Jobs in Tel Aviv-Yafo

We are seeking a talented and driven Senior Software Verification Engineer to join our innovative team and tackle SW verification challenges in the domains of high-speed networking, virtualization, and security. You will play a key role in validating and testing complex software products that support Ethernet and InfiniBand protocols, delivering advanced networking, storage, and security services for cloud, compute, and AI workloads. What You’ll Be Doing: • Develop and Automate Testing: Design, implement, and maintain automated test scripts and frameworks (primarily in Python) to verify the correct functionality of our software products. • End-to-End Feature Ownership: Deep dive into feature sets, taking responsibility from test planning through to final implementation and full automation. • System & Integration Validation: Validate software functionality and performance through system-level and integration testing, utilizing Linux-based environments and virtualization tools. • Test Environment Management: Set up, maintain, and optimize test environments using Linux, Docker, virtual machines, and other modern tools. • Collaboration & Communication: Work closely with software, DevOps, architecture, and product teams to define test requirements, coordinate releases, and ensure high-quality product delivery. • Continuous Improvement: Drive design verification flows, contribute to methodology improvements, and leverage planning/tracking systems to manage release progress and build release indicators. • Defect Analysis: Analyze test results, file defects, and track issues to closure, ensuring robust and scalable solutions. What We Need to See: • Bachelors/master’s degree in computer science or computer engineering, or equivalent experience • 5+ years of experience in software testing, QA automation, or software engineering. • Strong proficiency in Python and scripting for automation. • Solid experience with Linux-based environments, including system tools and command-line utilities. • Proven understanding of computer networking and modern Linux operating systems. • Familiarity with software testing, integration, and system validation practices. • Excellent problem-solving, critical thinking, and communication skills. • Ability to work independently, manage multiple tasks, and drive technical initiatives. • Great interpersonal skills, agility, and determination for success. • Fluent English; strong presentation and public speaking abilities. Ways to Stand Out from the Crowd: • Deep technical know-how and familiarity with networking protocols or low-level system tools. • Experience with Docker, KVM, or other virtualization technologies. • Knowledge of CI/CD tools (e.g., Jenkins, GitLab CI) and test reporting tools (e.g., Allure, Grafana, Kibana). • Experience with large HW+SW systems and advanced Linux OS technologies. • Proficiency with GIT, Bash, and other scripting languages. If you are creative, autonomous, and passionate about delivering world-class software solutions, we want to hear from you! Join us and work alongside some of the most forward-thinking and dedicated professionals in the industry. 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 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/

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. We are looking for outstanding software engineers to join the NVIDIA 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) What we need to see: • B.Sc, M.Sc or equivalent experience in Computer Science, Engineering, or a related field • 5+ years of “hands on” experience developing or maintaining user space libraries and frameworks, especially for the Linux OS • Proved programming skills in C, C++, or Rust • Good knowledge of operating systems concepts and primitives • Strong English written and oral communication skills to collaborate with other specialists or teams globally (worldwide). Ways to stand out from the crowd: • Collaborative team member with strong communication skills • End-to-end execution of robust technical solutions from design to production • Knowledge and understanding of virtualization and containerization technologies for cloud and on-prem environments • Familiarity with kernel and driver development • Hands on experience in one of: accelerated compute, CUDA development, HPC, Deep Learning & Machine Learning frameworks such as PyTorch 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/

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

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.

We are looking for an excellent, highly motivated SW Verification Manager to join the software verification team in the Data Processing Unit (DPU) SW Group. In this role, you will lead a team of highly skilled verification engineers, combining people management, technical leadership, and execution. We are looking for a candidate with a strong quality-oriented mindset, the ability to thrive in an environment with complex software and hardware designs, and a passion for deep-dive verification of key DPU components. The role includes working closely with HW, FW, and SW teams all over the world, and taking our product to next level. What you’ll be doing: • Lead, mentor, and grow a team of software verification engineers, fostering a culture of technical excellence, ownership, and professional development. • Provide technical leadership and hands-on mentorship, driving the design and implementation of comprehensive verification plans and automated environments using Python. • Lead end-to-end feature validation, from architectural review to final system integration, ensuring robust HW-SW interoperability for high-end hardware and software. • Ensure high product quality by conducting code reviews, defining engineering procedures, and identifying, analyzing, and reporting software defects. • Drive improvements for performance, quality, and stability around SW acceleration solutions, taking an active part in integration and verification with R&D. • Partner closely with cross-functional teams (HW, FW, SW architectures, and Product) across multiple engineering organizations worldwide. What we need to see: • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience). • 3+ years of experience in a managerial/team lead position, with a proven track record of leading engineering teams. • 8+ years of overall experience in software development or verification, with a strong, hands-on technical background. • Expertise in Python, specifically in testing complex embedded systems, system-level software, or firmware-integrated environments. • Strong verification attitude with experience in developing modern Software testing System/QA automation frameworks. • Expertise in networking & compute infrastructure (servers, switches, routers, TCP/UDP). • Deep understanding of Linux distributions (CentOS/RedHat, Ubuntu) and experience in software debugging and problem-solving. • Knowledge of how to tune environments for the best performance and deploy infrastructure based on innovative technologies and high-end hardware. Ways to stand out from the crowd: • Experience with PyTest or other modern Python testing tools. • Proficiency with data search and analytics engines (Elasticsearch, Kibana, Grafana). • Hands-on experience with virtualization in Linux (QEMU/KVM). • Work background with CI/CD methodologies, infrastructure, and toolsets (Jenkins, Git). • Knowledge of Docker, Kubernetes, and understanding of C/C++ toolchain in Linux. 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.

NVIDIA is seeking a dedicated Firmware Engineer to join our NIC Firmware Core team in Beer-Sheva/Tel-Aviv. You will contribute to the development of brand-new networking adapter technologies, elevating the performance of current and future NVIDIA devices. NVIDIA develops innovative and next-generation networking devices that are known for their outstanding performance and power efficiency. The position involves all aspects of firmware development, including design, micro-architecture, software interfaces, and verification. We are seeking a dedicated and motivated engineer who will contribute to the development of advanced technology Network Adapters. You will also have the opportunity to create features for leading cloud computing providers and high-performance computing networks. What you’ll be doing: • Take a part in the design, development, test, debug, and optimization of low-level firmware layer on next-generation network adapters up to package release • Analyze, integrate, support, and debug low-level firmware layer on verification environments • Collaborate with firmware, software, and architecture teams to analyze, design, and debug legacy and new low-level firmware flow • Improve our team processes including design and implementation of new methodologies, automated processes What we need to see: • B.Sc. degree in Electrical Engineering, Computer Engineering or Computer Science • Programming Knowledge in C/C++ • 0-3 years of professional experience • Great teammate, responsible and motivated Ways to stand out from the crowd: • Background in networking • Knowledge in Linux • Knowledge in scripting languages 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.

NVIDIA Israel is seeking innovative and driven Applied Researchers in the field of deep learning. We are looking for candidates with a consistent track record of research excellence; a broad perspective across the fields of artificial intelligence; and deep experience in machine learning, applied science, and computational medicine. NVIDIA is a world leader in high-performance and mobile computing technology for AI, with ambitious plans for future systems. This position offers the opportunity to have a real impact in an applied research-focused team in a dynamic company. The Applied AI Architecture group focuses on applied research. As a member of the team, you will publish your work and share code as an open source. In addition, you will join a groundbreaking initiative at the intersection of AI and biology. This collaborative project aims to develop both foundational and generative AI models, as well as agentic AI systems, redefining our understanding of complex biological systems and enabling advanced diagnostics and novel scientific insights, while strengthening NVIDIA’s Health Platform ecosystem. What You'll Be Doing: • Conceptualize, design, and implement novel deep learning architectures for biological data, with a strong focus on large-scale models such as Large Language Models (LLMs), Transformers, and State Space Models (SSMs). • Develop multimodal learning systems that integrate heterogeneous data types (e.g., clinical time-series, imaging, genomics, and text) for improved representation and prediction. • Develop both foundational and generative models and agentic AI systems, including multi-step reasoning, tool use, and autonomous decision-making capabilities. • Develop digital twin systems for healthcare, combining mechanistic models, physiological data, and AI to simulate disease progression, treatment response, and patient-specific trajectories. • Implement deep learning systems integrated with agents, enabling end-to-end workflows that combine learning, planning, and execution. • Evaluate model performance, analyze results, and iterate on designs to achieve optimal outcomes. • Apply your knowledge of distributed training to build high-quality code for training, optimizing, and deploying large-scale models, while managing complex datasets. • Collaborate closely with a diverse team of researchers, bioinformaticians, and domain experts in a highly interdisciplinary environment. What We Need to See: We are looking for individuals who demonstrate a strong foundation in deep learning and a proven ability to translate innovative ideas into practical, scalable systems. • PhD in Machine Learning, Computer Science, Engineering, or a related discipline. • 8+ years of hands-on experience in developing, training, and deploying deep learning models at scale, including LLMs, Transformers, SSMs, and/or generative models. • Experience with multimodal learning and integrating diverse data modalities is highly valued. • Experience with agentic AI frameworks or systems (e.g., tool-augmented models, planning-based agents, or multi-agent systems) is a strong advantage. • Strong expertise in distributed training, optimization, and inference. • Proven ability to lead independent research, implement robust solutions, and rigorously evaluate performance. • Track record of publications and presentations at top conferences. • Strong programming skills in Python and C++, with experience in PyTorch and/or CUDA. • Excellent communication skills and ability to thrive in a dynamic, research-driven team. Mentoring experience is a plus. Ways To Stand Out From The Crowd: • Hands-on experience building advanced AI systems, including agentic AI (RAG, tools, planning, multi-agent) and multimodal models combining vision, language, and structured/time-series data. • Proven track record optimizing large-scale ML systems, with experience in data pipelines and distributed frameworks for LLM-scale data. • Background in bioinformatics or digital biology, with experience working across interdisciplinary teams spanning research, engineering, and clinical domains. • Experience in building or implementing digital twin systems, simulation frameworks, or data-driven modeling in healthcare or related domains is a strong plus. 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, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided a 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 an accommodation.

Run:ai, now part of NVIDIA, 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 NVIDIA’s 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. What we need to see: • A degree in computer science or a related field, or equivalent practical experience. • 5+ years of software engineering experience, including building developer tools, shared libraries, or engineering infrastructure. • Strong programming skills and the ability to design maintainable software used by other engineers. • Practical experience developing CI/CD pipelines, automated testing frameworks, and Git-based development workflows. • Ability to diagnose unreliable tests, slow feedback cycles, and recurring development friction, and address their underlying causes. • Experience delivering and maintaining reliable software, including testing, debugging, and operational support. • Ability to use AI development tools effectively and evaluate generated code for correctness, security, and maintainability. • Clear communication, sound engineering judgment, and the ability to collaborate across team boundaries. Ways to stand out from the crowd: • Experience maintaining open-source projects or improving external contributor workflows. • Experience building tooling for coding agents, evaluating AI-generated changes, or automating code review. • Background with compatibility matrices, performance benchmarking, or scale-testing frameworks. • Familiarity with secure CI practices, dependency integrity, and running tests on untrusted contributions. • A track record of measurably improving developer productivity and software reliability. 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 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.

We are looking for a 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 Switch and GPU 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 that are in the heart of th AI revolution. Our team delivers world class Chips solutions for HPC, AI infrastructures, data-center, network, and storage markets. We micro-architect, verify, and deliver smart and high bandwidth multi port switches. 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 take part in the AI revolution led by NVIDIA, working on cutting edge architecture. What we need to see: • BSc in Electrical/Computer Engineering or MSc in Mathematics • 5+ years of relevant experience in chip design field (design/verification/formal). • 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. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer.

We are seeking a Networking Software Engineer to join our RDMA Transport Software team, driving the development of next-generation RDMA solutions for AI, cloud, HPC, and storage. You will research and develop innovative transport algorithms that push the limits of performance and scalability. You will work in a fast-paced, collaborative environment alongside talented engineers from around the world, supporting the data needs of the world’s largest enterprises What you'll be doing: • Take part in research, design, and development of advanced RDMA transport mechanisms and algorithms, enhancing performance, reliability, and scalability. • Collaborate closely with hardware engineers, software developers, and system architects to align on project objectives and requirements. • Keep up with industry trends and emerging technologies, integrating new ideas and innovations into the development process What we need to see: • Bachelor's or Master's degree in Electrical Engineering or Computer Science fields from a known institute. • 5+ years of development experience • Knowledge with RoCE and/or InfiniBand, along with a background in RDMA development across software, firmware, or hardware. • Strong problem-solving skills with a hands-on approach, able to dive deep into the RDMA stack and solve complex issues. • Proficiency in C/C++ and embedded systems programming. • Fast learner possessing the ability to learn complex concepts in a fast-paced environment. • A can-do attitude and high energy with excellent collaboration, and social skills. Ways to stand out from the crowd: • Background with data centers networking & storage workloads (advantage). • Familiar with RDMA, InfiniBand, or Ethernet technologies • Experience designing or tuning congestion control, flow control, or loss recovery mechanisms in high-performance networks.

The NVIDIA Networking Diagnostics team is seeking a highly motivated and experienced engineer. This person must have hands-on technical expertise to develop critical diagnostic tools for our newest, world-leading networking platforms. This position offers the opportunity to have a real impact in a dynamic, technology-focused company, impacting data centers and high-performance computing (HPC) clusters across the world. We are looking for independent engineers who excel in a fast-paced environment and are passionate about ensuring the stability of next-generation hardware. What you'll be doing: • Design & Implement: Architect and develop high-performance diagnostic tools and frameworks using Python, tailored for NVIDIA’s latest networking platforms. • Performance Optimization: Drive end-to-end development focusing on software that performs efficiently, ensuring diagnostic suites can handle high-throughput data and real-time monitoring without latency. • System Diagnostics: Take charge of developing features that bridge the gap between complex hardware behaviors and software-level diagnostics. • Collaborative Problem Solving: Partner with hardware, firmware, and driver teams to address real-world challenges that demand innovative solutions and a customer-centric approach. • Autonomous Execution: Own the full software development lifecycle of diagnostic features, from initial hardware specification to deployment in dynamic environments. What we need to see: • B.Sc or equivalent experience in Computer Engineering, Computer Science, Electrical Engineering, or a related field. • 5+ years of hands-on experience in the software development lifecycle, with a proven track record in performance-critical systems. • Python Mastery: Advanced programming skills in Python, with a focus on writing optimized, efficient, and scalable code for hardware interfacing. • Networking & HW Background: Solid understanding of networking protocols (TCP/IP, InfiniBand, or Ethernet) and hardware-level interaction. • Linux Expertise: Strong familiarity with Linux environments, associated debugging tools, and system-level performance tuning. • Strong analytical and debugging skills. • A highly collaborative great teammate who is also self-motivated, well-organized, and capable of working independently in a fast paced environment. Ways to stand out from the crowd: • Performance Tooling: Experience with performance profiling, optimization, and low-level hardware communication (e.g., PCIe, I2C). • Low-Level Knowledge: Background in C/C++, RT embedded development, or driver development within a Linux environment. • Technical Leadership: Experience leading technical projects or mentoring team members in a dynamic setting. • Problem Solving: Confirmed experience in root-causing complex system-level issues and solving customer-facing hardware challenges. At NVIDIA, we value diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We provide reasonable accommodations to ensure all individuals can participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Join us and be part of a team that's pushing the boundaries of technology and making a real impact in the world.

We are looking for an excellent Senior Firmware Engineer to join the Firmware team. The NVIDIA 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 NVIDIA 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. What we need to see: • B.Sc. in Computer Science/Engineering or equivalent experience • 5+ years of professional experience • Strong C/C++ and OOP capabilities • Excellent understanding of data structures and algorithms fundamentals • Scripting abilities (Python, Bash) • Strong analytical, debugging and problem solving skills • Motivated and independent with strong social skills • Prior firmware design and verification experience Ways to stand out from the crowd: • Background in simulation development or real-time programming (RTOS) • Experience in Firmware boot and security flows • Experience in x86 assembly and knowledge of the PC architecture • Knowledge of peripheral, network, and storage protocols • Experience with Agile methods NVIDIA’s invention of the GPU fuelled the PC gaming market. The company’s groundbreaking work in accelerated computing—a supercharged form of computing at the intersection of computer graphics, high performance computing and AI—is reshaping trillion-dollar industries, such as transportation, healthcare and manufacturing, and fueling the growth of many others. In 2020, NVIDIA acquired Mellanox, a leading supplier of end-to-end Ethernet and InfiniBand and services for servers, storage, and hyper-converged infrastructure. Mellanox intelligent interconnect solutions increase data center efficiency by providing the highest throughput and lowest latency, delivering data faster to applications and unlocking system performance. 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!

AI factories are only as good as the software that runs them. NVIDIA’s DSX OS turns GPU infrastructure into a shared, multi-tenant platform for AI teams, providing scheduling, orchestration, serving, and observability for AI workloads at data-center scale—from training and inference to reinforcement learning and agentic AI. The DSX OS Platform Software group builds that layer through projects such as KAI-Scheduler, Snapshot, Grove, and Run:ai. Our work ships as open source and upstream contributions across the cloud-native and AI serving ecosystems. We focus on performance, reliability at scale, and giving users the insight they need to understand and improve how their workloads run. We are looking for highly skilled software engineers to help shape the future of AI infrastructure. As a Senior Software Engineer in the team, you will design and build scalable, high-performance systems, tackle complex distributed-systems problems, and collaborate with experts across NVIDIA and the broader community to support the next generation of AI workloads. What you’ll be doing: • Designing and developing open source platform components with a strong focus on performance, reliability, and scalability. • Building and optimizing Kubernetes-native systems: controllers, operators, schedulers, and APIs that orchestrate GPU workloads at scale. • Contributing upstream — designing in public, writing proposals, reviewing community code, and engaging with users and maintainers of the projects we work on. • Collaborating closely with architects, product managers, and partner teams across NVIDIA to deliver impactful solutions. • Writing clean, maintainable, and testable code in Go. • Conducting code and design reviews to uphold high-quality standards, and mentoring team members. What we need to see: • B.Sc. in Computer Science or a related field or equivalent experience. • 8+ years of experience in backend software development, including system design and architecture. • Proficiency in at least one backend programming language. • Deep familiarity with Kubernetes and the cloud-native ecosystem. • Demonstrated ability to solve complex technical challenges and deliver high-quality solutions. Ways to stand out from the crowd: • Expertise in Kubernetes internals and advanced cloud-native technologies. • Maintain or contribute to OSS projects, and experience working in a public development process. • Familiarity with AI inference workloads, serving frameworks, and performance optimization. • Proficiency in Linux, with knowledge in networking, security, storage, and virtualization.

We are now looking for a Senior HPC Site Reliability Engineer to join our mission and continue improving our HPC infrastructure. A meaningful part of NVIDIA’s strength is our unique and advanced development tools and environments that enable our incredible pace of innovation. We are looking for architects to help us evolve the way our private compute cloud is architected and optimized. What you will be doing: • Provide leadership in the design and implementation of our large-scale compute cloud that enables the world's top chip modelers, designers, and deep learning experts to invent groundbreaking technology. • Identify architectural changes or completely innovative approaches in our cloud architecture and design. • Help with strategic challenges we encounter, including: effective resource utilization in a heterogeneous compute environment, evolving our private/public cloud strategy, capacity modeling, and planning for multi-year growth and scaling across our global computing environment! What we need to see: • B.sc in Computer Science, Electrical Engineering or related field or equivalent experience • 8+ years of experience designing and operating large scale compute infrastructure. • Experience with job schedulers such as IBM/Platform LSF, SGE, SLURM, Marathon, Chronos. • Solid understanding of cluster configuration managements tools – Ansible, Puppet, Chef, Salt. • Good experience providing compute services using a public cloud (AWS, Azure, Google Cloud) • Strong script-writing skills: Python, Bash, Perl • Knowledge of and/or experience deploying PaaS microservices – Docker, Docker Swarm, Kubernetes • Understanding of fast distributed and network attached storage solutions and Linux file systems, ability to recommend and implement solutions to improve OS performance and reliability. Ways to stand out from the crowd: • Linux certification from a well-known vendor - RedHat, Oracle, etc. • Prior experience managing large-scale Kubernetes deployment in production. • Strong skills in modern container networking and storage architecture.

NVIDIA is 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 What we need to see: • Bachelor's Degree in Computer Science, Engineering, or a related field; or equivalent experience • 5+ years of experience • Knowledge of HPC and AI solution technologies from CPU’s and GPU’s to high speed interconnects and supporting software • Experience with job scheduling workloads and orchestration tools such as Slurm, K8s • Excellent knowledge of Windows and Linux (Redhat/CentOS and Ubuntu) networking (sockets, firewalls, iptables, wireshark, etc.) and internals, ACLs and OS level security protection and common protocols e.g. TCP, DHCP, DNS, etc. • Experience with multiple storage solutions such as Lustre, GPFS, zfs and xfs. Familiarity with newer and emerging storage technologies. • Python programming and bash scripting experience, automation and configuration management tools such as Jenkins, Ansible, Gitops • Knowledge of Networking Protocols like InfiniBand, Ethernet • Experience with virtual systems (for example VMware, Hyper-V, KVM) • Familiarity with cloud computing platforms (e.g. AWS, Azure, Google Cloud) Ways to stand out from the crowd: • Knowledge of CPU and/or GPU architecture • Knowledge of Kubernetes, container related microservice technologies • Experience with GPU-focused hardware/software (DGX, Cuda) • Background with RDMA (InfiniBand or RoCE) fabrics NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. We have 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. Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology. We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility. As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all #LI-Hybrid

NVIDIA is looking for an excellent Firmware Design Team Lead for NVIDIA FW PHY Group. The person will closely work with NVIDIA FW development, architecture, chip design teams and gain deep understanding of NVIDIA's 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: • Lead PHY NIC team • Scrum planning and management • Work closely with the architecture, HW, and SW design teams • Define and plan release deliveries • Debug and screen HW/FW/SW issues • Take an active part in SW development phases • Lead data-driven discussions about the product functionality and areas for improvement What we need to see: • B.Sc. or M.Sc. in Electrical or Computer Engineering • 8+ years of relevant experience • 3+ years of team leading • Proficient programming in C • Debugging experience and ability to investigate and triage difficult problems in embedded FW • Experience with developing the physical layer of communication protocols • Good communication skills and the ability to work with people across several countries • Excellent English verbal and written communication skills • Good understanding of analog, mixed-signal circuit operation Ways to stand out from the crowd: • PHY FW experience • Good understanding of SerDes operation • Knowledgeable of Hardware/Software Development Process • Strong collaborative and interpersonal skills, with an ability to successfully guide and influence 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

NVIDIA is looking for an outstanding engineer to join the Networking Software Cross DevOps team. The position is part of a team that supports sophisticated systems and integrations, maintains proprietary, open source and in-house tools, with the strive to improve development workflows and overall efficiency. NVIDIA is one of a kind company, crafting the future of computing and challenging the existing conventions. With your help we would forge the next generation of compute infrastructure multiplying the power of the CPU, GPU and DPU with the groundbreaking networking technology for the age of AI. What you’ll be doing: • Develop DevOps tools using NVIDIA, proprietary and open source technologies to help build better CI/CD workflows across NVIDIA. • Craft efficiency and usability improvements across NVIDIA product development environments to streamline release pipelines and processes across the company. • Be in the critical path of supporting hundreds of developers as well as intimately understanding the values of predictability, automation and reliability. • Design and build sophisticated automations and AI powered applications. What we need to see: • Bachelor's/Master’s degree in computer science or computer engineering or equivalent program • 5+ years of proven experience • Expert development ability in at least one scripting language (e.g. Python, Groovy or similar) • Profound understanding of the Linux operating system. • Deep understanding of containerization and cloud technologies architecture. • Outstanding problem-solving and critical thinking abilities. • Ability to self-manage, lead technically, and communicate effectively. Ways to stand out from the crowd: • Expertise in version control systems (e.g. Git, GitLab, GitHub, Gerrit) • Expertise with Jenkins or similar. • Strong interests towards groundbreaking technologies • Ability to take initiatives and drive them across multiple functional teams. • Familiarity with CSPs infrastructure and tooling. 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 hiring a Senior Physical Verification Engineer to lead signoff-quality verification for advanced silicon programs. You will drive physical verification strategy and closure for complex designs, working across implementation, methodology, and signoff teams to achieve tapeout readiness. The role requires strong technical ownership, structured debug, and the ability to scale best practices across multiple programs. This is a great match for an engineer who wants to combine technical depth with broad project impact. What you’ll be doing: • Own physical verification closure for major blocks or full-chip designs through tapeout. • Lead debugging of complex DRC, LVS, and reliability-related issues and drive high-quality resolution. • Define verification check plans, signoff criteria, and closure priorities with cross-functional teams. • Partner with physical design, custom design, and CAD teams to improve quality and turnaround. • Drive automation, methodology improvements, and best practices for scalable PV execution. • Review results, coach team members, and help reduce repeated classes of violations. What we need to see: • B.Sc. or M.Sc. in Electrical Engineering, Computer Engineering, or equivalent experience. • 5+ years of experience in physical verification, backend implementation, or ASIC signoff. • Deep knowledge of DRC, LVS, physical signoff methodology, and tapeout flows. • Strong experience with industry-standard physical verification tools and foundry rule decks. • Proven ability to debug and close complex verification issues on large designs. • Strong scripting and automation skills. • Excellent communication and cross-team execution skills. Ways to stand out from the crowd: • Experience owning full-chip PV signoff at advanced nodes. • Familiarity with reliability, density, fill, ERC, or other manufacturing-related signoff checks. • Experience leading methodology improvements across teams. We are 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. 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.