Software Engineer jobs in Ra'anana

Job Summary: The Red Hat OpenShift Virtualization team is looking for a Principal Software Engineer in Ra’anana Israel. In this role, you will help improve the stability, performance, and reliability of Microsoft Windows workloads running on OpenShift Virtualization. You'll join a dedicated team focused on investigating complex Windows issues, identifying root causes, and developing long-term solutions. You'll use your Windows expertise to address technical challenges across different components, working closely with engineering teams and external technology partners. As a Principal Software Engineer, you'll help shape technical decisions, improve the overall Windows virtualization experience, and mentor other engineers. You'll also have the opportunity to expand your expertise in Linux, Kubernetes, and open source technologies, eventually contributing to upstream projects such as KubeVirt and QEMU. What you will do • Investigate and resolve complex Windows guest issues, including system crashes, performance problems, and interoperability challenges. • Design and implement improvements to Windows stability, performance, and compatibility within OpenShift Virtualization. • Collaborate across engineering teams, upstream communities, and external technology partners to solve technical challenges. • Identify systemic issues and develop solutions that improve the broader product, including problems beyond your team's immediate area of responsibility. • Provide technical leadership, mentor engineers, and contribute to architectural decisions and software quality improvements. • Contribute to upstream open source projects as you develop expertise in the Linux and Kubernetes ecosystem. What you will bring • Interest in upcoming and new Windows features • In depth knowledge of Windows operating systems, including system internals and troubleshooting complex system level issues. • Experience with advanced debugging, root cause analysis, and resolving complex Windows problems. • 5+ years of experience in software engineering, systems engineering, IT architecture, administration, or a related technical field. • Ability to collaborate effectively across teams, approach problems from a broader product perspective, and take ownership of solutions beyond your immediate area of expertise. • Good written and verbal communication skills in English. • Interest in learning and working with Linux, Kubernetes, and open source technologies. The following is considered a plus • Experience with Windows kernel debugging, crash dump analysis, or tools such as WinDbg. • Programming experience with languages such as C/C++, Go, or Python. • Familiarity with virtualization technologies such as Hyper-V, KVM, QEMU, or VMware. • Experience with Kubernetes, OpenShift, KubeVirt, or open source development. • Experience with Windows enterprise workloads such as SQL Server or Active Directory. #LI-OA1 About Red Hat Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Inclusion at Red Hat Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email [email protected]. General inquiries, such as those regarding the status of a job application, will not receive a reply.

At D-Fend Solutions, our people are our greatest strength — and technology is our passion. Our team of innovators and subject matter experts, including veterans of elite military intelligence technology units, is transforming the way organizations protect themselves from drone threats. As the global leader in cyber-takeover counter-drone technology, we design and deliver advanced, software-defined solutions that empower our customers to detect, take control, and safely land unauthorized drones — with precision and reliability. Every day, we push the boundaries of innovation to meet real-world security challenges across industries and environments. We’re proud of our cutting-edge technology, our global reach, and the impact we make in securing the skies. We’re seeking passionate professionals who thrive in a fast-paced, creative, and collaborative environment — those who want to be part of the next generation of airspace security innovation. Join D-Fend Solutions and help make the world a safer place. Become a D-Fender! Work with the world’s leading cyber-takeover counter-drone technology provider and shape the future of safe airspace. The Role: We are building a brand-new Platform group and have already recruited a strong foundational team. We are now looking for a Lead Technical Anchor to act as a Key Technical Partner to the Principal Architect. You will be one of the main players in the group, acting as the primary driving force to ideate, design, implement, maintain, and monitor a massive multi-tenant SaaS distributed ecosystem and inference platform. This mission-critical platform operates across three tiers: • Cloud (Worldwide SaaS) • On-Premise (Gateways / MSC2) • Edge Device Sensors (SDR / IoT tactical devices) We need a heavyweight engineer with the battle scars of planning and designing distributed systems from scratch, but who is still "hot on code" and loves being deeply hands-on. We operate with a strict 'You Build It, You Run It' culture. (Note: While this role is heavily focused on backend architecture and platform infrastructure, we believe in end-to-end ownership. You will occasionally dive into the frontend (React) to deliver complete features). What You Will Do: • Key Technical Partner: Work in close partnership with the Principal and Software Architect to translate high-level architectural vision into production reality. • Architect Distributed Systems: Lead the design, planning, and implementation of highly complex, high-throughput distributed systems from the ground up, ensuring seamless data ingestion and inference across Edge, On-Prem, and Cloud layers. • Lead by Example in Code: Write extremely sharp, scalable, and maintainable code. You will set the engineering standards for the rest of the team using Node.js, Express, and NestJS. • End-to-End Ownership: Take full ownership of the software lifecycle—from architectural design and backend coding to automated deployment and production monitoring. Ensure the high availability and observability of our multi-tenant SaaS environment. • Backend & Infrastructure Focus: Design and implement high-performance backend tasks, robust infrastructure, and high-throughput Backend-for-Frontend (BFF) layers utilizing both REST and gRPC protocols to process real-time sensor data and telemetry. Requirements: • Background: B.Sc. in Computer Science (from a leading university) OR Alumnus of an elite military technology unit. • Experience Level: 7+ years of overall software engineering experience, with at least 5+ years of hardcore backend development focusing on distributed systems. • Expert Coder: You are still deeply hands-on and "hot on code". • Core Backend Stack: Expert-level knowledge of JavaScript (JS) and TypeScript (TS). Deep, authoritative expertise in Node.js, Express, and NestJS, alongside a profound understanding of the JS Event Loop and asynchronous programming. • Distributed Systems: Proven, battle-tested experience planning, designing, and implementing complex, high-throughput distributed systems from scratch. • Cloud Native: 5+ years across on of AWS, Azure, or GCP with a focus on managed services (Serverless, EKS/AKS/GKE, auto-scaling). • Architecture: Proven experience with Event-Driven Design (one of Kafka, RabbitMQ, Redis Stream) and Microservices. • State Management: High-speed in-memory state (Redis) and relational data stores (PostgreSQL). • SaaS & Security: Expertise in secure, multi-tenant SaaS, ideally with knowledge of Zero Trust Architecture (ZTA) and mTLS. • Containers: Hands-on experience with Docker and basic Kubernetes. • Frontend Willingness: Practical experience with React and a strong willingness to touch client-side code when necessary to deliver end-to-end features. Big Advantages: • Infrastructure as Code: Deep expertise treating infrastructure as software using Server-less Framework, Terraform, AWS CDK. • AI Tooling: Experience enriching and optimizing development using dev-assisting GenAI tools (such as Cursor, CoPilot, or ClaudeCode). • Data Scale: Experience with time-series telemetry pipelines and long-term storage tiering. • Observability: Experience implementing observability stacks (Prometheus, Grafana, ELK, Datadog). • Additional Tech: Python 3.6+ experience and multi-process/threaded application knowledge.

Description We’re a fast-moving, US-Israeli AI startup building next-generation infrastructure for the world’s most demanding AI workloads. Our mission is to accelerate the future of intelligence and make it ubiquitously accessible by delivering full stack custom AI servers optimized for large-scale inference and training. Backed by top-tier investors and led by industry veterans, we’re scaling rapidly. We seek forward-thinking engineers and operators who thrive in a collaborative environment and excel at solving complex challenges from first principles. If you want to build infrastructure that fundamentally changes what the world can accomplish with AI, come join us! About the position  We are looking for an experienced, highly skilled and motivated Software Engineer to join our core team. In this role, you will be responsible for designing, developing, and maintaining critical components of our AI-driven software stack. You will work on the core interfaces that allow applications, frameworks, and APIs to communicate efficiently and reliably with our hardware. This is a hands-on technical position where you will solve complex problems, optimize for performance, and contribute to the next generation of our technology. Responsibilities  • Develop and maintain key components of Majestic software stack, including API layers, command submission pipelines, and memory management • Collaborate with hardware architects to influence the design of next-generation chips and ensure a smooth software/hardware co-design • Work with kernel-space driver developers to define and implement the user/kernel interface • Debug complex issues across the entire stack, from user applications to the underlying hardware • Optimize code for maximum performance, throughput, and efficiency Requirements • Bachelor’s or Master’s in Computer Science, Computer Engineering, or a related field from a recognized university • Proven experience developing software for Linux, with a solid grasp of OS fundamentals like memory management, multi-threading, and inter-process communication • 5-10 years of experience in software development • Proven experience in C programming • Knowledge in GPU programming • Excellent communication skills with a strong track record of cross-functional collaboration Preferred Qualifications  • Experience with Python and C++ • Knowledge of GPU or other accelerator architectures (e.g., CUDA, OpenCL, ROCm) • Knowledge of HPC applications development • Experience in linux kernel-space development We seek smart, curious, self-driven individuals who enjoy creative problem-solving and continuous learning. Even if you don't meet all requirements, we'd love to hear from you if you have the mindset to tackle complex challenges. Majestic Labs is an equal opportunity employer deeply committed to diversity of background and thought. If you are ready to dare greatly, learn from mistakes, engage in vigorous debates, and help create a step-function shift in human technical capability, we want to meet you!

Description DriveNets is a leader in high-scale networking software for AI infrastructure and service providers. The company pioneered a disaggregated networking architecture that transforms the economics of large-scale networks while maximizing performance, utilization, and operational efficiency. DriveNets-powered networks are deployed by global leaders, including AT&T and Comcast, supporting more than 30% of total U.S. internet traffic. DriveNets AI Fabric delivers full-stack networking for AI infrastructures, providing the highest-performance, Ethernet-based alternative to InfiniBand. The solution is deployed by hyperscalers, NeoClouds, and enterprises worldwide. With over $1B raised, DriveNets continues to push the boundaries of modern networking infrastructure. About the Role The data-path group provides core components for our products. We design and develop the data plane features for a large-scale distributed system – for example, forwarding information base, quality of service, security and telemetry. We gain a deep understanding of ASIC architectures and work directly with chip SDKs to configure the hardware and implement these features. We're looking for a software engineer with a passion for software development, solid C/C++ skills, and real excitement about the way AI is changing how software gets built. Our product evolves quickly and priorities shift, so we want someone who is easy-going, flexible, energetic, and adaptable to change. Responsibilities • Design, develop and debug data-plane features in C/C++ for a large-scale distributed system • Own features end to end – from design through implementation, testing and production • Make AI tools part of your daily workflow to move faster and increase quality, and help the team discover new ways to use them • Investigate and resolve complex issues across a multi-component system • Collaborate closely with other engineering groups, QA and product teams What We Offer • Work on core technology running in some of the largest networks in the world, including AT&T and Comcast • A team that adopts AI tools early and gives you room to experiment with them Requirements Minimum requirements: • At least 2 years of hands-on software development experience • Proven experience with C or C++ • Enthusiasm for AI – you actively use AI tools in your development work and are eager to explore what they can do next • Easy-going and flexible, comfortable with shifting priorities and quick to adapt to change Advantages: • BSc degree in Computer Science or Engineering • Knowledge of or experience in networking • Experience with Python programming If your experience is close but doesn't fulfill all requirements, please apply. DriveNets is on a mission to build a special company comprised of individuals with different backgrounds, perspectives, and experiences. DriveNets is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with disability, or other applicable legally protected characteristics. More About DriveNets Based in Israel with locations in Romania, US and Japan as well as extended teams, DriveNets operations cover more than 16 countries. With recognition by industry analysts and through numerous industry awards, DriveNets is pushing market momentum, allowing for faster service innovation from the network core to the edge. Visit our website: Transformative Networking Solutions | DriveNets

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. We seek an SW Automation Engineer to join our Ethernet Switch SONiC Network OS. As a Automation Engineer at NVIDIA, you will have to work closely with NVIDIA’s development and architecture teams responsible for SONiC Network OS and gain a deep understanding of NVIDIA products and technologies. What you’ll be doing: • Participate in an international team of software engineers working on products for testing NVIDIA products • Design and implement robust, maintainable, and efficient automation test suite • Work with Continuous integration systems and regression tools, automate builds, and test suites, generate test reports, isolate and classify failures and review new degradation. • Innovate! Bring SONiC NOS to shine in customer's view What we need to see: • B.Sc. degree or equivalent experience in Engineering/Computer Science/related field • 2+ years of experience as a Software Engineer • Intrinsically motivated with a desire for automation programming • Programming skills in Python • Strong technical abilities, problem-solving skills, coding, and design skills Ways to stand out from the crowd: • Linux knowledge: have a general understanding of Linux operation system concepts • Strong communication and interpersonal skills, with the ability to motivate and inspire others. • Knowledge in one or more Networking areas: Ethernet, VLANs, TCP/UDP/IP, QoS, L2-L3 protocols • Prior software testing experience, with an understanding of Software Testing Tools and Methodologies, and python expertise. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, disability status or any other characteristic protected by law.

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 world’s 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. What we need to see: • B.Sc. or equivalent experience in Computer Science or Software Engineering • 5 years’ experience in modern C++ / C / Rust development • 3 years’ experience in Linux environment and familiarity with development tools • Deep knowledge of the TCP/IP network stack • Understanding of computer architecture and operating systems concepts Ways to stand out from the crowd: • Background in Linux internals and low-level software optimizations (benchmarking, bottleneck research, performance tuning) • Experience in programming CUDA kernels is an advantage • Familiarity with ML frameworks and LLMs • Background in parallel programming / high-performance computing / RDMA technology At NVIDIA, we are passionate about supercomputing and powerful ground-breaking technologies. Our products span many areas, such as: high-performance computing (HPC), Machine Learning, cloud services, storage and more - and we've only scratched the surface of what can be accomplished. We need hardworking and creative people to help us seek some of these outstanding opportunities. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the smartest engineers in the world working for us and, due to extraordinary growth, our elite engineering teams are fast-growing fast. If you're a creative and autonomous manager with a sincere passion for technology, we want to hear from you. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is looking for a creative and motivated Software Engineer to join our SONiC open source NOS team. Our team is responsible for the design and integration of SONiC across NVIDIA Networking products. In this role, you’ll have the opportunity to work on next-generation, high-speed networking solutions for AI data centers, contribute to open-source projects, and collaborate with experts across NVIDIA and the broader SONiC community. You’ll help lead the development of new SONiC networking features and chassis management capabilities across NVIDIA Networking products. We’re looking for someone who enjoys solving complex technical challenges, learning quickly, and collaborating in a dynamic and diverse team environment. What you’ll be doing: • Design, integrate, and deliver new features as part of the SONiC release train across NVIDIA Networking products. • Develop networking and chassis management capabilities for next-generation platforms. • Work in a Continuous Deployment environment with fast development and deployment cycles. • Collaborate with experienced teams across NVIDIA Networking and with members of the broader SONiC open-source community. • Develop high-quality, production-ready code that is published and reviewed in leading open-source environments. • Take ownership of features from design and implementation through integration and delivery. What we need to see: • B.Sc. in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience. • 3–5 years of software development experience. • Understanding of networking concepts and protocols. • Experience with C++ and Python • Experience using AI development tools or building AI agents. • Strong technical problem-solving skills and the ability to learn new technologies quickly. • A collaborative mindset with strong communication and interpersonal skills. Ways to stand out from the crowd: • Hands-on experience with L2 and L3 networking protocols. • Experience with SONiC, SAI, or other open-source networking projects. • Experience with Rust. • Familiarity with Linux and shell scripting. • Experience working with Scrum or other Agile development methodologies. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, disability status or any other characteristic protected by law. #LI-Hybrid ​

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. We seek an SW Automation Engineer to join our Ethernet Switch SONiC Network OS. As a Automation Engineer at NVIDIA, you will have to work closely with NVIDIA’s development and architecture teams responsible for SONiC Network OS and gain a deep understanding of NVIDIA products and technologies. What you’ll be doing: • Participate in an international team of software engineers working on products for testing NVIDIA products • Design and implement robust, maintainable, and efficient automation test suite • Work with Continuous integration systems and regression tools, automate builds, and test suites, generate test reports, isolate and classify failures and review new degradation. • Innovate! Bring SONiC NOS to shine in customer's view What we need to see: • B.Sc. degree or equivalent experience in Engineering/Computer Science/related field • 3+ years of experience as a Software Engineer • Intrinsically motivated with a desire for automation programming • Programming skills in Python • Strong technical abilities, problem-solving skills, coding, and design skills Ways to stand out from the crowd: • Linux knowledge: have a general understanding of Linux operation system concepts • Strong communication and interpersonal skills, with the ability to motivate and inspire others. • Knowledge in one or more Networking areas: Ethernet, VLANs, TCP/UDP/IP, QoS, L2-L3 protocols • Prior software testing experience, with an understanding of Software Testing Tools and Methodologies, and python expertise. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, disability status or any other characteristic protected by law.

We are looking for a talent Software Engineer to join our Ethernet Switch SONiC Network OS. At NVIDIA, we have amazing GPUs that power AI applications, but they also require a high-performance network to support them. As a team member, you will have the opportunity to create innovative software that optimizes AI networks for the best performance possible. In this position you will take part in SONiC large worldwide community, contributing new features, bugs fixes and have NVIDIA Switch products running with SONiC NOS in production in different clusters over the world. About SONiC: https://sonicfoundation.dev/ What you'll be doing: • Design and implement features as part of the SONiC release train on top of NVIDIA Switch products • Be part of NVIDIA SONiC R&D team, contribute code to SONiC worldwide community • Work in a Continuous Deployment environment of fast development/deployment cycles • Work with experienced teams which are well known in the SONiC community What we need to see: • B.Sc. degree in Computer Science or equivalent experience • 8+ overall years of experience in technical software development • Experience in C++ and Python programming on top of Linux operation system • Fast and self learner with outstanding communication and technical skills • Motivated, responsive, and keen on process improvement Ways to stand out from the crowd: • Experienced in software development on open source project • Experienced in Networking protocols: L2 and L3 • Background in Linux shell scripting • Scrum methodology and active scrum master Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is looking for an excellent Software Engineer to join the InfiniBand Switch and NVLink FW group in Tel-Aviv / Raanana. As the team member, you will be part of a major development effort for the next-generation networking products. The verification team develops cutting-edge networking features for cloud, HPC and storage. We drive the data growth of the world’s 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: • As a Senior Software Engineer at NVIDIA, you will part of a group of firmware verification engineers, using your expertise in C++ and Python in an Agile methodology. • Develop the verification process, aligning with quality standards and project timelines. • Design and implement new features in the core of NVIDIA Switch and GPUs • Drive and facilitate the planning, scheduling, and execution of the project and activities of the team • Collaborate with architecture and different software design teams as part of the software development lifecycle. • Work in pre and post-silicon development environments of next-generation NVIDIA networking products. • Gain a deep understanding of networking technology, system debugging and stacks, as well as the HW/FW/SW relationship. • Innovate! Bring NVIDIA’s FW switching products to shine in customer’s view What we need to see: • B.Sc degree or equivalent experience in Computer Science, Computer Engineering, or Electrical Engineering • 5+ years of relevant overall professional experience • Proficient knowledge of C++, Python. • Experience with Embedded SW development. • Strong analytical, creative, debugging, and problem-solving skills. • Detail-oriented and comfortable with multitasking in a dynamic environment with shifting priorities and changing requirements. • An excellent teammate with good interpersonal skills. Ways to stand out from the crowd: • Knowledge of network protocols. • Background with CI methodology & tools (Git, Gerrit, Jenkins etc.) • Background in Linux internals NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is building the software foundation for the next generation of AI infrastructure. As AI workloads continue to evolve, Kubernetes and the cloud-native ecosystem must evolve with them. Our team’s mission is to make Kubernetes the best platform for AI workloads. We work upstream with the Kubernetes and CNCF communities to design new APIs, build production-grade implementations, and shape the future of cloud-native infrastructure for AI. As a Senior Software Engineer, you'll tackle the most challenging problems at the intersection of Kubernetes, distributed systems, and AI infrastructure. What you'll be doing • Design, implement, and upstream new capabilities for Kubernetes and CNCF projects. • Collaborate with engineering teams across NVIDIA to identify AI infrastructure challenges and solve them through upstream innovation. • Work closely with Kubernetes SIGs, Working Groups, and the broader open-source community to design and implement new capabilities. • Participate in architecture discussions, API design, technical proposals, and code reviews. • Build reliable, scalable infrastructure software for next-generation AI workloads. • Write clear technical documentation and design proposals. What we need to see • B.Sc/M.Sc or higher in Computer Science, Computer Engineering, or a related field or equivalent practical experience. • 5+ years of software engineering experience building distributed systems, cloud infrastructure, or platform software. • Deep understanding of Kubernetes and the cloud-native ecosystem. • Experience extending, building, or contributing to Kubernetes-based solutions. • Strong communication skills and the ability to collaborate across engineering teams and open-source communities. • Curiosity, adaptability, and an interest in learning AI infrastructure. Ways to stand out from the crowd • Active contributor to Kubernetes, CNCF, or other open-source infrastructure projects. • Leadership experience in open-source communities, such as maintainer, reviewer, approver, SIG/WG leadership, or similar roles. • Experience designing Kubernetes APIs, authoring KEPs, or driving community proposals through upstream processes. • Experience with Kubernetes scheduling, networking, Gateway API, workload APIs, or other core Kubernetes subsystems. • Understanding of AI infrastructure, including inference systems, GPU scheduling, distributed serving, or LLM infrastructure. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered one of the technology world's most desirable employers. We have some of the most forward-thinking engineers in the industry solving the hardest infrastructure problems at global scale. If you're excited about building the future of Kubernetes through open source and enabling the next generation of AI infrastructure, we'd love to hear from you.

NVIDIA is looking for an excellent Software Engineer to join the InfiniBand Switch and NVLink FW group in Tel-Aviv / Raanana. As the team member, you will be part of a major development effort for the next-generation networking products. The verification team develops cutting-edge networking features for cloud, HPC and storage. We drive the data growth of the world’s 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: • As a Senior Software Engineer at NVIDIA, you will part of a group of firmware verification engineers, using your expertise in C++ and Python in an Agile methodology. • Develop the verification process, aligning with quality standards and project timelines. • Design and implement new features in the core of NVIDIA Switch and GPUs • Drive and facilitate the planning, scheduling, and execution of the project and activities of the team • Collaborate with architecture and different software design teams as part of the software development lifecycle. • Work in pre and post-silicon development environments of next-generation NVIDIA networking products. • Gain a deep understanding of networking technology, system debugging and stacks, as well as the HW/FW/SW relationship. • Innovate! Bring NVIDIA’s FW switching products to shine in customer’s view What we need to see: • B.Sc degree or equivalent experience in Computer Science, Computer Engineering, or Electrical Engineering • 2+ years of relevant overall professional experience • Proficient knowledge of C++, Python. • Experience with Embedded SW development. • Strong analytical, creative, debugging, and problem-solving skills. • Detail-oriented and comfortable with multitasking in a dynamic environment with shifting priorities and changing requirements. • An excellent teammate with good interpersonal skills. Ways to stand out from the crowd: • Knowledge of network protocols. • Background with CI methodology & tools (Git, Gerrit, Jenkins etc.) • Background in Linux internals NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is 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 NMX product line. What you'll be doing: • The team develops infrastructure for controlling, monitoring and gathering telemetry from production environments, running on the world’s largest supercomputers and data centers. • 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 What we need to see: • B.Sc. or equivalent experience in computer science / software engineering. • 5+ years’ experience in Programming in Python and C/C++. • 3+ years’ experience in Linux environment and tools. • Expert knowledge in computer architecture and operating systems. • Experience in performance optimizations. Ways to stand out from the crowd: • You have positive attitude and work well with others. • Demonstrated use of creative ideas, providing solutions to challenging problems. • Deep knowledge of Networking Protocols (InfiniBand, Ethernet). NVIDIA has continuously reinvented itself over two decades. NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. This is our life’s work — to amplify human imagination and intelligence. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us and, due to extraordinary growth, our elite engineering teams are growing fast. If you're a creative and autonomous manager with a real passion for technology, we want to hear from you. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #LI-Hybrid

NVIDIA is powering the world’s most advanced AI Factories. Keeping them running depends on NVIDIA’s AI Ops platform for large-scale AI infrastructure — continuously ingesting telemetry from GPUs, NICs, switches, and links across the fleet, and delivered both as a high-scale SaaS service and as self-contained on-premises software for enterprise customers. We are looking for a Senior Software Engineer to help make this platform deployable, operable, and scalable across customer-controlled environments ranging from a single node to tens of thousands of GPUs. This role sits at the intersection of platform software and runtime reality: packaging, configuration, deployment automation, upgrades, survivability, and large-scale operational correctness. What you’ll be doing: • Build the deployment platform underneath the product: packaging, configuration, environment validation, upgrade paths, rollback flows, and runtime safeguards. • Own deployability across Kubernetes, cloud, on-prem, and restricted or air-gapped environments. • Design and improve the mechanisms that make the system installable and supportable at scale: Helm charts, deployment manifests, configuration schemas, dependency validation, readiness checks, and operational tooling. • Partner with backend and feature teams to ensure services are production-ready on day 1 and still correct on day 400. • Improve platform resilience: design for partial failure, misconfiguration, restarts, state loss, and degraded environments. • Turn scale and benchmark findings into concrete deployment guidance, sizing recommendations, and supported topologies. • Help evolve the platform from legacy deployment models toward a modern Kubernetes-based operational model. What we need to see: • B.Sc. or M.Sc. in n Computer Science, Computer Engineering, or a related technical field (Courses, Eligibility, Fees & Verified Programs), or equivalent practical experience. • 5+ years of software engineering experience in platform, infrastructure, runtime, or deployability-focused roles. • Hands-on experience with Kubernetes and production deployment tooling such as Helm, operators, or GitOps workflows. • Strong programming and automation skills in one or more of Go, Python, Bash, or similar. • Experience shipping software that other organizations install and operate themselves. • Practical experience with distributed systems and production services that fail independently and must remain correct under partial failure. • Strong debugging skills across Linux, networking, containers, and service runtime behavior. • Experience with CI/CD, release engineering, environment validation, or infrastructure-as-code. Ways to stand out from the crowd: • Experience delivering software into on-prem, customer-controlled, or air-gapped environments. • Experience with Kubernetes deployability at scale, including upgrades, rollback, configuration management, and day-2 operations. • Familiarity with telemetry, observability, monitoring, or AI/HPC infrastructure. • Experience turning operational pain points into productized solutions: pre-install validation, deployment standards, support tooling, or automated recovery paths. • A systems mindset: you can move comfortably between code, runtime, infrastructure, and customer reality.

NVIDIA is powering the world's most advanced AI Factories. To ensure their seamless operation, we are building a mission-critical Observability and Prediction platform - delivered as both a high-scale SaaS solution and a robust on-premises deployment for our largest enterprise customers. We are looking for a Senior Software Engineer to join the AIOps platform team and help build the core distributed systems that ingest massive telemetry streams from GPU clusters and operationalize predictive AI models at scale. You will work at the intersection of high-performance data engineering and production ML, turning research algorithms into reliable, mission-critical software. What you'll be doing: • Architect and build an agentic AIOps system that autonomously monitors GPU fleet health, aggregates and correlates massive telemetry streams, surfaces intelligent alerts, and orchestrates multi-step diagnostic workflows and corrective actions - powering real-time dashboards, automated root-cause analysis, and proactive incident response. • Research, evaluate, and prototype data storage strategies and data representations across diverse database technologies and modalities, ensuring AI models are trained on high-quality, well-structured data that improves predictive accuracy and generalization. • High-Scale Engineering: Design distributed systems to handle the extreme telemetry density of large-scale AI clusters, ensuring efficient data ingestion, processing, and real-time analysis. • Instrument services with deep observability (metrics, logs, traces) to support rapid debugging and continuous performance improvement. • Build and own the model-serving infrastructure that operationalizes predictive algorithms at scale - packaging, versioning, deploying, and monitoring AI models in both SaaS and on-premises environments. • Contribute to the platform's core libraries and abstractions that accelerate development across the broader AIOps engineering team. What we need to see: • B.Sc./M.Sc. in Computer Science, Computer Engineering, or a related technical field. • 8+ years of software engineering experience building production distributed systems. • Core Systems Programming: Expert-level proficiency in languages such as Go, C++, or Rust, with a focus on high-performance, concurrent architectures. • Solid understanding of Kubernetes and container-based deployments for production services. • Experience deploying, monitoring, and maintaining ML models or data-intensive services in a production environment. • Comfort working in ambiguous, fast-moving environments where the product is still being shaped. Ways to stand out from the crowd: • Experience building ML model-serving platforms or MLOps tooling (model registries, A/B rollout frameworks, feature stores) at scale. • A track record of taking systems from prototype to stable, production-grade platform serving real enterprise customers. • A "Systems" Thinker: You don't just write software; you understand the full stack, from how data moves across the wire to how it’s processed in a distributed cluster. • Practical Innovation: The ability to simplify complex problems and build internal tools or frameworks that empower other engineering teams to move faster. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you are passionate about building mission-critical systems at the frontier of AI infrastructure, we want to hear from you.

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. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. Are you ready to help safeguard the most important assets of the most valuable company in the world! Our Cryptographic Services team runs the Simple Signing Service (3S) — the HSM-backed platform that signs every NVIDIA product before shipping including our Networking business unit's every release: SpectrumX, Quantum, NVLink, ConnectX, BlueField and DOCA. Today that platform is operated entirely from the US. This role will expand and accelerate the signing platform engineering and scales the operational support to Israel. You would be the first member of Cryptographic Services located in Israel, and the local owner of signing services. We intend to grow this into a local team. Are you ready to help build it! What you'll be doing: • Own 3S for Israel-based teams during local hours: triage, debug, resolve, and advance with context when it needs the wider US and India team. • Do the engineering, not just the ticket. Review and deploy production fixes, and take root causes back into the platform so the same failure does not return. • Onboard Networking and other Israel-based teams onto signing and key generation flows, and make that onboarding fast. • Drive AI-enabled automated self-service — the 3S Copilot, our MCP integrations, runbooks and docs — so the region can unblock itself without waiting for any time zone. • Be the regional voice in our planning: bring release calendars and bring-up achievements into our roadmap before they become blocking issues. • Partner closely with the US and India teams, and with Networking DevOps and release management in Israel. • Help hire and mentor the team as it grows, including interviewing and onboarding the engineers who follow you. What we need to see: • BS or MS in Computer Science Engineering or a related field of study (or equivalent experience). • 10+ years building and operating production software, with real ownership of a service — you have carried an on-call "pager" and resolved incidents under release pressure. • Strong hands-on engineering in Python, Java, Go or similar, with AWS, Kubernetes, CI/CD and infrastructure as code. • Solid understanding of applied cryptography — PKI, digital signatures, key management — or the demonstrated ability to go deep in an unfamiliar technical domain quickly. • Clear communication in English, and the judgement to keep customers advised during an incident rather than after it. Ways to stand out from the crowd: • Hands-on experience with code signing, HSMs, secure boot or software supply chain security. • Familiarity with NVIDIA Networking release and build environments — Gerrit, GitLab, Artifactory, firmware and DOCA pipelines. • You use AI and agentic tooling to remove repetitive work, and are pragmatic about where it helps and where it does not. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Are you ready to help build next generation solutions for High-Performance Web Servers and Proxy Servers, Content Delivery Networks, Financial Service market's High-Frequency Trading (HFT) platforms, High-Performance Disaggregated Storage? NVIDIA is looking for an Excellent Senior Software Engineer to develop groundbreaking networking acceleration solutions for variety of markets. Development is done in an exciting and Agile environment on a widely deployed products that need constant improvements. What you’ll be doing: • Design and develop high performance networking solutions based on NVIDIA's outstanding ConnectX and Bluefield networking cards hardware. • Work in a startup mode/group developing groundbreaking networking solutions. • Development of the entire solution’s stack, from application level to networking card hardware access. • Development of kernel bypassing user space TCP/IP stack on top of our outstanding networking card hardware. • Invent and implement creative ways to improve performance and scalability. • Large scale and high quality deliveries. • Work closely with customers and partners. • Collaborate with multiple teams in our multi-functional environment on developing new features/improvements. What we need to see: • B.Sc. or M.Sc. in Computer Science or Electrical Engineering or equivalent experience. • 5+ years of experience in each of the following areas: Software development in C/C++, Networking protocols, Linux environment. • Strong design, coding, analytical, debugging and problem-solving skills. • Ability to quickly adapt to new technology and go deep into new areas. • Independence and agility. • Good social and interpersonal skills. Ways to stand out from the crowd: • Experience with low latency acceleration and performance improvement. • Experience with Linux user space/driver/kernel development. • Deep knowledge and understanding of TCP/IP stack. • Good view of system architecture and performance. NVIDIA is widely regarded as one of the most desirable employers in the technology world. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

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. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is seeking a highly skilled and modern software engineer to develop and prototype brand new advancements in distributed training and inference using NVIDIA’s Spectrum-X AI fabric. This role offers a rare chance to pioneer AI and networking technology, contributing to ground-breaking projects that will define the landscape of large-scale AI systems. Improve AI app-networking connection by refining communication, crafting congestion control, coding NIC firmware, and expanding switch SDK features for enhanced AI factory efficiency. Your work impacts large AI system development, scaling, and speed. What you’ll be doing: • Prototype end-to-end solutions to improve distributed training and disaggregated inference performance. • Analyze and optimize communication flows across application, transport, and network layers. • Develop system software spanning communication libraries, drivers, and firmware integrations. • Collaborate with hardware, firmware, and SDK teams to co-design network features. • Validate and integrate prototypes into NVIDIA’s AI infrastructure and products. What we need to see: • BSc/MSc/PhD in Computer Science or Electrical Engineering • 5+ years of relevant experience and/or knowledge • Deep understanding of networking and communication internals — NCCL, RDMA/RoCE, congestion control. • Hands-on experience with HW/SW/FW integration and low-level programming (C/C++, kernel, drivers). • Some background in distributed training systems (such as PyTorch DDP, Megatron-LM, DeepSpeed). Ways to stand out from the crowd: • Demonstrated innovation and leadership turning prototypes into impactful product features. • Experience with programmable data planes (P4, eBPF, DOCA SDK, or switch SDKs). • Familiarity with NIC firmware scheduling, in-network compute, or congestion management. • Contributions to open-source projects, academic papers, or performance benchmarking tools. • Strong background in AI factory architectures, distributed inference, or network telemetry. NVIDIA is known as one of the most sought-after employers globally. You’ll be part of a high-impact team that develops technologies shaping the future of AI networking and distributed computing. If you’re enthusiastic about crafting the future — we look forward to hearing from you!

NVIDIA is looking for an excellent Software Engineer for the Switch SDK Group. You will join the SDK group and take our product to next level, working closely with various other design and architecture teams and gain a deep understanding of NVIDIA’s products and technologies. 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. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. What you’ll be doing: • Design, develop, optimize and maintain APIs, tools and libraries for Switching, Routing, Analytics, Telemetry and many other modules • Collaborate with team members, Architects, QA teams, and customers (both external and internal) • Innovate & rapidly develop POC prototypes that can then be developed into full-fledged products/solutions What we need to see: • B.Sc. in Software Engineering / Computer Science / related field or equivalent work experience will be considered as well • 10+ years of experience as a Software Engineer, including experience with C programming • Experience with Embedded/ RT Embedded systems • Excellent C programming skills, with a keen eye for performance and writing optimized code • Strong analytical skills, deep knowledge of algorithms and proficiency with data structures • Excellent communication and documentation skills Ways to stand out from the crowd: • Previous experience with Ethernet Switching or Routing protocols • Hands on Linux development, user-space and/or kernel-space NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #LI-Hybrid

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. We seek an SW Automation Engineer to join our Ethernet Switch SONiC Network OS. As a Automation Engineer at NVIDIA, you will have to work closely with NVIDIA’s development and architecture teams responsible for SONiC Network OS and gain a deep understanding of NVIDIA products and technologies. What you’ll be doing: • Participate in an international team of software engineers working on products for testing NVIDIA products • Design and implement robust, maintainable, and efficient automation test suite • Work with Continuous integration systems and regression tools, automate builds, and test suites, generate test reports, isolate and classify failures and review new degradation. • Innovate! Bring SONiC NOS to shine in customer's view What we need to see: • B.Sc. degree or equivalent experience in Engineering/Computer Science/related field • 5+ years of experience as a Software Engineer • Intrinsically motivated with a desire for automation programming • Programming skills in Python • Strong technical abilities, problem-solving skills, coding, and design skills Ways to stand out from the crowd: • Linux knowledge: have a general understanding of Linux operation system concepts • Strong communication and interpersonal skills, with the ability to motivate and inspire others. • Knowledge in one or more Networking areas: Ethernet, VLANs, TCP/UDP/IP, QoS, L2-L3 protocols • Prior software testing experience, with an understanding of Software Testing Tools and Methodologies, and python expertise. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. NVIDIA is committed to encouraging a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, disability status or any other characteristic protected by law.