of a company with over 25 years of leadership in computer graphics, PC gaming, and accelerated computing. The Networking Software Group is growing fast, and we need a Senior Software Verification Engineer to join the InfiniBand Switch Software Development team. This role offers the opportunity to collaborate with a global, diverse group of engineers working closely in small teams to develop new technologies.
As a Senior Software Verification Engineer, you will be immersed in a modern Python-based software project, using advanced techniques to solve complex issues. You will gain outstanding insights into the workings of operating systems, Linux kernel, and the construction of large-scale networks. Our teams apply the latest software engineering methodologies and tools in an agile fashion to ensure timely releases. Are you ready for this challenge?
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.
Build, develop, optimize, and maintain an OS/Kernel verification testing platform.
Collaborate with team members, architects, build, 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.

NWe are seeking a highly skilled Senior Performance Engineer to join our Performance and R&D organizations. In this role, you will help build and evolve systems that support performance analysis, telemetry, and optimization for large-scale GPU- and CPU-based clusters used in AI and high-performance computing environments. You will work closely with hardware, networking, firmware, and software teams to collect, analyze, and interpret performance data from live systems. This is a fast-paced R&D environment where system behavior and requirements evolve rapidly, requiring adaptable engineering solutions and strong analytical thinking.
What youll be doing:
Profile, benchmark, and analyze AI and HPC workloads on GPU and CPU clusters
Explore performance characteristics of high-performance networking and collective communications (e.g., NCCL, RDMA, MPI, RoCE)
Identify performance bottlenecks across networking, compute, memory, and system architecture
Develop and enhance performance analysis, benchmarking, and diagnostic tools
Define performance test plans and establish expectations for new technologies and platforms
Collaborate across hardware, firmware, networking, systems, and software teams to provide actionable performance insights
Support telemetry collection and data refinement efforts to enable accurate performance analysis
Maintain high standards for data quality, reproducibility, and traceability of performance results.

We are looking for an excellent Software Developer to work on our cloud platforms based on Kubernetes. We are seeking an experienced engineer who is deeply technical, hands-on, and has a wide system view. You will design, build and deploy high-performance and scalable clouds based on our superior ConnectX and Bluefield NICs and SpectrumX AI platform. We want to grow our teams with the smartest people in the world. If you're creative and autonomous, we want to hear from you!
What you'll be doing:
Design and implement new features to accelerate Network and Storage
Work closely with open source communities, participate in the relevant working groups
Work with different teams across
Mentor members of the team, enabling them to deliver high-quality software.

We seek a versatile Senior Software Engineer who is passionate about performance optimization and generative AI. Our team brings the latest research in LLM inference - from novel decoding strategies to quantization schemes - into production across Our hardware lineup, from large data center servers to powerful edge devices. We work on the most advanced architectures in the field, with a focus on our own.
What you'll be doing:
Implement and optimize inference algorithms for LLM and omnimodal architectures, including hybrid Mamba-Transformer and mixture-of-experts models
Profile inference pipelines using our profiling and simulation tools. Correlate simulation predictions against real hardware across data center and edge devices
Write and tune GPU kernels (CUDA, Triton) for operators like fused MoE layers, SSM state updates, and quantized GEMMs
Solve distributed inference problems: expert parallelism, communication-compute overlap, collective tuning, multi-node deployment
Build production-grade software inside major open-source libraries - vLLM, SGLang, Dynamo, FlashInfer
Own optimization features end-to-end, from scoping through delivery, collaborating with research, product, and engineering teams worldwide.

Required Senior Software Engineer - Networking
We are building state-of-the-art accelerated computing platforms that know no boundaries. 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 are looking for a highly motivated and experienced SW networking senior software engineer to join our SAI development team.
This is an outstanding opportunity to join our high performance multi-site team and to work on some of the most pioneering technologies, implement and lead cutting-edge networking features for cloud, HPC and AI networks. 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 youll be doing:
Develop first tier features, with groundbreaking multi-protocol networking technology.
Lead features from planning through design and development, until delivery to the customer.
Work closely with other development teams, arch and verification to ensure features delivery on time with high quality.
Gain deep understanding of our products and technologies.

We are looking for a phenomenal engineer to join the chip simulation team for networking chips and GPUs. This simulation platform enables Our engineers across firmware, SDK, and OS domains to develop and test their code without relying on physical hardware. If you're a creative, self-driven engineer passionate about systems-level design and eager to build technology that empowers internal teams, we want to hear from you.
What Youll Be Doing:
Develop and maintain simulation infrastructure components for different simulation teams (GPUs, switches, NVLink, Ethernet, PHY) of our high-performance networking chips.
Define, implement, and validate simulations of core infra features, improve performance, maintain multi processes and multi-threaded IPC mechanisms (sockets, queues etc.), define architecture and the building blocks of the simulation.
Own, extend and optimize all the CI/CD of the simulation team, starting from servers installation to adding and maintaining various Jenkins jobs that help developer and improve their life.
Collaborate with chip architects, firmware developers, and hardware design teams to accurately simulate complex behaviour in software.
Support internal users by debugging simulation flows and collaborating on bug resolution.
Take part in future-facing innovation by enabling simulation for next-generation devices and features.

Required Senior Software Engineer, Data Center Workloads - Infrastructure
We are pioneers in innovation, transforming computer graphics, PC gaming, and accelerated computing for over 25 years. Our team is driven by powerful technology and outstanding people who expand the limits of whats achievable. Now, we are unlocking the potential of AI to usher in the next era of computing.
As part of our engineering organization, you will play a key hands-on role in developing and executing software-driven characterization workflows on our rack-scale systems. This role is focused on running AI workloads across the full stack to analyze, characterize, and optimize power, performance, and drive behavior at system level. This is an opportunity to work at the intersection of software, infrastructure, silicon, and large-scale AI platforms, with direct impact on next-generation systems.
What youll be doing:
Develop and run software tools, automation, and workloads to characterize power, performance, and drive behavior across our rack-scale systems.
Execute AI and system-level workloads to stress and evaluate behavior across the stack, including GPUs, CPUs, networking, storage, firmware, drivers, and system software.
Build automated frameworks for data collection, telemetry, validation, correlation, and analysis of characterization results.
Investigate system behavior under different workloads and operating conditions to identify bottlenecks, anomalies, and optimization opportunities.
Work closely with hardware, firmware, driver, system software, performance, and validation teams to define characterization methodologies and debug cross-stack issues.
Support bring-up, validation, and readiness activities for new rack-scale platforms and AI infrastructure.
Create clear documentation, test flows, and repeatable processes to improve coverage, efficiency, and reproducibility.

We are searching for an innovative Software Engineer that will join us and be part of a SW team
In this role you'll:
Be responsible of the full life cycle development of several key applications including: Technical and statistical research, design, coding and integration
Developing and integrating new and existing software as part of a large-scale system
Tackle tough problems and find creative ways to solve them
Write high quality, functional code using C++/Rust development
Leverage our in-house autonomous tools to manage all development flow, from setting up our development environment to creating git branches and deploying services to production
Be the owner of your domain to ensure code quality, performance, and scalability of our products
Manage and complete tasks using TDD, continuous integration and modern development processes
Coach and mentor other developers and help them elevate their skills while investing in your personal growth
Be working independently but as a part of a strong and collaborative team

We are looking for an exceptional Hardware Simulation Engineer for the ChipSim team. You'll build software systems that validate our next-generation datacenter GPUs before they exist in silicon - enabling firmware, driver, and architecture teams to develop in parallel with chip fabrication. Working closely with hardware architects and cross-functional teams, you'll create simulation platforms for networking features like NVLink and InfiniBand that power the world's largest AI supercomputers.
What You'll Be Doing:
Develop and maintain simulation models for next-generation networking hardware features
Build validation frameworks and test suites for InfiniBand and NVLink protocol implementations
Create automation tools and CI/CD pipelines for regression testing and result analysis
Design developer-friendly simulation environments that enable rapid iteration and debugging
Collaborate with hardware, firmware, and software teams to ensure accurate chip behavior modeling.

We are looking for an excellent highly motivated Senior SW Verification Engineer with experience in embedded software development to join the software testing team in the Data Processing Unit (DPU) SW Group. We are looking for a candidate with a strong quality-oriented mindset, the ability to thrive in an environment with complex software and hardware designs, and a passion for deep-dive verification of key DPU components. The role includes working closely with HW, FW, and SW teams all over the world, and take our product to next level.
What youll be doing:
Design and implement comprehensive verification plans and automated environments, using Python, to validate high-end hardware and software which is at the forefront of innovation
Lead end-to-end feature validation, from architectural review to final system integration, ensuring robust HW-SW interoperability
Identify, analyze, and report software defects, inconsistencies, and other quality issues
Make better product quality by improving tests coverage
Take an active part in development, integration and verification with R&D
Drive improvements for performance, quality, stability around SW acceleration solutions
Stay up to date with industry best practices, new technologies, and emerging trends in software verification.

We are seeking a Senior Software Engineer to join the Host-Based Networking (HBN) team. HBN is a high-impact product within the DOCA ecosystem, providing the networking foundation for the AI Factory and massive-scale GPU clusters. By offloading the networking stack to the BlueField DPU, our service enables hardware-accelerated, tenant-aware connectivity for the worlds most advanced AI infrastructure.
We are looking for a versatile engineer who is ready to lead technical initiatives and drive the development of networking systems that power the next generation of AI. If you are a quick learner with a passion for high-performance networking and complex system-level challenges, we want to hear from you.
What youll be doing:
Design DPU-Resident Services: Design and implement networking features for our containerized service running directly on the BlueField DPU platform.
Optimize System Performance: Develop and maintain the forwarding daemon, bridging Linux networking states with hardware acceleration for wire-speed performance.
Forwarding & Protocol Integration: Implement hardware-accelerated forwarding (e.g., VXLAN) and integrate with L3 control planes (BGP, EVPN) to support multi-tenant isolation.
System-Level Debugging: Analyze and resolve complex interactions between the HBN container, the DPU kernel, and low-level networking drivers.
Shaping Technical Direction: Partner with architecture teams to design and integrate next-generation networking features for production-ready hardware within the DOCA ecosystem.
Lead Technical Initiatives: Drive the software lifecycle of key components, from initial design through to large-scale deployment and production support.