Jobs in Yokneam

NVIDIA is looking for a Software QA Engineer with a strong background in Networking and Automation to join our InfiniBand (IB) and NVLINK (NVL) Switch QA team. Our team is responsible for qualifying software stack for NVIDIA’s IB Switch, Router, Gateway and NVLINK systems, delivering world-class networking solutions. You will work at the heart of cutting-edge technology, validating software management features, designing topologies, developing automated test suites, and collaborating with engineering and product teams to ensure delivery of robust and scalable systems. What you’ll be doing: • Design, develop, and execute manual and automated tests as part of software stack releases. • Define, build, and manage testbed topologies for functional, regression, and performance validation. • Analyze architectural designs and feature requirements for new networking capabilities. • Debug failures, identify root causes, and verify fixes delivered by development teams. • Schedule test runs, track testing progress, and generate test status reports with detailed defect documentation. • Write and maintain automation tests across multiple frameworks (Python, Perl), enhancing test efficiency and scalability. • Collaborate with cross-functional global teams including R&D, product marketing, and system verification. What we need to see: • B.Sc. in Computer Science, Information Systems, Electrical Engineering, or related technical field. • 1-3 years of hands-on experience in the field of QA testing • Strong understanding of software testing methodologies, test planning, and bug lifecycle. • Hands-on experience in automation scripting (Python, Perl, or Shell) on Unix/Linux platforms. • Familiarity with networking concepts, protocols, and devices (e.g., switches, NICs). • Strong analytical and debugging skills with an eye for detail. • Clear verbal, proficient written and spoken English Ways to stand out from the crowd: • Experience in Python automation and working with source control tools (Git, Gerrit), Solid knowledge of Linux and kernel internals. • Hands-on experience with virtualized and mixed computing environments (KVM, VMware, Linux/Windows). • Experience using Generative AI platforms / LLMs such as Gemini, Claude, Copilot, etc. to develop tools powered by artificial intelligence. • In-depth understanding of TCP/IP, routing protocols, LAN switching, and data center topologies. • Exposure to QA methodologies, release management, and end-to-end test lifecycle. Familiarity with NVIDIA technologies such as Infiniband, NVLINK, GPUs is a strong advantage.

NVIDIA is at the forefront of high-performance computing, AI, and advanced networking. Our lab environments are the backbone of our engineering success, and we're growing our infrastructure and lab team to meet growing demand across internal development groups. This position is ideal for someone who thrives in a hands-on, fast-paced lab environment, with a passion for complicated systems, precision, and new technologies like liquid cooling. What You’ll Be Doing: • Operate and maintain lab infrastructure — including racking, cabling, servers, networking, and cooling systems • Perform physical racking, stacking, cabling, and cooling infrastructure setup • Install and maintain liquid cooling systems for lab equipment, including manifold connections, cold plate maintenance, leak detection, and coolant management • Provide first-line support to internal engineering teams, translating technical requests into executable infrastructure tasks • Maintain structured inventory and asset tracking, ensuring efficient lab operations and hardware allocation • Collaborate with cross-functional teams (QA, R&D, DevOps) to enable seamless lab support and system deployment • Document and implement standard operating procedures, safety practices, and hardware lifecycle policies • Implement solutions for automated workflows, equipment monitoring, and lab performance analysis What We Need to See: • Practical / BSc in Computer Science or Electrical/Electronic Engineer • 2+ years in infrastructure support, lab operations, or related hardware-based environments • Hands-on experience with liquid cooling technologies — installation, maintenance, and safety handling • Proficiency with Linux, bash scripting, and common IT troubleshooting methods • Familiarity with enterprise servers, networking gear, and servers management • Strong organizational, documentation, and time-management skills with attention to detail • Proficiency in independent work, prioritizing urgent tasks, and delivering under tight deadlines • Excellent English writing and oral communication skills Ways to Stand Out from the Crowd: • Experience with NVIDIA platforms, DOCA, or DPU labs • Knowledge of lab automation, DevOps pipelines, or CI/CD integration in test environments • Experience with liquid-cooled high-density racks or data center thermal optimization • Familiarity with inventory management systems and hardware documentation tools 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're creative and autonomous, we want to hear from you! NVIDIA encourages diversity at work and is an equal opportunity employer, not discriminating in hiring or promotions based on various characteristics protected by law.

As a member of the Hardware Infrastructure EDA Compute team, you will optimize, scale, and support workload scheduling systems that directly impact design velocity and infrastructure efficiency. You will combine deep scheduler expertise (LSF, Slurm) with automation, CI/CD, and LLM-based tooling to keep the EDA and GPU-accelerated AI compute environment resilient and measurable. What you’ll be doing: • Manage, scale, and optimize job scheduling systems (LSF, Slurm, etc.) in a large-scale, multi-site environment supporting EDA and other compute-intensive workloads • Analyze scheduler and infrastructure performance data to identify systemic bottlenecks and drive measurable improvements in utilization, throughput, and turnaround time • Building and improving our ecosystem around GPU-accelerated computing • Define and develop automation scripts and wrappers tools for IC Design environment • Identify recurring operational challenges and implement targeted automation or process improvements to reduce manual effort and prevent repeat incidents • Root cause analysis and suggest corrective action for problems large and small scales • Partner directly with customer teams to clarify requirements, translate technical tradeoffs, and drive issues to closure What we need to see: • Bachelor’s degree in Computer Science or related field, or equivalent experience • Minimum 5+ years of experience operating and supporting large-scale Linux-based compute infrastructure • Develop, fine-tune, and deploy advanced LLM-based solutions for [specific applications, e.g., NLP, chatbots, content generation, or data analysis • Strong hands-on experience supporting and tuning job scheduling systems (LSF, Slurm, etc.) in HPC or silicon design environments • Proficiency in Linux systems administration (CentOS/RHEL) • Proficient in modern CI/CD techniques, GitOps and Infrastructure as Code(IaC) • Proficient in Python programming and bash scripting Ways to stand out from the crowd: • Deep knowledge of job scheduling systems (LSF, Slurm, etc.) configuration tuning, scheduler internals, and advanced troubleshooting techniques • Network licenses (e.g. FLEXlm) continuous maintenance, provisioning, automation, monitoring and troubleshooting • Experience implementing reliability engineering practices within HPC scheduling environments • Experience building or enhancing observability systems, including metrics collection, monitoring pipelines, alerting strategies, and performance dashboards • Background with container technologies such as Docker, Singularity, or Podman in HPC environments

At NVIDIA, we are committed to delivering exceptional solutions in a wide range of sectors, and we are looking for engineers who share our passion and dedication to making a difference in the world through their inventions. As a Senior Package Engineer, you will work closely with SI, layout, and ASIC design teams to develop complex, top-of-the-line ASIC packages. You will be responsible for planning schedules, resolving costs, packaging, manufacturing, and electrical design issues. What you'll be doing: • Lead adhesive and bonding process development for advanced FCBGA packaging, including surface preparation, surface coatings and process optimization for applications requiring optical alignment and high dimensional stability. • Design and execute Design of Experiments (DOE) for adhesive material qualification, process window definition, and process optimization including failure analysis. • Evaluate and qualify new materials (adhesives, encapsulants, underfills) from vendors including characterization of cure chemistry, thermal stability, and mechanical properties • Define and own incoming material acceptance criteria and statistical process control (SPC) thresholds for production readiness • Collaborate with partners and material suppliers to resolve process escapes, drive 8D corrective actions, and align on specification requirements • Prepare process documentation, assembly specs, and material qualification reports • Monitor and analyze production data to identify process trends, drive yield improvements, and ensure ongoing process control across OSAT manufacturing sites. What we need to see: • B.Sc. or M.Sc. in Materials Science, Chemical Engineering, or a related field • 7+ years of experience in process engineering, with hands-on expertise in adhesive process development. • Proven experience with failure analysis techniques: cross-sectioning, SEM/EDX, optical microscopy, DSC, TGA, and FTIR • Willingness and ability to travel internationally approximately 30% of the time to support OSAT partners, supplier qualifications, and on-site failure investigations • Ability to work independently in a fast-paced, multi-program environment • Curious and creative problem solver as well as organized and multi-tasker • Team oriented, able to move and motivate peers. Strong interpersonal skills (verbal and written) • High awareness of quality, manufacturability and project schedule Ways to stand out of the crowd: • Proven record in packaging development • Background in semiconductor manufacturing processes and optical systems

NVIDIA is seeking a Physical Verification Engineer to help ensure our ASIC and SoC designs are clean, correct, and ready for tapeout. This role focuses on physical verification quality across layout data, connectivity, and manufacturing rule compliance. You will work closely with physical design, custom layout, and methodology teams to run verification flows, debug issues, and improve signoff robustness. This is an excellent opportunity for an engineer who enjoys detailed analysis and high-impact signoff work. What you’ll be doing: • Run and analyze physical verification checks such as DRC, LVS, and other tapeout-quality signoff checks. • Debug physical verification violations and partner with design teams to drive clean closure. • Review layout, netlist, and runset interactions to identify root causes and recommend fixes. • Support full-chip and block-level verification readiness across implementation milestones. • Improve physical verification flow quality, turnaround time, and automation. • Collaborate with methodology, CAD, and foundry-facing teams on rule interpretation and signoff quality. What we need to see: • B.Sc. or M.Sc. in Electrical Engineering, Computer Engineering, or equivalent experience. • 2+ years of experience in physical verification, backend implementation, or VLSI signoff. • Strong understanding of DRC, LVS, antenna, and layout verification concepts. • Hands-on experience with tools such as Calibre, ICV, Pegasus, or equivalent physical verification tools. • Ability to debug verification issues across layout, extracted views, and netlist connectivity. • Scripting ability in Tcl, Perl, Python, or shell for automation and debug. • Strong collaboration skills and attention to detail. Ways to stand out from the crowd: • Experience with advanced-node signoff and foundry rule decks. • Familiarity with stream-out/OASIS or GDSII generation and tapeout readiness flows. • Experience improving PV automation, dashboards, or regression infrastructure. 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/

The NVIDIA DOCA team is seeking a highly motivated and experienced engineer with hands-on technical expertise to develop the SDK for the next-generation Data Processing Unit, with a wide range of features and embedded systems. This position offers the opportunity to have a real impact in a dynamic, technology-focused company, impacting data centers across the world. At NVIDIA, we're united in our quest to transform the way Smart Adapters are used. What you'll be doing: • Collaborate with skilled engineers to design and implement the DOCA SDK and infrastructure • Take charge of end-to-end development for various features within DOCA • Design and develop SDK libraries focusing on networking, storage, and high-performance computing solutions • Partner with major companies to address real-world challenges that demand innovative solutions and a customer-centric approach What we need to see: • B.Sc in Computer Engineering, Computer Science, Electrical Engineering, or equivalent practical experience • 8+ years of hands-on experience with the software development lifecycle, especially in performance-critical systems • Strong programming skills in C/C++ • Familiarity with Linux environments and associated tools • Strong analytical, debugging, and problem-solving skills • Excellent communication skills and teamwork abilities. Self-motivated and well organized. • Experience with OOD/OOP Ways to stand out from the crowd • Background in networking and low-level programming (C/C++) • Experience with performance optimizations • Experience in RT embedded development or driver development within a Linux environment • Technical leadership skills • Confirmed experience in solving customer issues It's more than just technology; it's about our exceptional people, some of the brightest minds globally. NVIDIA's culture revolves around core values such as innovation, perfection, determination, and teamwork, guiding us to reach our utmost potential. This creates an environment where creativity and drive thrive, making NVIDIA one of the most innovative and dynamic workplaces. If you are passionate and motivated, we welcome you to reach out to us. 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 #LI-Hybrid

Are you passionate about working on a team that is at the cutting and bleeding edge of hardware technology? Our Design-for-Test Engineering team at NVIDIA works on groundbreaking innovations involving crafting creative solutions for DFT architecture, verification and post-silicon validation on some of the industry's most sophisticated semiconductor chips. We are looking for an experienced DFT Engineer to join the ATPG team. The position includes taking part in development of the next generation DFT technologies and working closely with a wide range of our groups and aspects - chip design, backend, verification, and production testing. Working on the most advanced technologies and complex products, our DFT solution are unique and innovative internal developments, and we are continuously improving and evolving the solution to meet the challenging goals. If you find groundbreaking Technologies, and next generation products interesting, then this is the team for you. Take opportunity to join our team for an exciting and educational environment, where every individual has significant contribution to our products and achievements! What you’ll be doing: • You will be in charge of state of the art Design for Test/ATPG flows and implementation • Take full ATPG ownership end to end on a project, from Arch & planning to pattern generation, verification and post Silicon bring up and diagnosis. • Inventing and maintaining automation flows that provide the short test time to production What we need to see: • 3+ years of hands on DFT/ATPG experience knowledge & technical experience in DFT ASIC Design and in ATPG tools • Strong programming skills in scripting languages • BSc. in Electrical Engineering or Computer engineering • Quick learner, proactive and self-motivated, eager to learn and contribute, sense or ownership, commitment, and responsibility Ways to stand out from the crowd: • Knowledge of DFT including scan, BIST, on-chip scan compression, fault models, ATPG, and fault simulation • Experience in Mentor TestKompress ATPG tool and retargeting flow • Programming languages: TCL, PRL, Phyton & Unix shell scripts • Experience with ATE and Silicon bring-up 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. If you're creative and autonomous, we want to hear from you! You will have the opportunity to work on some of the most incredible products on the market today.

NVIDIA, a leader in high-performance computing and machine learning, seeks a Senior HW program manager with technical skills for the Networking HW team. This role involves program management of our Network adapters and our Switch products, contributing to next-gen data centers. The HW Program management team within NVIDIA's Networking Business division is looking for an experienced Program Manager to join its’ team. The Program Manager will oversee the planning, execution, and end-to-end tracking of HW activities across various professional functions and organizations. This role will drive planning processes and drive execution of the programs, and will work with executives, managers and engineers within the organization and with all the interfacing organizations, while aligning with corporate’s Roadmap, priorities and targets. What you'll be doing: • Build, manage, and execute comprehensive long-term programs, including defining timelines, allocating resources, and establishing key milestones. • Coordinate across all project stakeholders, including Marketing, Project Management, Engineering, and Operations, from initial requirements definition through delivery, ensuring alignment with company strategy, commitments, and goals. • Drive cross-functional collaboration and accountability, ensuring timely execution of tasks and achievement of key milestones. • Proactively identify, assess, and manage risks in a constantly changing environment through effective prioritization. Develop innovative solutions to complex problems and collaborate with stakeholders on mitigation strategies. What we need to see: • B.Sc. in Industrial Engineering/ Mechanical Engineering / Electrical Engineering or equivalent. • At least 8 years of experience in hardware program management. • Excellent program management skills, with strong knowledge of project management methodologies and tools. • Proven ability to lead cross-functional teams and drive complex initiatives. • Excellent written and verbal communication skills in English, with the ability to effectively collaborate across cultures and geographies. • Strong leadership and interpersonal skills, with the ability to drive execution and accountability. • Team player with strong problem-solving skills; independent, accountable, and adaptable to change in a fast-paced environment. Ways to stand out from the crowd: • Experience in hardware development, design, and manufacturing. • Experience managing complex hardware development projects for Networking products. • Knowledge of data center infrastructure technologies, including hardware and software, with an understanding of electrical and mechanical systems. • Strong long-term planning and execution skills, including product lifecycle planning. • Proven technical leadership and experience in customer-facing roles.

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 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. NVIDIA is a fast-growing world leader supporting the most powerful supercomputers worldwide. Our networking products lead the industry and connect thousands of GPUs. We make outstanding artificial intelligence possible through innovative networking and computing integration. We value our people and seek excellent individuals to join us! We are looking for an experienced packaging, technology and manufacturability expert to help us build the next generation of networking products. Our networking devices depend heavily on advanced packaging methods like chiplet integration, 2.5D interposers, and co-packaged optics. Packaging choices influence schedule, cost, and yield equally with the silicon. We are looking for a packaging and manufacturability lead who will own the package technical view across our chip programs. This role partners with the advanced technology group to push technology limits in future products. Joining an outstanding team, you will highlight package risks early, bring manufacturability into design choices before they are fixed, and find co-design approaches that improve module yield. Join us in making an impact on all networking products and pushing the boundaries of technology. What you’ll be doing: • Lead the technical assessment of package risk across our chip programs — identifying failure modes in substrate, interposer and assembly integration before they reach silicon, quantifying their cost and schedule impact, and bringing them to program and technology reviews with a clear position • Drive new approaches to manufacturability across the board (package, substrate, interposer, silicon), spanning yield improvement, capacity and supply review, test strategy, thermal and assembly process maturity. Push co-design levers such as tolerance relaxation by design, testability before attach, design margins, and redundancy and partial-module recovery • Analyze module yield mechanics, reconcile predicted versus actual yield on units returning from assembly, and convert the findings into concrete design guidance • Evaluate emerging packaging and photonics technologies, including outside partner solutions, and define our product requirements — working closely with our advanced technology group What we need to see: • B.S or M.S. in Electrical Engineering, Mechanical Engineering, Materials Science or equivalent experience • More than 15 years of experience in package technology development or system integration, with multiple products carried through assembly • Deep understanding of 2.5D, chiplet and organic substrate integration. Working knowledge of assembly and module yield mechanics, including how alignment tolerance and process excursions drive assembly yield differently from defect density at the die level • Strong analytic capabilities, and passion for solving demanding technical problems • Ability to drive complex activities involving many interfaces and teams, and to hold a technical position across organizations Ways to stand out from the crowd: • Hands-on experience on an assembly floor, a foundry or at an OSAT • Experience with co-packaged optics, photonic packaging, or fiber and laser attach • Proven experience driving design-for-manufacturability into early architecture decisions • Familiar with working on large high-end ASICs and multi-die modules 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/

We are looking for a Senior Formal Verification Engineer for our NVIDIA Networking team! This is an exciting opportunity to join a hardworking Pre-Silicon design and verification team, working on groundbreaking NIC technologies. We deploy state-of-the art formal verification tools and methodologies to prove design correctness. Working in our formal verification team will expose you to a wide range of cutting edge design and technologies. Our NIC team delivers world class CPU interface and offload solutions for HPC, data-center, network, and storage markets. We micro-architect, verify, and deliver the best and most widely used high BW ethernet and IB NICs in the industry. NVIDIA has the most sophisticated formal tools and methodologies in the industry, which help us achieve A0 design tapeouts. As part of this team, you'll enjoy a versatile work environment, which is educational, dynamic and ambitious. What you'll be doing: • In this position you will use formal verification algorithms to formally prove the correctness of complicated logic problems. • You will work on ambitious designs along with our Pre-Silicon team and take part in developing the next generation of NVIDIA's core technology. • You will learn state of the art formal methodologies and advance your expertise in communication protocols and hardware implementations. What we need to see: • BSc in Electrical/Computer Engineering or MSc in Mathematics, or equivalent experience. • 5+ years of relevant experience. • Excellent analytical, logical reasoning and problem-solving skills. • Strong debugging and analytical skills. • Strong communication and interpersonal skills are required. Ways to stand out from the crowd: • Formal verification work experience. • Knowledge of digital logic. NVIDIA has 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? Come join our team and help us build the future HPC and data centers. #LI-Hybrid

NVIDIA is 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 NVIDIA’s 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 What we need to see: • B.Sc. or M.Sc. in Electrical Engineering, Computer Engineering, or Computer Science • 5+ years of hands-on experience in firmware, embedded, or low-level software development • Strong programming skills in C/C++ • Solid understanding of HW/SW interfaces and low-level system behavior • A track record of solving complex technical problems in creative, original ways • Curiosity, independence, and a passion for exploring new technologies and ideas Ways to stand out from the crowd: • Hands-on experience applying AI or LLMs to engineering workflows, such as agents, code generation, or intelligent automation • Experience building tools, frameworks, or development infrastructure • Background in networking, such as RDMA, InfiniBand, or Ethernet • Experience driving innovation or introducing new methodologies across engineering teams 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’re creative and autonomous, we want to hear from you! NVIDIA is 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 now looking for a Chip Design Verification Engineer. NVIDIA is seeking a verification engineer to join the chip design methodologies team. The team is in charge of the verification methodologies, shared code, training, and embracing new technologies. One of our main goals is to make sure that the team works in an efficient manner, and provides high-quality deliveries. This position offers the opportunity to have real impact in a dynamic, technology-focused company. What you'll be doing: • Develop shared verification code and solutions to be widely used by the chip design team. • Develop groundbreaking methodologies to create a flawless experience for verification engineers to keep the focus on new problems. • Collaborate with the design automation team to provide end-to-end solutions that combine verification, simulation, and automation. • Get in touch with EDA vendors to learn about cutting-edge tools/technology and apply them into our verification process. • Understand the design, define the verification scope, develop the verification infrastructure and verify the correctness of the design. • Collaborate with designers, verification specialists to accomplish your tasks. • Develop training sessions. What we need to see: • A Bachelor's Degree in Electrical Engineering or Computer Science. • 5+ years of relevant experience • Exposure to design and verification tools. • Strong interpersonal skills and ability & desire to innovate. Ways to stand out from the crowd: • Experience in Specman / System Verilog UVM. • Understanding simulation tools. • Experience in building test benches, evaluate coverage and debug simulation failures. NVIDIA has 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? Come join our networking verification team and help us developing great products by raising the efficiency and the quality standard in our chip design team.

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, passionate, and self-motivated, we want to hear from you! We are looking for an experienced customer-facing software and systems engineer with a strong background in enterprise infrastructure, cloud technologies, virtualization, and Kubernetes. The ideal candidate combines hands-on software engineering and troubleshooting with the ability to understand customer requirements, lead technical discussions, and work across engineering teams to deliver practical solutions. You will join a team of Solution Engineers focused on NVIDIA Networking, DGX Platforms, Container Orchestrators, Deep Learning containers, and other Enterprise-related system software. The focus of this role is user-space networking software, containerized services, and management and diagnostic tools, including those used with SONiC and NVIDIA NVOS. SW Solution Engineers spend approximately 50% of their time helping customers with their most complex problems and 50% doing R&D-related work. In this role, you will apply your experience across software, operating systems, networking, and cloud infrastructure to resolve customer issues and develop capabilities that make future investigations faster and more effective. What you'll be doing: • Take ownership of enterprise customer issues involving user-space networking software, containerized services, and infrastructure integration across on-premises, cloud, virtualized, and Kubernetes environments, driving investigations from initial engagement through resolution. • Work directly with customers to understand their architecture, workloads, and operational requirements. Lead technical discussions, structure troubleshooting activities, and communicate findings, recommendations, and next steps clearly. • Collaborate with software, platform, and networking engineering teams to solve user-space issues, analyze service dependencies, configuration, and logs, and validate fixes across relevant software versions and deployment environments. • Develop software tools and automation that improve the deployment, availability, reliability, and supportability of NVIDIA Enterprise solutions. • Own the development and ongoing operation of NVEX Networking tools, dashboards and automation pipelines. Prioritize improvements, maintain code and test coverage, manage releases and documentation, and automate diagnostic collection, environment preparation, issue reproduction, validation, and reporting to accelerate customer issue resolution. • Share troubleshooting knowledge, guide engineers through technical reviews, and help customers and internal teams adopt reliable deployment and operational practices. What we need to see: • BSc in Computer Science, Electrical Engineering, Computer Engineering, or a related field, or equivalent practical experience. • 8+ years of experience across software engineering, systems engineering, or technical solution delivery, including hands-on development and troubleshooting of complex enterprise environments. • Extensive experience working directly with enterprise customers, translating requirements into technical solutions, leading technical discussions, and communicating effectively with engineering and business stakeholders. • Strong analytical and problem-solving skills, intellectual curiosity, self-motivation, and the ability to collaborate across technical disciplines and take issues through to resolution. • A strong software engineering background, including development of tools and automation, source control, code reviews, automated testing, pipeline implementation, and flow/agent automation. Hands-on scripting experience. • Practical experience with cloud and virtualized infrastructure, including compute, virtual networking, hybrid connectivity, deployment, and operations on platforms such as AWS or Azure. • Hands-on experience with Kubernetes and containerized workloads, including deployment, configuration, monitoring, and troubleshooting of the supporting infrastructure. • Experience working with Linux and Windows environments and troubleshooting application and service behavior, configuration, logs, resource usage, and network connectivity. Ways to stand out from the crowd: • Experience deploying, operating, and troubleshooting containerized applications with Docker, Kubernetes/EKS, or ECS, including service lifecycle, configuration, and dependencies. • A record of developing reusable software tools, scripting, infrastructure as code, and engineering pipelines adopted across teams. • Experience automating large-scale server or network environments, including provisioning, software and tool deployment, Linux/Windows compatibility matrices, software-version testing, and test-result aggregation. • Experience implementing centralized logging, monitoring, and reporting with tools to support troubleshooting and operational visibility. • Experience in production deployments, or complex troubleshooting engagements, together with technical workshops, mentoring, and cross-team collaboration.

NVIDIA is looking for a passionate Senior Software Engineer to join our Simulation development team. Our team is growing, and we are looking for hardworking and experienced engineers to take part in building advanced networking simulation solutions. You will be part of a team developing next generation NIC and Switch simulation, works closely with other SW R&D teams and SW Architects. What you will be doing: • Design and develop advanced features simulating our world class Switches • Develop solutions using advanced virtualization technology • Write clean, efficient and maintainable code • Collaborate with team members, SW R&D, Architects, Chip Design and FW What we need to see: • B.Sc. degree or equivalent experience in Computer Science / Software Engineering • 5+ years of experience • Proficient knowledge and experience in C/C++ • Strong design, coding, analytical, debugging and problem-solving skills • Full ownership & end-to-end responsibility • Excellent social and written communication skills Ways To Stand Out From The Crowd: • Can do attitude, independency and agility • Ability to quickly adapt to new technology and go deep into new areas • Understanding of Networking Protocols – Ethernet, InfiniBand is an advantage • Knowledge of Virtualization, especially with KVM/QEMU is an advantage • Knowledge of Linux/Windows kernel and drivers development is an advantage 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're creative and autonomous, 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.

NVIDIA’s Performance Group is seeking a technical NIC & DPU Performance Research & Analysis Engineer to drive end-to-end performance strategy, characterization, optimization and HW offload accelerations for next-generation network interfaces and Data Processing Units (DPUs). In this role, you will analyze and accelerate critical networking and storage technologies and protocols powering multi nodes AI clusters. You will profile performance across the complete hardware-to-software execution stack—stretching from DPU Arm CPU subsystems and PCIe to high-speed RDMA, SPDK, and DOCA acceleration pipelines. What You’ll Be Doing: • Data-Path Optimization: Drive end-to-end benchmark plans, performance characterization, expectations and optimizations for NICs and DPUs deployed in distributed AI and cloud data centers. • Full-Stack Profiling: Profile low-level memory, PCIe, host CPU, and DPU ASIC execution paths to identify micro-architectural stragglers, queue bottlenecks, and tail-latency outliers. • Storage & Network Acceleration: Hands-on acceleration and offloading of storage (SPDK, NVMe-oF, VirtIO) and networking protocols (RDMA/RoCEv2, TCP/IP, DOCA). • AI-Assisted Workflow Automation: Leverage AI agents, autonomous scripts, and automated regression frameworks to scale continuous performance evaluation. • Cross-Functional RCA: Partner closely with Architecture, ASIC, Firmware, and Software engineering groups to conduct rigorous Root Cause Analysis (RCA) and establish performance targets for upcoming pre- and post-silicon platforms. What We Need to See: • B.Sc. or M.Sc. in Computer Science, Computer/Electrical Engineering, Software Engineering, or equivalent practical experience. • 5+ years of experience in low-level networking, storage acceleration, and systems-level performance tuning in cloud or HPC environments. • Direct hands-on experience with at least two of the following: DOCA, SPDK, VirtIO, RDMA/RoCEv2, TCP/IP. • Strong programming proficiency in C, Python, and Linux shell scripting (Bash). • Micro-architectural understanding of modern CPU/ASIC memory hierarchies, PCIe Gen 5/6 interconnects, and Linux kernel networking stacks. • Proven track record using AI coding agents or automated script generators to streamline daily engineering workflows. Ways to Stand Out from the crowd: • Deep hands-on experience tuning NVIDIA BlueField DPUs, ConnectX SmartNICs, or custom hardware offload engines. • Mastery of the full SPDK & NVMe-oF (NVMe over Fabrics) storage stack over high-speed RDMA transport layers. • Comprehensive system-level understanding across x86 (Intel/AMD) and Arm architectures, PCIe topology, and GPUDirect Storage (GDS). • Proven experience isolating stragglers and tail latency in multi-tenant, cloud-scale environments.

Description At CodeValue, we are looking for a System QA Engineer to join our team and work on complex, multidisciplinary systems. This role involves end-to-end system testing, including requirement analysis, test design, execution in lab environments, and validation of integrated systems. You will work closely with cross-functional teams and take part in system integrations and testing activities both in-house and occasionally at customer sites. Responsibilities: • Design and execute system-level tests for complex, multidisciplinary systems • Analyze system requirements and write detailed test specifications • Conduct test reviews and ensure coverage and quality • Execute tests in system labs and integrated environments • Analyze test results, report defects, and verify fixes • Participate in system integration activities and validation processes • Collaborate with development, product, and QA teams • Work with test management and defect tracking tools Requirements • Bachelor’s degree in Software Engineering / Computer Engineering • 3-4 Years Hands-on experience in system testing of complex systems • Strong understanding of system architecture and multidisciplinary environments • Experience in requirement analysis and test design • Experience writing formal test documentation • Experience with test and defect management tools (e.g., TFS, Jira) • Knowledge of communication protocols (e.g., TCP/IP, REST API, WebSocket, SNMP) • Familiarity with network monitoring and performance testing tools • Understanding of software testing methodologies and SDLC • Good English (reading and writing) • Strong analytical thinking and problem-solving skills • Ability to work independently and collaborate with multiple stakeholders

Description CodeValue is looking for an experienced DevOps Engineer to join our team and work on challenging infrastructure and cloud projects. The ideal candidate has hands-on experience with cloud platforms, Kubernetes or OpenShift, and building and maintaining DevOps infrastructure. This role requires strong scripting skills, a proactive approach to troubleshooting, and the ability to collaborate with Development, Networking, and Information Security teams. Key Responsibilities • Build, configure, deploy, and maintain cloud-based DevOps infrastructure. • Deploy, manage, and maintain Kubernetes or OpenShift clusters and containerized environments. • Develop Python and Bash scripts to automate infrastructure operations and routine processes. • Support infrastructure stability, availability, performance, and ongoing maintenance. • Collaborate with Development, Networking, and Information Security teams to deliver reliable and secure infrastructure solutions. • Troubleshoot complex infrastructure and deployment issues and drive them to resolution. • Contribute to infrastructure automation and CI/CD processes. Requirements • 4+ years of hands-on experience as a DevOps Engineer – mandatory. • Hands-on experience with public cloud platforms, including AWS and/or GCP – mandatory, including infrastructure planning, deployment, and operations. • Strong experience with Docker and containerization – mandatory, including container management and runtime environments. • In-depth knowledge of Kubernetes (K8s), OpenShift (OCP), and/or RKE – mandatory, including deployment and cluster management. • Proven experience designing, developing, and maintaining end-to-end CI/CD pipelines, using Jenkins, Azure DevOps, GitHub Actions, and/or GitLab CI – mandatory. • Hands-on experience with Git and version control – mandatory. • Strong scripting skills in at least one of the following: Python, Bash, PowerShell (PS1), Batch, or Groovy – mandatory. • Experience working with Linux and Windows environments – mandatory. • Experience with Infrastructure as Code (IaC) tools, such as Terraform, CloudFormation, and/or Ansible – mandatory for Terraform and/or CloudFormation; Ansible is an advantage. • Experience with Helm for Kubernetes package management – an advantage. • Experience with JFrog Artifactory and/or Xray for artifact management and security – a significant advantage. • Familiarity with DevSecOps principles, secure development practices, and pipeline security – an advantage. • Good understanding of GitOps methodologies – an advantage. • Good understanding of networking concepts – an advantage. • Experience working in air-gapped or disconnected environments – an advantage. • Previous software development experience – an advantage. • Current professional AWS and/or GCP certifications – a significant advantage. • Experience leading a DevOps team – a significant advantage. • Ability to collaborate effectively with development and infrastructure teams, provide technical support, and troubleshoot complex issues with an emphasis on automation. • Location: Jerusalem / North Israel

Description We’re looking for a motivated and people-driven Talent Acquisition Specialist to join our growing HR team at CodeValue. In this role, you’ll manage the end-to-end recruitment process for a variety of technical roles, from sourcing and screening to offer stage. You’ll also take part in employer branding initiatives, help strengthen our presence in the tech community, and collaborate closely with hiring managers to attract top talent. This position is an excellent opportunity for someone who’s passionate about technology and people, and who’s eager to develop their career in a dynamic, innovative environment. What You’ll Do: • Lead the end-to-end recruitment (E2E) process for technological positions. • Conduct proactive sourcing across multiple platforms and channels. • Partner with hiring managers to define role requirements and recruitment strategies. • Drive employer branding initiatives and social media presence. • Ensure an exceptional candidate experience throughout the process. • Collaborate with HR and management to align recruitment efforts with business needs. • Requirements 3-4 years of experience in recruitment or sourcing — experience from an agency or placement company Genuine interest in the tech industry and motivation to learn about new technologies and roles. Excellent communication and interpersonal skills. Proactive, detail-oriented, and well-organized approach.