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our team is looking for a senior DevOps engineer to join us and take ownership of the ci/cd infrastructure, automation pipelines, and development tooling that power our engineering teams. this position plays a key role in enabling fast, reliable, and scalable software delivery - from code commit to TEST execution and reporting. you will be the go-to expert for DevOps practices, collaborating closely with software engineers, validation teams, and infrastructure stakeholders across the organization.
what you'll be doing:
design, implement, and maintain ci/cd pipelines for software and validation projects, ensuring fast, stable, and automated delivery workflows
own and evolve the DevOps infrastructure - including build systems, artifact management, deployment automation, and environment provisioning
develop and maintain automation tools, scripts, and integrations that streamline Developer workflows and reduce manual overhead
collaborate with validation, infrastructure, and software engineering teams to define and enforce DevOps best practices across the organization
monitor system health, pipeline reliability, and build performance; identify bottlenecks and continuously improve observability and stability
manage containerization and orchestration solutions (docker, kubernetes) for TEST environments and internal services
support the integration of automated testing frameworks into ci/cd flows, ensuring TEST coverage and results are tracked and visible
evaluate and introduce new DevOps tooling and methodologies to keep the team at the forefront of engineering efficiency

we are looking for an excellent firmware design engineer for our fw phy group. the person will closely work with our fw development, architecture, chip design teams and gain deep understanding of our networking products and technologies.
we have some of the most forward-thinking and hardworking people in the world working for us. are you a creative and autonomous engineer who loves a challenge? are you ready to become the engineer you always wanted to be? come and be part of the best chip design team in the industry!
what you'll be doing:
enabling new serdes and optical technologies
implement fw functionality in signal processing units of our products
work closely with the architecture, hw, and sw design teams
define implement and maintain fw algorithm to control the silicon
develop and TEST fw on emulation & simulation environments during the pre-silicon phase
debug and screen hw/fw/sw issues
take an active part in silicon bring-up and sw development phases
lead data -driven discussions about the product functionality and areas for improvement
we are an equal opportunity employer and value diversity at our company. we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. we will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. please contact us to request accommodation.
#li-hybrid

we are looking for an firmware engineer to join the qos nic firmware team at the yokneam or tel-aviv 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. 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.
what you will be doing:
take part in research, design, and development of qos and fw algorithms, enhancing performance, reliability, and scalability.
provide hw-aware technical guidance for core fw development, prioritizing maintainability to ensure long-term code reliability and performance.
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.

we are looking for a strong hands-on verification manager to lead the growing sdk verification team.
this role combines leadership with deep technical involvement, working closely with sdk design and architecture teams while building expertise in networking protocols and our networking technologies.
what you'll be doing
lead, mentor, and grow a team of Verification engineers
promote quality, automation, and scalability
oversee development and optimization of apis, tools, and libraries, and maintain os verification infrastructure
improve automation workflows for fast and reliable sdk releases and drive evolution of ci/cd pipelines
work closely with hardware, firmware, DevOps, and software teams
align on verification methodologies and infrastructure improvements
stay hands-on while leading
guide design reviews and architecture discussions and define best practices for verification excellence

run:ai, has evolved ai infrastructure by merging gpu virtualization with kubernetes-native capabilities. our world class ai platform allows organizations to improve productivity and efficiency for data scientists and Machine Learning engineers. with deep kubernetes expertise and a focus on innovation, we are dedicated to developing cutting-edge technologies and delivering the best User Experience for our customers. we are looking for highly skilled software engineers to join our platform group and help shape the future of ai infrastructure.
the role of a senior software engineer in the platform group is to design and develop scalable, high-performance systems that support the next generation of ai workloads. you will collaborate with experts across domains, tackle complex challenges, and drive innovations that empower our users to push the limits of ai capabilities.
what you'll be doing:
designing and developing enterprise-grade systems with a strong focus on scalability, reliability, and performance.
building and optimizing microservices-based architectures using kubernetes and cloud-native technologies.
collaborating closely with backend engineers, product managers, and other stakeholders to deliver impactful solutions.
writing clean, maintainable, and testable code in go
conducting code and design reviews to uphold high-quality standards and mentor team members.

we are looking for a best-in-class chip design Verification engineer to join our outstanding networking silicon engineering team, developing the industry's best high-speed communication devices and delivering the highest throughput and lowest latency! join us to play a key role in verifying our groundbreaking, innovative chips, and work in a meaningful, growing, highly professional environment where you can make a huge impact at a technology-focused company.
what you'll be doing:
work on a design and verification team developing the Front-End design for the switch silicon.
develop verification components and reference models, and verify and simulate chip blocks to specifications under challenging constraints, with a strong focus on power, area, and performance.
work closely with multiple teams within organizations such as architecture, micro- architecture and fw.

we are looking for a talented software engineer to join the ai solutions team in our Linux networking drivers organization. our mission is to bring ai into every stage of how we build software: design, development, verification, debugging, and release. we build ai agents and tools that make our engineers faster and our drivers better.
this is a hands-on development role in a field that changes every few months. you will turn new ai capabilities into solutions that engineers use every day, and you will help decide where ai can make the biggest difference next. if you are passionate about ai and want to apply it to a complex, real engineering domain, we want to hear from you.
what you will be doing:
design, develop, and deploy ai agents and tools for the software development lifecycle.
work with developers and Verification engineers to understand their workflows and find where ai can help most.
measure the quality of ai solutions and improve them based on data.
connect ai solutions to engineering systems and data, and run them reliably in production.
follow the fast progress of ai models and tools, and bring the best of them into the team's work.

we have 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 a member of our team, you'll be immersed in an inclusive, 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.
we are looking for outstanding software engineers to join the run:ai core team. the team is responsible for building the next generation of gpu sharing and checkpoint-restore technologies within cuda and the open-source ecosystem. in this role, you will design sophisticated low-level architectures and collaborate with global engineering teams across the entire gpu software stack, contributing to the cuda ecosystem that powers ai and ml workloads across the world.
what you'll be doing:
work and design enhancements for cuda libraries and system drivers
contribute to open-source frameworks, engaging with the community and users
build a complex multi-threaded modular architecture of low-level components that interact with the os and each other in distributed environments
effectively write efficient, maintainable, and well-tested code for Linux powered systems.
develop a solution that can run on bare-metal, on-prem, and cloud environments (docker containers, kubernetes)
work with other worldwide teams (software, hardware, architecture)

we are looking for an excellent software director for the switch nvlink and infinband sw group. you will join the switch verification team and take our product to the next level, working closely with hw, fw, and verification teams and gain a deep understanding of our products and technologies. 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 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.
what you'll be doing:
be responsible for the verification and quality of features in switch os, switch bmc and bsp code
define, develop and design process, manage teams of junior and experience SW engineers.
work with a continuous integration system, regression tools a.i development systems
be responsible for our ib and nvlink switch product work closely with the testing team, support team and customers.
innovate! bring our switching products to shine in customer's view.

run:ai, is looking for a senior software engineer to build the tools that help engineers develop, validate, and contribute software with confidence. as we expand our open-source ecosystem and adopt agentic development, you'll shape how contributions are tested and integrated, improve feedback for developers, and help protect our codebase and internal assets. you'll work across Developer tooling, compatibility validation, scale testing, and ai-assisted contribution workflows, building infrastructure that supports both our engineering teams and the wider open-source community.
what you'll be doing:
build Developer tools and ci workflows that simplify development, testing, and contribution for internal engineers and open-source contributors.
develop compatibility validation infrastructure that verifies run:ai across supported software versions and environments.
build scale-testing and performance-regression infrastructure that produces repeatable results and actionable diagnostics.
develop workflows for agentic prs, including automated evaluation, testing, and controls that support effective human review.
partner with engineering, DevOps, and security teams to enable external contributions while protecting credentials, internal systems, and code integrity.
own projects from technical design through rollout, measuring their impact on Developer productivity and software reliability.

we are seeking a senior firmware engineer to join our nic firmware team and help shape how firmware is built using ai. you will be part of a team rethinking firmware development from the ground up, applying ai and automation to create smarter, faster, and more scalable infrastructure for our next-generation network adapters and supernics. these devices power the world's largest ai factories and data centers, and the infrastructure you build will speed up how we design, validate, and deliver them. we are looking for a creative problem solver who questions how things have always been done, sees opportunities others miss, and enjoys turning bold ideas into practical solutions. you will work at the intersection of low-level firmware, networking hardware, and ai, alongside talented engineers across firmware, software, architecture, and ai teams.
what you'll be doing:
design and build ai-driven infrastructure, tools, and workflows that change how firmware for next-generation network adapters is developed, validated, and released
identify bottlenecks in the firmware development lifecycle and solve them with creative, unconventional approaches using ai, llm-based agents, and intelligent automation
explore and prototype new ideas quickly, evaluate what works, and turn successful concepts into robust solutions adopted across teams
apply deep firmware and system knowledge to make sure ai-driven solutions are grounded in the real behavior of low-level hardware and software
collaborate with firmware, software, architecture, and ai teams to define new methodologies and set the technical direction for ai adoption in firmware engineering
act as a technical leader and influence engineering culture by sharing knowledge, challenging assumptions, and inspiring others to think differently.
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. if you're creative and autonomous, we want to hear from you! we are dedicated to encouraging a diverse work environment and is an equal opportunity employer. we value diversity in our employees and do not discriminate in our hiring or promotion practices based on various characteristics protected by law.

we are looking for an excellent senior firmware engineer to join the firmware team. the firmware team develops groundbreaking networking features for cloud, hpc and Storage. we drive the data growth of the world's biggest companies. with many hardworking engineers around the globe, the work environment is complex, results-oriented and fast paced.
what you will be doing:
collaborate across software, hardware and architecture teams to define, plan and deliver on commitments, following all the way through the development process from design, development, chip bringup to productization.
multiple opportunities to collaborate and communicate effectively with teams from all around the globe.
heavily involved with the early modeling and simulation required to produce our outstanding products.
implement new features for our nic, switch and gpu firmware.
work with multiple processors that running the same code.
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 a leader in computer graphics, pc gaming, accelerated computing, and ai. within the company, the networking business unit is building chips, systems, and software that power the most advanced data center and hyper-converged networks of today and tomorrow. the bluefield data processing unit (dpu) and our connectx series of smartnics ignite outstanding innovation for modern data centers by offloading, accelerating, and isolating a broad range of sophisticated networking, Storage, and security services.
we are looking for a highly motivated software engineer with experience in data forwarding technologies, Linux Kernel and container networking, network functions virtualization (nfv), and related areas to join our team and work on innovative offload solutions. you will develop software for various networking offload and virtualization use cases as well as data forwarding on ethernet switching platforms. you will use the latest software development tools and techniques and gain extensive knowledge of modern data center architectures and workload acceleration.
what you'll be doing:
design, develop, TEST, and maintain new functionality and improvements to existing functionality related to offloading various networking services.
design, develop, TEST, and maintain system software components related to networking.
work on data forwarding functionality on ethernet switching platforms.
lead and guide cross-functional teams on large feature development activities.
collaborate with team members, architects, QA, and support teams on feature definition, development, release, and bug fixing.

we are looking for a senior hpc ai cluster engineer to join the networking clusters solutions hpc/ai infrastructure team. we are building supercomputers and ai clusters based on groundbreaking technologies. we are looking for a system administrator to be a key player to the most exciting computing hardware and software to contribute to the latest breakthroughs in artificial intelligence and gpu computing
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. does this sound like you? if so, we would love to hear from you!
what you will be doing:
deploy, manage and maintain large scale hpc/ai clusters
managing Linux job/workload schedules and orchestration tools
support and maintain continuous integration and delivery pipelines
troubleshooting and fixing, bottom up from bare metal, operating system, software stack and application level
supporting research & development activities and engaging in pocs/povs for future improvements.

we are powering the world's most advanced ai factories. keeping them running depends on our 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.