Jobs in Tel Aviv-Yafo

Description The Role We're building a new orchestration platform for AI datacenters—software that turns a complex, multi-vendor stack of compute, networking, and accelerators into something customers can deploy, operate, and optimize with confidence. You'll join a small, growing engineering team where every engineer ships. In this hands-on development role, you'll build backend services, contribute to system design, and own features from implementation through production, working closely with experienced engineers. If you enjoy solving challenging engineering problems, building new products, and seeing your work run at scale in real AI datacenters, this role is for you. What You'll Do - Build and maintain core services and features for an orchestration platform spanning compute, networking, and accelerators. - Translate customer requirements into APIs, workflows, and data models in collaboration with the team. - Deliver features end-to-end, from prototyping and implementation to testing, deployment, and production support. - Write reliable, maintainable code and contribute to shared libraries, automated tests, and CI/CD pipelines. - Contribute to design discussions and make practical implementation tradeoffs around performance, reliability, and simplicity. - Participate in code reviews, share knowledge, and help improve engineering practices. - Troubleshoot issues and improve service performance, observability, and operational readiness. Requirements - 3 years of experience managing a software development team. -5+ years of professional software development experience, including building and maintaining production backend services. - Strong backend development skills, preferably in Python, and experience building REST and/or GraphQL APIs. - Practical understanding of distributed systems concepts, including scalability, resilience, and failure handling. - Experience with SQL and/or NoSQL databases, data modeling, and query performance. - Experience writing automated tests and working with Git and CI/CD workflows. - Familiarity with multithreading, locks and synchronization mechanisms, performance analysis and optimization. - Ability to take ownership of features, communicate clearly, and collaborate effectively within a small team. Nice to Have - Familiarity with TypeScript, React, and modern web application architecture. - Experience with cloud platforms (AWS, GCP, or Azure), containers, and Kubernetes. - Experience with observability tools such as OpenTelemetry, Prometheus, Grafana, or Datadog. - Familiarity with secure coding practices and common application security risks. - Experience with orchestration systems, provisioning pipelines, cluster management, or schedulers. - Exposure to AI/GPU infrastructure or high-performance networking.

Description #LI-Hybrid About Us DriveNets is a leader in high-scale networking software for AI infrastructure and service providers. The company pioneered a disaggregated networking architecture that transforms the economics of large-scale networks while maximizing performance, utilization, and operational efficiency. DriveNets-powered networks are deployed by global leaders, including AT&T and Comcast, supporting more than 30% of total U.S. internet traffic. DriveNets AI Fabric delivers full-stack networking for AI infrastructures, providing the highest-performance, Ethernet-based alternative to InfiniBand. The solution is deployed by hyperscalers, NeoClouds, and enterprises worldwide. With over $1B raised, DriveNets continues to push the boundaries of modern networking infrastructure. Location: Ra'anana / Tel Aviv The Role: We are looking for a DevOps IT Engineer to join our dynamic IT team. This role blends hands-on system administration with modern DevOps practices, focusing on building, automating, and operating scalable hybrid environments across on-prem and cloud platforms. If you are passionate about automation, cloud infrastructure, and improving developer productivity while maintaining robust and secure enterprise systems — we want to hear from you! Responsibilities: • Design, build, and operate scalable infrastructure across on-prem environments and cloud platforms (AWS & Azure). • Manage and evolve virtualization platforms such as VMware and KVM (Proxmox). • Implement and maintain cloud infrastructure using Infrastructure as Code (IaC) and DevOps best practices. • Own identity and access management solutions including Azure Entra ID (Azure AD), SSO, MFA, Conditional Access, and directory synchronization. • Manage enterprise endpoint solutions such as Microsoft Intune and MobileIron/IVANTI. • Automate infrastructure provisioning, configuration, monitoring, and operational workflows. • Build and maintain internal tools to improve developer experience and engineering productivity. • Ensure system reliability, performance, and cost optimization across cloud and on-prem environments. • Maintain high security standards, compliance, and operational best practices. • Collaborate closely with DevOps, R&D, Security, and IT teams to support development and production environments. • Develop and maintain clear technical documentation. Requirements • 5+ years of experience in DevOps / IT Infrastructure / System Engineering roles in global hi-tech environments. • Strong hands-on experience with cloud platforms (AWS and Azure). • Proven experience with VMware / Nutanix / KVM environments. • Experience with Azure Entra ID (Azure AD), including SSO, MFA, Conditional Access, and identity lifecycle management. • Strong Linux administration skills. • Solid scripting abilities (PowerShell, Python, Bash, or similar). • Experience with automation and Infrastructure as Code tools (e.g., Terraform — advantage). • Familiarity with networking concepts: firewalls, VPNs, switches, WiFi, NAC, ZTNA (FortiGate — advantage). • Experience with enterprise MDM solutions (Microsoft Intune, MobileIron/IVANTI). • Hands-on experience with backup solutions such as Commvault Metallic, Veeam, or Commvault. • Ability to work in high-pressure, mission-critical environments. • Business-level English (written and spoken). Advantages: • Experience with Kubernetes, Docker, and containerized environments. • Knowledge of CI/CD pipelines and DevOps methodologies. • Relevant certifications (AWS/Azure Architect, RHCE, CCNA, MCSA). • Advanced networking knowledge (routing, switching, VPNs). • Experience with large-scale networking, telco, or cloud infrastructure environments. Soft Skills: • Strong service orientation and communication skills. • Independent problem solver with a proactive mindset. • Team player with excellent time management skills. More about DriveNets Based in Israel with locations in Romania, US, India and Japan as well as extended teams, DriveNets operations cover more than twelve countries. With recognition by industry analysts and through partnerships with market leaders such as AMD, Broadcom, Dell and others, DriveNets is pushing market momentum, delivering the scale and efficiency that modern AI workloads demand. Visit our website: https://drivenets.com/company/ ;

Description Location: Tel Aviv Hybrid DriveNets is a leader in high-scale disaggregated networking solutions. Founded in 2015, DriveNets modernizes the way service providers, cloud providers and hyperscalers build networks. Supporting the largest network in the world, more than half of AT&T’s backbone traffic runs on DriveNets’ Network Cloud open disaggregated architecture. Raising $587 million in three funding rounds, DriveNets is disrupting the networking market from high-scale architecture to AI platforms, and is bringing onboard the most talented people. The Role We’re building a new orchestration platform for AI datacenters—software that turns a complex, multi-vendor stack of compute, networking, and accelerators into something customers can deploy, operate, and optimize with confidence. You’ll join a small founding team (growing later) where every engineer ships. This is a hands-on architect role in the truest sense: you’ll own key architectural decisions and write production code 100% of the time, side-by-side with the team. If you like shaping systems at the “whiteboard-to-production” level—and you want your decisions to run at scale in real AI datacenters—this is that kind of role. You will work on all aspects of a new platform for managing AI Datacenters, building full on prem AI-first applications. Requirements Key Qualifications • 5+ years (or equivalent) building modern web applications. • Strong proficiency in TypeScript/JavaScript and front-end development fundamentals (DOM, HTTP, performance, browser behavior). • Solid experience with a modern UI framework such as React, Vue, or Angular (React preferred). • Back-end experience with at least one ecosystem (e.g., Node.js, Java, Python, Go) and building REST and/or GraphQL APIs. • Working knowledge of databases (SQL and/or NoSQL), schema design, and query optimization. • Practical experience with CI/CD, Git workflows, and shipping to production. • Strong communication skills and a bias toward ownership and delivery. • Knowledge of design patterns, such as MVP/MVC/MVVM, singleton, factory, etc. Nice to Have • Experience with cloud platforms (AWS/GCP/Azure), containers, and Kubernetes. • Observability tooling experience (OpenTelemetry, Prometheus, Grafana, Datadog, etc.). • Security mindset: OWASP Top 10 awareness and secure coding practices. • Experience developing large-scale, user-facing web products. • Experience with modern fullstack web frameworks (next.js, modern.js)

Description #LI-Hybrid DriveNets builds high-performance networking solutions for large-scale AI infrastructure and service-provider networks. DriveNets’ Network Cloud powers production networks at global operators such as AT&T and Comcast, while its AI Fabric solutions optimize the performance and time to first token (TTFT) in multi-vendor AI environments at foundation model labs, NeoClouds, and enterprises. DriveNets combines high-performance networking, end-to-end automation, and full-stack AI cluster optimization to remove network bottlenecks, maximize GPU utilization, accelerate AI cluster deployments, and improve token economics The Role We are establishing a new backend group that will take full ownership of a core application area. We are looking for a Senior Backend Developer who will lead the backend effort end-to-end — from initial architecture and technology choices, through implementation and scaling, and into long-term ownership and evolution. This is a hands-on technical leadership role. You will design, build, and own production systems, work closely with multiple teams, influence product direction, and set the technical bar for the group. We embrace an agile mindset – you should be comfortable with context switching, handling multiple priorities, and adapting quickly to changing requirements. Responsibilities • Take full ownership of the backend architecture for a major application area • Design and implement scalable, reliable, and maintainable backend systems • Lead technical design and decision-making, including technology and architecture choices • Work closely with product, frontend, platform, and other backend teams • Participate in product vision discussions, brainstorming, and planning sessions • Translate product requirements into robust technical solutions • Write high-quality, production-grade code • Drive debugging and root-cause analysis of complex production issues • Ensure best practices in performance, reliability, security, and observability • Mentor and technically guide other backend engineers as the group grows Requirements • 9+ years of backend development experience • 2+ years of hands-on NodeJs OR Python OR GO experience — or strong motivation to learn and use it in production- big advantage. • Experience with distributed, high-scale systems. • Proven experience designing and building high-scale, production systems • Deep understanding of backend architecture, distributed systems, and APIs • Strong problem-solving and debugging skills, including complex system behavior and production troubleshooting at scale • Experience working with databases (relational and/or NoSQL), including schema design and performance considerations • Solid knowledge of modern backend technologies and frameworks • Experience collaborating across teams in a large or multi-team environment • Strong communication skills and the ability to lead through influence Nice to Have • Familiarity with containerization tools (Docker/Kubernetes) • Exposure to caching systems (e.g., Redis) or event-driven architectures • Prior experience leading a technical area or subsystem • Experience with Cursor Education And/or Relevant Experience BSc in Computer Science, Software Engineering, or a related technical field; or equivalent hands-on experience in software development If your experience is close but doesn’t fulfill all requirements, please apply. DriveNets is on a mission to build a special company comprised of individuals with different backgrounds, perspectives, and experiences. DriveNets is an equal opportunity employer. We do not discriminate based on upon race, religion, color, national origin, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with disability, or other applicable legally protected characteristics. More About DriveNets Based in Israel with locations in Romania, US, and Japan as well as extended teams, DriveNets operations cover more than 16 countries. With recognition by industry analysts and through numerous industry awards, DriveNets is pushing market momentum, allowing for faster service innovation from the network core to the edge. Visit our website:

We are seeking a Strategic Account Manager to lead complex commercial engagements with leading automotive OEMs and Tier 1s in the ADAS ecosystem to join our dynamic Sales team. This role included managing long cycle, multi stakeholder deals from early positioning through RFQ to final commercial negotiation and execution. In this role, you’ll have the opportunity to build relationships with industry-leading OEMs and lead the Sales lifecycle of our advanced SOC software solutions for ADAS applications. What will your job look like? • Own and drive Sales activities for strategic OEM accounts, leading commercial strategies end to end. • Create long term relationships with strategic customers through proactive engagement, strong negotiation, and consistent value delivery. • Manage the entire sales process from RFQ/RFI review to issuing competitive price indications and negotiating commercial terms across 12 to 24 month sales cycles. • Lead the commercial aspects with strategic customers, including direct engagement with procurement and executive stakeholders. • Be the single point of contact for customer commercial inquiries, ensuring a seamless communication flow and outstanding customer experience across complex internal and external stakeholder environments. • Translate complex technical capabilities into clear business and commercial value propositions that resonate with clients. • Work in a team supporting multiple OEMs and Tier 1s in driving success together while aligning closely with BD, product, finance, legal, and executive teams to move deals forward. • Drive momentum and push deals forward despite internal and external friction, ensuring progress in complex and political sales environments. All you need is: • BA degree; an MBA is a plus. • 5 years of experience in a similar high tech role, demonstrating your expertise in a fast paced environment with exposure to long sales cycles and complex deal structures. • Strong background in technical sales, capable of navigating complex negotiations and sales processes with ease while positioning value rather than selling pure technical features. • Strong analytical skills, with the ability to interpret volumes, pricing, and commercial data to support decision making. • A natural ability to connect with clients and build long term, trust based relationships at senior levels. • Experience in complex projects involving both HW and SW developments. • Detail oriented and capable of keeping the big picture in mind to make strategic decisions. • High level of proficiency in both verbal and written English to engage effectively with global stakeholders. • Solid understanding of technical business principles, particularly in the automotive ADAS/AV market with the ability to maintain credibility in front of engineering teams without being a deep technical expert. • Experience with tools like Jira and Salesforce to enhance productivity and track engagement efficiently. • High level of professionalism, strong ownership mentality, and the ability to work cross functionally with a team while independently driving outcomes. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Mobileye is seeking a highly technical Program Manager to join the Execution Program Management Team. In this role, you will drive end-to-end execution across multiple development teams, ensuring delivery against strategic, technical, and operational goals. You will work closely with engineering, research, validation, data, and infrastructure teams to translate roadmaps into executable plans, proactively manage risks, and maintain high development velocity in a complex deep learning environment. What will your job look like: • Lead execution planning across multiple development teams, ensuring alignment with product milestones and company objectives. • Build and manage detailed execution plans covering feature development, validation cycles, data readiness, infrastructure capacity, and integrations. • Monitor progress and proactively drive issue resolution to maintain predictable delivery. • Define, track, and analyze execution KPIs • Identify execution bottlenecks and drive corrective actions across engineering, data, and infrastructure domains. • Support roadmap planning by aligning feature scope with compute resources, validation bandwidth, and data availability constraints. • Facilitate execution reviews using dashboards, logs, performance reports, and validation summaries. • Coordinate across research, software engineering, DevOps, validation, and infrastructure teams to resolve blockers. • Drive transparency, accountability, and operational rigor across stakeholders. • Help diagnose failing tests, integration conflicts, data gaps, and infrastructure bottlenecks. All you need is: • BSc. in Computer Science, Electrical Engineering, or related fields. • 5-7 years of experience in program or product management, with hands-on development experience. • Ability to read, understand, and run code and scripts (e.g., Python, bash or similar). • Familiarity with development, CI/CD, testing, and data/ML tools. • Experience with deep learning development processes. • Excellent communication, organization, collaboration, and problem-solving skills. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Mobileye's Algorithms Division is looking for a highly technical, hands-on Data Product Manager to drive complex data solutions that support advanced algorithm development. In this role, you will work at the intersection of algorithmic research, data, and engineering. You will collaborate closely with algorithm researchers and development teams to understand complex technical challenges, translate research-driven needs into detailed technical requirements, and drive the development of data tools, infrastructure, and solutions. This position requires strong technical expertise, a deep understanding of data and software development, and the ability to take an active, hands-on role in solving technical challenges. What will your job look like? • Work closely with algorithm researchers and development teams to understand research processes, identify data needs, and translate them into detailed technical requirements. • Lead the technical definition of data solutions, tools, and infrastructure supporting algorithm development, training, and validation. • Collaborate with Data Collection and Data Infrastructure teams to ensure data quality, availability, and alignment with algorithmic requirements. • Define and improve data structures, standards, and workflows to support efficient algorithm development and experimentation. • Identify technical challenges and bottlenecks across the data lifecycle and drive practical solutions in collaboration with engineering teams. • Take a hands-on approach to technical problem-solving, including building prototypes, automating workflows, and developing internal tools using AI-assisted development tools. • Work with cross-functional teams, including FinOps, to optimize data storage, usage, and cost efficiency. All you need is: • B.Sc. in Computer Science, Software Engineering, or a related technical field. • At least 5 years of experience in technical product management, with a strong focus on complex, engineering-driven products or platforms. • Deep technical understanding of data systems, software architecture, development workflows, and infrastructure. • Proven experience working closely with R&D teams, translating complex technical or research-driven needs into detailed product and engineering requirements. • Hands-on technical capabilities, including the ability to independently build small tools, prototypes, or applications. • Experience with AI coding tools such as Cursor and Claude Code. • Strong analytical and problem-solving skills, with the ability to understand complex technical challenges and drive solutions. • Excellent communication skills and ability to work effectively with technical stakeholders. • Previous hands-on software development experience – a strong advantage. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

MEQ (Mobileye Quality) team is responsible to foster quality and excellence in Mobileye's products and processes across the entire company. MEQ team focuses on ensuring high customers' satisfaction through continuous improvement and implementation of automotive standards and best-practices such as ASPICE, IATF16949, ISO 9001, VDA/AIAG Core Tools and ISO26262, both internal and across the entire supply chain. In order to support MEQ objectives, The QMS & Production Quality team is looking for a Production Quality Engineer This role can be based at our offices in Tel Aviv, Petah Tikva, Haifa, or Jerusalem. What will your job look like: • Define and implement production quality framework and workplan for Mobileye's systems' NPI and serial production activities (from scratch) • Work closely with colleagues from other departments (PMs, development engineers, production engineers, management) and other organizations (suppliers and customers). • Work with contract manufacturers to analyze the production process, process capability, process capacity and measurement systems capability. • Assess and control the activities through performing VDA6.3 audits • Lead/Support 8D multi-disciplinary teams to investigate faults and failures • Lead and update PPAP folders for Mobileye's systems • Identify opportunities for improvement and execute them. • Create relevant work items templates and coach the teams how to use them. • Assess KPIs of processes and activities and suggest corrective actions and improvement. • Represent production quality related issues with customers, suppliers and 3rd party organizations All you need is: • At least 5 years hands-on experience in quality of NPI and production processes in multidisciplinary systems' design & production companies (Automotive industry - significant advantage) • Knowledge in automotive core tools, standards and best practices - significant advantage • Certification and experience as supplier auditor per ISO19001 (VDA6.3 certification - significant advantage) • Experience in working with information systems - PLM, ALM, Jira (Working with Agile PLM & Polarion ALM - an advantage) • Highly organized, "Can-do" approach, Process-oriented, able to manage and follow-up on many tasks in parallel. • Able to work in a matrix organization while interfacing with diverse technical stakeholders. • Excellent communication skills in English (both verbal and written) • Able and willing to travel abroad • Bachelors degree - advantage Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

Mobileye's Development Infrastructure group builds the cloud platforms, data services, and AI-powered tooling that Mobileye & OEM customers depend on to develop autonomous-driving systems. We are looking for a Technical Product Manager to own cloud and data services used by our internal teams and external customers, alongside a new generation of AI-native, agentic products that bring Mobileye's proprietary knowledge and self-service tooling directly to engineers. This is a hands-on technical product role, but not only that. You'll own roadmap, requirements, and cross-functional execution while staying close to the technology itself. Just as importantly, you can zoom out to shape the high-level product story — the vision and the “why” that align stakeholders and give the work direction. As we increasingly integrate AI into our products, we need a PM who learns fast and turns ideas into working products. You'll shape how a sophisticated, multi-petabyte data and cloud ecosystem evolves, influencing how Mobileye's platforms are built internally and how leading global OEMs consume our data and services. It's a rare seat at the intersection of cloud infrastructure, data delivery, and applied GenAI, on products that directly support the future of autonomous mobility. • This is a full-time, 12-month position covering a maternity leave, with potential for extension based on business needs and will require working from Mobileye Jerusalem Campus 2 days a week. What will your job look like? • Own the product strategy and roadmap, partnering with technical leadership to define scope, milestones, and success metrics, and keeping business priorities and engineering execution aligned. • Act as the point of contact for both internal engineering teams and external OEMs — driving requirement definition, prioritization, and ongoing engagement, and owning the lifecycle of feature requests, issues, and escalations. • Lead cross-functional execution across engineering, data, and infrastructure teams, proactively managing dependencies, risks, and delivery timelines while providing clear visibility into product status and outcomes. • Get hands-on with the technology — digging into the products firsthand to see how they behave, test assumptions, and validate solutions before they ship. • Drive our AI-native products — agentic assistants built on MCPs, skills, and retrieval — defining how they surface Mobileye's proprietary knowledge and automate self-service for engineers. • Lead product releases end to end — planning launches, enabling users, driving adoption, and tracking usage and user engagement to inform the next iteration. • Define product standards and documentation practices — design docs, user guides, and release materials — to ensure clarity, scalability, and operational excellence. All you need is: • At least 7 years of experience in a technical product management role, preferably in Cloud or related domains. • Experience defining products, translating complex concepts into clear requirements, and working closely with engineering teams. • Fluency with AI tools like Claude Code or Cursor, and comfort working hands-on in CLI and Ubuntu environments, with the ability to learn new tools fast. • Strong technical depth — able to dig into problems alongside engineers and drive issues to resolution. • Excellent communication and storytelling skills — able to turn complex, technical work into a clear narrative that aligns and influences diverse stakeholders. • Strong problem-solving, organizational, and analytical capabilities. • B.Sc. in Computer Science, Electrical Engineering, or a related technical field (M.Sc./MBA is a plus). • Hands-on software development background — an advantage. Mobileye changes the way we drive, from preventing accidents to semi and fully autonomous vehicles. If you are an excellent, bright, hands-on person with a passion to make a difference come to lead the revolution!

NVIDIA is looking for best-in-class Physical Design CAD Engineer to join our outstanding Networking Silicon engineering team, developing the industry's best high speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company. What you'll be doing: • You will be in charge of developing physical design, synthesis, STA and Logic eq methodologies for implementation of networking chips and SOCs. • Work closely with block owners. full Chip STA engineers and project managers to assure high quality and timely convergence. • Come up with unique and creative solutions to the state of the art physical design problems that are needed for Our chips. • Additional responsibilities include participating and developing flow and tool methodologies for chip floorplan, power and clock distribution, P&R, timing analysis and closure, power and noise analysis and back-end verification across multiple projects. What we need to see: • B.SC./ M.SC. in Electrical Engineering/Computer Engineering (or equivalent experience). • At least 2 years of relevant experience • Proficiency using Python, Perl, Tcl, Make scripting. • Expertise in analysing and converging crosstalk delay, noise glitch, and electrical/manufacturing rules in deep-sub micron processes. • Knowledge in physical design and optimization e.g. placement, routing, cell sizing, buffering, logic restructuring, etc. to improve timing and power required and implementing them through ECOs is required. • Knowledge in process variation effect modelling and experience in design convergence taking into account variations. • Successful track record of delivering designs to production is necessary. • Self-motivation, attention to detail, and good written, verbal, and presentation skills are critical to success in this role. Ways to stand out from the crowd: • Familiarity with synthesis, place and route, STA EDA tools from Synopsys (DC/FC/PT), Cadence (Innovus/Tempus) • Experience in methodology definition / flow owner of synthesis / Place and Route/ STA steps is an advantage. • Great teammate. • Ownership, self-learning skills, and ability to work autonomously. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking 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 physical design team in the industry! #LI-Hybrid

NVIDIA is looking for an excellent Software Engineer for the Switch SDK Group. You will join the SDK group and take our product to next level, working closely with various other design and architecture teams and gain a deep understanding of NVIDIA’s products and technologies. NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. What you’ll be doing: • Design, develop, optimize and maintain APIs, tools and libraries for Switching, Routing, Analytics, Telemetry and many other modules • Collaborate with team members, Architects, QA teams, and customers (both external and internal) • Innovate & rapidly develop POC prototypes that can then be developed into full-fledged products/solutions What we need to see: • B.Sc. in Software Engineering / Computer Science / related field or equivalent work experience will be considered as well • 10+ years of experience as a Software Engineer, including experience with C programming • Experience with Embedded/ RT Embedded systems • Excellent C programming skills, with a keen eye for performance and writing optimized code • Strong analytical skills, deep knowledge of algorithms and proficiency with data structures • Excellent communication and documentation skills Ways to stand out from the crowd: • Previous experience with Ethernet Switching or Routing protocols • Hands on Linux development, user-space and/or kernel-space NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. #LI-Hybrid

NVIDIA is looking for best-in-class Physical Design CAD Engineer to join our outstanding Networking Silicon engineering team, developing the industry's best high speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company. What you'll be doing: • You will be developing physical design, STA, Logic eq, Power Integrity flows and methodologies for implementation of networking chips and SOCs. • Work closely with block owners, full Chip STA engineers to assure high quality and timely convergence. • Come up with unique and creative solutions to the state of the art physical design problems that are needed for Our chips. • Additional responsibilities include participating and developing flow and tool methodologies for timing analysis and closure, power and noise analysis, IR-drop, EM and back-end verification across multiple projects. What we need to see: • B.SC./ M.SC. in Electrical Engineering/Computer Engineering (or equivalent experience). • 2+ years of fulltime relevant experience in the areas listed below. • Proven experience and strong knowledge in key technical domains, including: Physical Design, STA (Static Timing Analysis) and Timing closure methodologies. • Familiarity with industry-standard tools like PrimeTime (STA) and PrimePower (Power Estimation). • Self-motivation, attention to detail, and good written, verbal, and presentation skills are critical to success in this role. • Strong sense of ownership, self-learning skills, and ability to work both independently and collaboratively with internal and global teams Ways to stand out from the crowd: • Experience in Signoff domains: STA (PrimeTime), Power Estimation (PrimePower), Power Integrity (RedHawk), Formal eq. (Formality), Backend CAD (Computer-Aided Design), • Knowledge in Tcl/Perl/Python • Versatile • Great teammate NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking 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 physical design team in the industry! #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 best-in-class Physical Design CAD Engineer to join our outstanding Networking Silicon engineering team, developing the industry's best high speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company. What you'll be doing: • You will be developing physical design, STA, Logic eq, Power Integrity flows and methodologies for implementation of networking chips and SOCs. • Work closely with block owners, full Chip STA engineers to assure high quality and timely convergence. • Come up with unique and creative solutions to the state of the art physical design problems that are needed for Our chips. • Additional responsibilities include participating and developing flow and tool methodologies for timing analysis and closure, power and noise analysis, IR-drop, EM and back-end verification across multiple projects. What we need to see: • B.SC./ M.SC. in Electrical Engineering/Computer Engineering (or equivalent experience). • 2+ years of fulltime relevant experience in the areas listed below. • Proven experience and strong knowledge in key technical domains, including: Physical Design, Backend CAD (Computer-Aided Design), STA (Static Timing Analysis) and Timing closure methodologies. • Familiarity with industry-standard tools like PrimeTime (STA) and PrimePower (Power Estimation). • Self-motivation, attention to detail, and good written, verbal, and presentation skills are critical to success in this role. • Strong sense of ownership, self-learning skills, and ability to work both independently and collaboratively with internal and global teams Ways to stand out from the crowd: • Experience in Signoff domains: STA (PrimeTime), Power Estimation (PrimePower), Power Integrity (RedHawk), Formal eq. (Formality) • Knowledge in Tcl/Perl/Python • Versatile • Great teammate NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking 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 physical design team in the industry! #LI-Hybrid

The complexity of the chip has greatly increased over the years. We are now packing tens of billions of transistors in a chip to meet the growing computing demand in a footprint that is responsible to our environment. The NVIDIA System-On-Chip (SOC) group is looking for a top ASIC Engineer with a curiosity about SOC design automation, RTL integration, chip build and assembly, and padring design and verification. You should have real passion for methodologies and automation solutions that enable SOC creation in the most optimized way. In this position, you will get the opportunity to build complex networking chips and interact directly with unit-level ASIC, Physical Design, CAD, Package Design, Software, DFT and other teams. What you'll be doing: • Implement chip level design through collaboration with cross-functional teams (Functional Design, DFT, Design Verification, System Verification, STA, and Physical Design). • Be exposed and work on a variety of functional and structural challenges. Including functional debug, physical design readiness, emulation, resolve design quality issues. • Daily work involves aspects of chip level design, including partitioning, CDC, RDC, trial synthesis, design quality checks • Taking part in flows development and deployment What we need to see: • B.SC./ M.SC. in Electrical Engineering/Computer Engineering. • 7+ years of actual design experience in chip design • Solid hands-on RTL design skills in System-Verilog • Proficiency in at least one scripting languages like python, bash, tcl. • Great teammate. Way to stand out from the crowd: • Passion for quality. Experience with delivery to physical design, emulation, firmware and other customers NVIDIA has some of the most forward-thinking 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 physical design team in the industry! #LI-Hybrid

NVIDIA is hiring exceptional software engineers to build and optimize the core inference infrastructure for large language models. Join the TensorRT‑LLM team - the group defining how generative AI performs at global scale on NVIDIA GPUs. We’re looking for engineers who love squeezing every drop of throughput, memory efficiency, and scalability out of modern model runtimes. Your work will directly shape the frameworks behind state‑of‑the‑art LLM inference used across NVIDIA and the AI community. Join us to redefine what “fast” means for LLM inference - building the frameworks that power the next generation of generative AI at scale. What you'll be doing: • Design, implement, and optimize high‑performance inference pipelines for large language models running on GPUs • Profile and tune model execution across the stack - from scheduler design to kernel fusions and everything in-between • Design and experiment with memory management strategies for improved memory bandwidth optimization and cache efficiency • Innovate and Implement cutting-edge techniques such as Speculative Decoding, Context Caching, and FP8/INT4 quantization to push the boundaries of tokens-per-second-per-watt • Develop and maintain benchmarking and testing systems that quantify latency, utilization, and efficiency What we need to see: • Bachelor's, Master's, or higher degree in Computer Engineering, Computer Science, Applied Mathematics, or related computing-focused degree (or equivalent experience) • 5+ years of relevant software development experience. • Excellent Python programming skills, software design, and software engineering skills • Experience working with deep learning frameworks like PyTorch and HuggingFace • Experience profiling and debugging performance at all levels - Python runtime, PyTorch internals, and GPU utilization metrics • Awareness of the latest developments in LLM architectures and LLM inference techniques • Proactive and able to work without supervision • Excellent written and oral communication skills in English Ways to stand out from the crowd: • Contributions to inference frameworks such as TensorRT‑LLM, vLLM, SGLang, or similar systems • Demonstrated expertise in performance modeling, memory optimization, distributed model execution or GPU execution workflows • Hands‑on experience with NVIDIA profiling tools (Nsight Systems, PyTorch Profiler, custom benchmarking harnesses) • Strong grasp of the trade‑offs shaping inference efficiency: compute vs. memory, scheduling vs. batching, latency vs. throughput 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. #LI-Hybrid

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world As a Network Modeling Architect, you'll contribute to our creative and cooperative setting, focusing on the ConnectX network adapter, steering the ship of the next generation architecture. What you'll be doing: • Develop our simulation model to enable research and analysis of new technologies. • Use our simulation model to define the next generation of our products. • Be part of the team that defines the ConnectX Network Adapter chip and Bluefield Data Processing Unit architecture end to end from the market requirements through design and all product life cycles (post/pre-silicon, on deployments). • Collaborate with other research teams. What we need to see: • B.Sc. in Electrical / Computer Engineering or Computer Science. • 5+ years of relevant experience (networking architecture, software development, chip design, control systems, etc.) • High motivation to learn and explore new fields. • Problem solving skills. • Excellent interpersonal skills. • Passion for and attention to details in design and a high focus on design quality. Ways to stand out from the crowd: • Experience with network modeling tools such as OMNeT and NS3. • Background with AI workloads. • Experience with RDMA networking. 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! #LI-Hybrid

NVIDIA has been at the forefront of the deep learning revolution, pioneering innovations that have transformed the entire field. As the leading provider of GPUs and AI computing platforms, NVIDIA has empowered researchers and engineers worldwide to accelerate breakthroughs in artificial intelligence. We seek a versatile Senior Software Engineer who is passionate about performance optimization and generative AI. Our team brings the latest research in LLM inference — from novel decoding strategies to quantization schemes — into production across NVIDIA's hardware lineup, from large data center servers to powerful edge devices. We work on the most advanced architectures in the field, with a focus on NVIDIA's own. What you'll be doing: • Implement and optimize inference algorithms for LLM and omnimodal architectures, including hybrid Mamba-Transformer and mixture-of-experts models • Profile inference pipelines using NVIDIA's profiling and simulation tools. Correlate simulation predictions against real hardware across data center and edge devices • Write and tune GPU kernels (CUDA, Triton) for operators like fused MoE layers, SSM state updates, and quantized GEMMs • Solve distributed inference problems: expert parallelism, communication-compute overlap, collective tuning, multi-node deployment • Build production-grade software inside major open-source libraries - vLLM, SGLang, Dynamo, FlashInfer • Own optimization features end-to-end, from scoping through delivery, collaborating with research, product, and engineering teams worldwide What we need to see: • B.Sc., M.Sc., or equivalent experience in Computer Science or Computer Engineering • 5+ years of hands-on software engineering experience in performance-critical systems • Solid understanding of deep learning architectures (Transformers, SSMs, MoE, …) • Experience with systems where hardware constraints matter: GPU programming, memory hierarchy, networking, or distributed computing • Strong software engineering fundamentals: clean design, extensibility, testability. Good judgment about when complexity is warranted • Effective communicator who works well across teams and time zones • Experience optimizing deep learning workloads on NVIDIA GPUs using roofline models, Nsight/PyTorch profilers and end-to-end traces Ways to stand out from the crowd: • Contributions to open-source inference runtimes and libraries - vLLM, SGLang, FlashInfer, Dynamo or similar • Hands-on work with LLM quantization (FP8, NVFP4, MXFP8, mixed-precision) and practical understanding of numerical precision tradeoffs • Track record with distributed inference at scale: tensor parallelism, pipeline parallelism, expert parallelism, disaggregation, multi-node orchestration • Deep knowledge of the latest LLM architectural trends: multi-token predictors, sparse hybrid models, attention and state-space mechanisms • Experience with performance modeling and simulation-to-silicon correlation NVIDIA is widely considered one of the world's most desirable employers in the technology field. We have some of the most forward-thinking and hardworking people working for us. If you're creative and autonomous, we want to hear from you! We are committed to fostering a diverse work environment and are proud to be an equal-opportunity employer. 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.

Cato Networks is the converged network and security cloud for the AI era. As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents. Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide. We’re seeking a hands-on and forward-thinking System Team Leader to drive operational excellence across Cato’s global IT infrastructure. In this role, you will lead a team of skilled System Administrators, ensuring efficient delivery of IT services, robust infrastructure performance, and alignment with security, compliance, and SLA standards. The ideal candidate is a strong technical leader who thrives on problem-solving, innovation, and continuous improvement—capable of balancing day-to-day operations with long-term strategic initiatives. Responsibilities: • Lead and mentor System Administrators, managing priorities, workload, and professional development. • Oversee the installation, configuration, maintenance, and troubleshooting of IT services across corporate and R&D lab environments. • Manage cloud applications and services, including Microsoft 365, Intune, AWS, Azure, and endpoint security solutions. • Take end-to-end ownership of incidents and projects, ensuring timely escalation, proactive stakeholder communication, and follow-through to completion. • Identify operational gaps, anticipate risks, and independently drive improvements that prevent recurring issues. • Monitor and optimize network performance, availability, utilization, and Quality of Service (QoS). • Maintain compliance with corporate security standards and applicable regulatory requirements. • Improve operational efficiency through scripting, APIs, workflow automation, and AI-assisted IT operations. • Track SLA attainment, service availability, resolution times, and backlog health; use these measures to prioritize improvements and strengthen service reliability. Requirements: • At least five years of System Administration experience, including three years in a managerial or leadership role (must). • Proven expertise in Windows, macOS, and Linux environments and administration best practices (must). • Extensive hands-on experience with routing, switching, firewalls, and VPN solutions (must). • Demonstrated experience managing hybrid-cloud infrastructure (must). • Ability to automate IT operations using Bash, Python, or PowerShell (must). • Familiarity with AI-assisted IT operations, API integrations, and workflow automation platforms (advantage). • Excellent written and verbal communication skills in Hebrew and English. • Availability for on-call duty and urgent response outside regular working hours in case of critical outages (must). Personal Skills: • Strong leadership and interpersonal skills, with clear communication and accountability. • Analytical and creative problem-solving, with the initiative to identify opportunities and deliver measurable improvements. • Ability to manage competing priorities and projects while maintaining ownership through completion. • A structured, resilient approach under pressure and a commitment to continuous learning. • Approachable, hands-on manager and a true team player, fostering collaboration, trust, and open communication.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role As a Senior Technical Program Manager, you will own the end-to-end delivery of GPU clusters and other critical IT infrastructure components that power next-generation AI workloads. In this high-impact role, you’ll coordinate engineering, networking, construction, and operations teams to deliver GPU clusters and critical IT infrastructure at hyperscale. You’ll work closely with infrastructure leadership to define strategy, manage risk, and ensure on-time, high-quality launches.You’ll play a key role in scaling our global infrastructure footprint across the EU markets. Travel: This position may require on-site presence at data centers during key deployment phases. Your responsibilities will include: • Lead end-to-end delivery of new data center programs, from design through handover to operations. • Define and manage scope, schedule, and risks, maintaining focus on critical paths and proactive issue resolution. • Translate business and technical requirements into actionable project plans and measurable deliverables. • Oversee vendor and contractor execution, ensuring quality, budget, and schedule. • Provide structured program reporting, including dashboards, documentation, and executive updates. We expect you to have: • 7+ years of experience in technical program or project management, with direct involvement in large-scale IT infrastructure deployments. • Solid technical background in relevant domains, with the ability to engage deeply in technical discussions and challenge solutions where needed. • Proven ability to stay focused on critical paths and drive results in fast-paced, changing environments. • Communication and stakeholder management skills; able to translate complex topics clearly. • Leadership by influence and example in cross-functional or matrixed teams. • Proficient with modern project management tools and methodologies (e.g., Jira, Asana, hybrid Agile/Waterfall). It will be an added bonus if you have: • Understanding of construction projects structure and key risk factors in facility build-outs. • Knowledge of HPC • Experience in business processes design or automation tools development. • PMP, PRINCE2, or similar industry certifications. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.