Jobs in Tel Aviv-Yafo

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:

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 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 About the Company DriveNets is a leader in large-scale networking solutions for AI infrastructure and service providers. The company's disaggregated networking architecture transforms the economics of large-scale infrastructures while maximizing performance, utilization, and operational efficiency. Its high-performance AI fabric maximizes GPU utilization and accelerates deployments by optimizing the AI stack end-to-end, resulting in higher tokens-per-second and lower cost-per-token. DriveNets' solutions power production networks for global tier-1 operators like AT&T and Comcast, and scale multi-vendor AI infrastructures at foundation model labs, NeoClouds, and enterprises. Responsibilities • Design, build, and operate the internal engineering platform that powers DriveNets' build, test, deployment, and security validation workflows. • Write and maintain production code and automation for the tooling that runs build, test, and release. • Develop large-scale orchestration of complex environments across hybrid cloud and on-prem execution infrastructure. • Implement DevSecOps integrations and advanced automation across the platform. • Provide a scalable, reliable, and intelligent platform that enables hundreds of engineers to build, deploy, and validate a complex distributed networking product efficiently and safely. • Troubleshoot platform issues, take ownership, and drive solutions end-to-end. • Collaborate with engineering teams across the organization. Requirements Technical Skills • 3+ years of hands-on software development experience (primary requirement). • Strong programming skills and the ability to design, implement, and maintain production code. • DevOps experience: CI/CD, Linux, containers, and cloud infrastructure, with the ability to learn the platform's tooling on the job. • B.Sc. in Computer Science or equivalent practical experience. • Solid understanding of Linux, containers (Docker), and Git-based workflows. • Familiarity with CI/CD (GitHub Actions or similar) and infrastructure as code (Terraform, Helm, or similar). • Familiarity with cloud environments, AWS in particular, and an interest in hybrid cloud/on-prem systems. • You will work with: Kubernetes (EKS, on-prem), GitHub Actions, ARC, Karpenter, Terraform, Helm, Docker/DinD, Sysbox, containerd, BuildKit, ECR, S3, ElastiCache (Valkey), sccache, Direct Connect, VPC endpoints, IAM/OIDC, Secrets Manager, and self-hosted runners. Deep prior experience with this stack is not required; basic DevOps foundations and strong software engineering skills are enough to pick it up. Soft Skills • Strong system-level thinking and troubleshooting skills. • Ability to take ownership and drive solutions end-to-end. • Excellent communication and cross-team collaboration skills. Nice to Have / Advantage • Python or another high-level language used in production tooling. • Hands-on AWS experience (EKS, ECR, S3, IAM/OIDC, VPC, Secrets Manager). • Experience with runner pools, DinD test environments, or build caching (BuildKit, sccache). • Jenkins, GitHub merge queue, MinIO / on-prem S3 cache, hardware-in-the-loop CI, monorepo CI optimization. If your experience is close but doesn't fulfil all requirements, please submit your application. 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, 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 extended teams located in the US, Japan, and Romania, DriveNets operations cover more than twelve countries globally. Powering production networks for global tier-1 operators, DriveNets is a leader in large-scale networking solutions for AI infrastructure and service providers. Visit our website to learn more: https://drivenets.com/company/

Description Senior DevOps Engineer - Cybersecurity Hybrid | Israel About the Company DriveNets is a leader in large-scale networking solutions for AI infrastructure and service providers. The company's disaggregated networking architecture transforms the economics of large-scale infrastructures while maximizing performance, utilization, and operational efficiency. Its high-performance AI fabric maximizes GPU utilization and accelerates deployments by optimizing the AI stack end-to-end, resulting in higher tokens-per-second and lower cost-per-token. DriveNets' solutions power production networks for global tier-1 operators like AT&T and Comcast, and scale multi-vendor AI infrastructures at foundation model labs, NeoClouds, and enterprises. DriveNets' Cybersecurity business unit is building an AI-powered security platform for the world's largest service provider networks. The platform combines a cloud-native microservices backend with self-hosted LLM inference, delivered into customers' own Kubernetes environments — often air-gapped, with no data leaving their premises. Responsibilities • Own the platform's Helm charts and make them portable across any Kubernetes distribution, including OpenShift (non-root, restricted SCCs, NetworkPolicies). • Operate the self-hosted operator stack: CloudNativePG, Strimzi, ECK, MinIO, Redis, and Temporal. • Run the Nx monorepo pipelines and drive the ArgoCD GitOps rollout. • Build zero-downtime releases using blue/green and canary deployments, expand/contract migrations, and automated rollback. • Manage autoscaling with KEDA/HPA, backup/restore for stateful services, and load-validation of stamp sizing tiers. • Provide on-call support for dev/staging environments and customer stamps. • Build and maintain observability using Grafana Alloy, OpenTelemetry, and Prometheus/Grafana — dashboards and alerts across services, Kafka, databases, and GPUs. • Improve developer experience through a shared dev cluster with local-debug traffic interception (Telepresence / mirrord), targeting sub-15-minute onboarding. Requirements Technical Skills • 5+ years of DevOps / platform engineering experience in a product company. • Deep hands-on experience with Kubernetes and Helm, including shipping software onto clusters you don't control. • Production experience with GitOps (ArgoCD/Flux), infrastructure as code, and zero-downtime release engineering. • Experience running stateful workloads on Kubernetes via operators (Kafka, PostgreSQL, Elasticsearch). • Solid grasp of observability fundamentals: Prometheus, Grafana, OpenTelemetry. • Comfortable operating in air-gapped environments without managed cloud services. Soft Skills • Strong cross-functional collaboration — works daily with AI/ML Ops, backend, research, and solutions teams on customer onboarding. • Comfortable owning production reliability and on-call responsibilities. Nice to Have / Advantage • Experience with OpenShift, KEDA, and Temporal. • Hands-on AI inference infrastructure experience: deploying and operating LLM inference on Kubernetes with GPUs (vLLM, TGI, Triton, or similar). • GPU scheduling and node readiness, model packaging for offline delivery. • Experience with LLM gateways (LiteLLM) and LLM observability (Langfuse). If your experience is close but doesn't fulfil all requirements, please submit your application. 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, 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 extended teams located in the US, Japan, and Romania, DriveNets operations cover more than twelve countries globally. Powering production networks for global tier-1 operators, DriveNets is a leader in large-scale networking solutions for AI infrastructure and service providers. Visit our website to learn more: https://drivenets.com/company/

Description Tel Aviv #LI-Hybrid DriveNets is redefining how hyperscalers and service providers build, automate, and operate next-generation networks. Our cloud-native Network Cloud platform powers some of the world’s largest infrastructures, including more than half of AT&T’s backbone. We are looking for a highly technical, hands-on System Architect to lead the architecture and evolution of DriveNets Automation Platform (DAP), with focus on: Infrastructure automation Service lifecycle orchestration Multi-tenant operations Intent-based networking Closed-loop assurance Cloud-native OSS transformation This role is ideal for architects passionate about scalable automation systems, distributed cloud-native platforms, and carrier-grade operational workflows. The Role As a DAP Infrastructure & Services Automation Architect, you will define and drive the architecture for automation frameworks enabling lifecycle management of DriveNets Network Cloud deployments at hyperscale. You will bridge: Network infrastructure NOS internals Kubernetes-native microservices OSS/BSS integration Telemetry and analytics CI/CD operational models AI-assisted operational automation You will work closely with: DAP engineering Infrastructure teams NOS platform groups DevOps/SRE Product management Tier-1 service provider customers Requirements Networking & Infrastructure • 6+ years designing large-scale Service Provider or hyperscale IP/MPLS networks • Strong understanding of: • BGP • ISIS • RSVP-TE • EVPN/VXLAN • Segment Routing • QoS architectures • Deep familiarity with distributed routing systems and disaggregated architectures Automation & Cloud-Native • 4+ years in network automation and orchestration • Strong knowledge of: • NetConf/YANG • gNMI • REST/gRPC • OpenConfig • Hands-on Kubernetes architecture experience • Strong understanding of: • Docker • Helm • Service meshes • Microservices • Event-driven systems Observability & Reliability- Experience with: • Prometheus • Grafana • OpenTelemetry • Kafka • Pulsar • RabbitMQ • Strong SRE mindset: • HA • Scalability • Failure domains • Reliability engineering • Operational resiliency Ideal Candidate Profile The ideal candidate combines: • Deep networking expertise • Cloud-native software architecture • Automation-first thinking • Operational scalability mindset • Strong customer-facing communication • Ability to translate hyperscale operational requirements into reusable platform capabilities This architect should be capable of designing systems that automate and operationalize distributed Network Cloud clusters as a unified, intent-driven platform while enabling future DAP expansion into advanced Infrastructure and Service orchestration domains. DriveNets is on a mission to build a special company comprised of individuals with diverse backgrounds, perspectives, and experiences. DriveNets is an equal opportunity employer. We do not discriminate based on upon race, religion, 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.

Description #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 Job Summary We are looking for a talented and motivated Software Engineer with hands-on experience building and operating multi-agent AI systems in production to join our DriveNets Automation Platform (DAP) team. The team develops automation tools, orchestration capabilities, and intelligent platforms that simplify the deployment, management, troubleshooting, and optimization of large-scale network and AI infrastructure environments. You will work on the design and development of AI-powered systems that bridge networking, automation, observability, and distributed infrastructure — running on Kubernetes at scale. Our stack includes LangGraph, Langfuse, RAG pipelines, MCP, and agent-to-agent (A2A) communication patterns. This role combines strong software engineering with practical AI application development, with a sharp focus on production hardening, tracing, evaluation, and safety of agentic systems — not model training or research prototypes. Requirements • 8+ years of hands-on software engineering experience building production-grade backend services, APIs, or AI-powered systems. • Proven production experience with multi-agent AI systems: deployment, tracing, guardrails, hardening, and incident management. • Hands-on experience with agentic frameworks such as LangGraph, CrewAI, Google ADK, AutoGen, or equivalent. • Experience building and running evaluation pipelines for agentic solutions - including trajectory tracing, ground truth validation, and harshness/quality scoring. • Strong Python proficiency: comfortable building scalable backend services using gRPC and REST APIs. • Solid understanding of distributed systems: fault tolerance, consistency models, service communication, and operational challenges at scale. • Hands-on Kubernetes experience: deploying and operating containerized services, managing workloads, config, and scaling in production clusters. • Practical experience with embeddings, vector databases, and semantic retrieval systems in production. • Practical experience with RAG pipelines, LLM API integration, structured outputs, and tool calling in production environments including building and serving MCP servers at scale. • Working knowledge of SQL and/or NoSQL databases, schema design, and query optimization. • Strong debugging skills across application logic, APIs, data, and AI agent behavior. • Strong communication skills and a bias toward ownership and delivery. Nice to Have • Familiarity with Langfuse/Arize Pheonix. • Familarity with A2A & A2UI protocols. • Experience with network automation, orchestration, or configuration management (Ansible, Terraform, NETCONF, gNMI, or similar). DriveNets is on a mission to build a special company comprised of individuals with diverse backgrounds, perspectives, and experiences. DriveNets is an equal opportunity employer. We do not discriminate based on upon race, religion, 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.

Description Location: Tel Aviv: 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 is running 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. We are seeking people that want to make an impact on the world’s leading communication networks and are experienced in networking architecture or AI infrastructure solutions. The Role We are looking for the best of the best talent that is capable of dreaming out of the box and can execute on the dream and turn it into real value for our customers. We’re looking for a software engineer with a passion for software development, excellent design/coding/debugging skills and the ability to mentor and guide junior engineers. The Infra group provides core components for our products. We design and develop the Infra for a large-scale distributed system. For example, we own areas related to high-avialability, data-managment, security and telemetry. Requirements Must: • BSc in Computer Science or related degree, or equivalent practical experience. • 5+ years of working as a Software Engineer. • Experience with the following coding languages: C++/ C - Must • Fast and self-learner of new technologies and coding languages Advantage • Experience working in Linux environment • Rust, Python • Experience with developing software infrastructures • Experience with computer networking software • Experience with high scale & performance optimizations

Description #LI-Hybrid About DriveNets 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 Senior Network & Security Engineer to join our dynamic IT team. • Design, deploy, and operate enterprise and datacenter network infrastructure. • Manage and troubleshoot LAN, WAN, WLAN, VPN, and security environments. • Configure and maintain routers, switches, firewalls, load balancers, and related infrastructure. • Design and implement scalable network architectures based on modern cloud and hyperscale principles. • Drive network automation using Python, Golang, Shell, or similar technologies. • Build and enhance self-service infrastructure platforms supporting engineering and lab environments. • Monitor network performance, availability, and security using automated monitoring and alerting systems. • Collaborate closely with Infrastructure, Security, and Engineering teams to implement security controls and best practices. • Participate in architecture reviews, capacity planning, disaster recovery, and operational excellence initiatives. • Mentor team members and contribute to technical leadership across Requirements • 5+ years of hands-on experience designing and operating enterprise or datacenter networks. • Strong expertise in routing and switching technologies. • Experience with network security technologies including firewalls, VPNs, IDS/IPS, and network segmentation. • Hands-on experience with BGP, OSPF, VLANs, VRFs, and modern networking concepts. • Experience with VXLAN, EVPN, MPLS, or similar overlay technologies – an advantage. • Experience with network automation and scripting (Python, Golang, Shell, or similar). • Strong troubleshooting and problem-solving skills. • Excellent communication and collaboration abilities. Preferred Experience • Fortinet, Cisco, Palo Alto, Arista, Juniper, or F5 technologies. • Datacenter and cloud-scale environments. • Kubernetes and container networking. • Infrastructure-as-Code and automation frameworks. • Network Access Control (NAC) and Zero Trust architectures. 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 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. We are looking for a highly motivated and detail-oriented Receptionist & People Operations Coordinator to support our office operations at DriveNets’ TOHA office in Tel Aviv. As part of our HR team, you will support the company’s day-to-day operations and help ensure the smooth functioning and maintenance of the office and its facilities. Responsibilities • Manage the front desk at DriveNets’ TLV office. • Welcome and greet guests. • Manage office maintenance, including the kitchen, office equipment, and facilities. • Serve as a point of contact for employees regarding administrative needs and help ensure an excellent employee experience. • Support various office operations activities. • Perform administrative duties and support special projects and cross-company initiatives. • Partner with the HR and Recruitment teams and support various HR-related activities. Requirements • At least 2 years of experience in an administrative role within a fast-paced and dynamic environment. Experience in a startup environment is a major advantage. • A people person with a positive attitude, pleasant and energetic nature, strong service orientation, and a collaborative mindset. • Strong sense of ownership, attention to detail, and the ability to see the big picture. • Highly developed operational skills, with the ability to plan, multitask, prioritize tasks, and ensure flawless execution. • High command of English, both written and spoken, is a must. • Proficiency in MS Office; Excel, Word, and PowerPoint - is a must. • Proficiency in Monday and other applications is a plus. • Available for a full-time, on-site position. • Familiarity with AI tools and the ability to use them to improve efficiency and support day-to-day tasks is a plus.

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!

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'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!

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!

NVIDIA is seeking a talented and highly motivated Software Engineer to join our Chip Design Technologies team, which delivers best-in-industry Design, Formal Verification (FV), and Design Verification (DV) solutions and methodologies. This position focuses on developing AI, Machine Learning (ML), and Large Language Models (LLMs) based solutions to enhance design and verification methods. Whether you have several years of experience in AI or are a seasoned expert, this role offers the chance to make a significant impact in a rapidly evolving field. What you'll be doing: • Define and develop cutting-edge AI and LLM-based solutions, tailored to enhance and innovate design and verification processes. • Deeply understand existing design and verification workflows, identify opportunities for improvement, and implement customized solutions that drive efficiency and effectiveness. • Collaborate closely with designers and verification specialists, ensuring seamless integration of AI/ML solutions across multiple projects. What we need to see: • Bachelor's or Master’s Degree in Computer Science or Computer Engineering • 5+ overall years of hands-on experience in software development, with a strong foundation in AI/ML technologies. • At least 2 years of proven experience in developing AI and LLM-based solutions (more years is an advantage). • Excellent communication skills to work effectively with engineers from multiple teams, facilitating improvements based on a positive feedback loop • Strong Python programming skills • A proactive attitude and a passion for continuous improvement in design processes. • Strong analytical, debugging and problem-solving skills Ways to stand out from the crowd: • Experience in Linux environments. • Experience with data collection and analysis • Understanding of the chip design/verification process NVIDIA has some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our exclusive engineering teams are rapidly growing. If you're creative and hands-on 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 looking for an experienced DFT Design Engineer to join the DFT design team and develop the next generation DFT technologies. As a design engineer in the DFT design team at NVIDIA, you will participate in definition and implementation of our DFT technologies in various projects. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting Switches, Nic and SoC product lines. We are working closely with a wide range of aspects - chip design, backend, verification and production testing. We are working on the most advanced technologies and sophisticated products, our DFT solutions are unique, innovative, and we are continuously improving and evolving the solutions to meet the challenging goals. What you'll be doing: • In this position, you will be responsible for defining, coding and integrating sophisticated DFT components into various projects and using state-of-the-art technologies. • As a member of our DFT design team, you will participate in defining various DFT features and improvements, write micro-architecture documents, code design blocks, integrate them into various projects, bring your design to silicon tape-out and silicon testing and production. • Strong collaboration with architects, other design teams, verification, back-end and production testing to accomplish your tasks. What we need to see: • B.Sc. in Electrical Engineering or Computer engineering or equivalent experience. • 5+ years of practical experience. • Exposure to rtl implementation and coding. • Familiarity with verification tools. • Strong debugging, problem solving and analytical skills. • Strong communication and social skills are required. • Ability to work in a geographically diverse team environment. • Self motivated, independent and target oriented. Ways to stand out from the crowd: • Prior Design or Verification experience. • Experience in developing sophisticated design blocks. • Integration of design elements to large cluster or full-chip. • Experience in working with back-end on area, power and timing closures. • Scripting ability. NVIDIA has some of the most forward-thinking and hardworking people in the world working for us. Are you creative and autonomous? Do you love the challenge of developing the next generation technologies? If so, we want to hear from you. Come, join our DFT Team for a challenging and educational environment, where every individual has a significant contribution to our products and achievements!

NVIDIA is building state-of-the-art accelerated computing platforms that know no boundaries. Our technology is crucial for global innovators, scientists, researchers, and engineers, empowering them to transform their boldest concepts into tangible outcomes. Our next-generation Infiniband, NVLink, and Ethernet systems will continue to be at the forefront of connecting and powering the world's most advanced AI clusters. We seek a highly motivated and experienced System Architect specializing in Software for Open Networking in the Cloud (SONiC) and Switch Abstraction Interface (SAI), to join our team of experts and help shape the future of high-performance ML/AI computing. You will have the opportunity to work on some of the most pioneering technologies and help drive the innovation of our next-generation networks. You will play a key role in defining end-to-end solutions, networking protocols and features, interworking with orchestration systems, and help address new business opportunities in exciting areas. Our Architects also represent NVIDIA in open-source projects, technical conferences, and standard development organizations. What you'll be doing: • Explore new technologies and end-to-end solutions for our Ethernet Networking Platforms. • Define robust architectures and technical requirements for SONiC and other Network Operating Systems (NOS) that use SAI, for both hardware platforms and simulation environments. • Actively participate in SONiC and SAI open-source communities as well as other industry technical discussion groups and drive the technology roadmap and NVIDIA's initiatives. • Lead the work with R&D and Validation teams, providing technical guidelines and close support and thorough reviews for detailed designs and test plans. • Collaboration with architects across various fields, including Chip Design, Firmware, Hardware Platforms, and System teams. • Close work with product marketing, program managers, and account managers to ensure the successful execution of projects. • Support engagements with key customers, issue patents, publish white papers and blogs, and be proactive in technical forums and industry working groups. • Promote innovation through the design and implementation of Proof-of-Concept (PoC). What we need to see: • B.Sc., M.Sc. or Ph.D. in Computer Science, Computer Engineering, or Electrical Engineering. • 15+ years of experience in embedded software development for networking products, including 5+ years as a technical representative in open-source communities and standard organizations. • Expert-level knowledge in Ethernet/IP technologies, networking features and protocols, system software designs, SAI, and SONiC detailed architecture, including end-to-end testing. • Excellent understanding of large-scale network behavior, network simulation, and the effect of distributed computing workloads on the network. • Demonstrated ability to maintain technical foresight, build technical roadmaps, conduct deep research and development into new technologies to generate innovative ideas and functional applications. • Leadership skills and accountability, including of past projects. • Clear verbal and written communication with the ability to build consensus within a large organization. • Possess problem-solving and critical thinking skills. • Ability to operate in a highly dynamic environment. Ways to stand out from the crowd: • Deep involvement in SONiC and SAI open-source communities alongside other relevant technical forums. • Extensive knowledge in various Switch ASIC hardware and software abstraction. • Demonstrated ability to prototype ideas and demonstrate their value. • Applying ML/AI methods to solve networking problems. NVIDIA has some of the most forward-thinking and hardworking people in the world working for us, and due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. We are committed to fostering a diverse work environment and are proud to be an equal-opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law. 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.

NVIDIA is looking for a passionate and experienced software developer to join our Chip Design Technologies group, helping to build the tools that shape the future of Chip Design and Verification. This role is at the intersection of software engineering and hardware design. You’ll work on the software that accelerates the development of NVIDIA’s industry-leading networking chips – highway for the AI revolution. We're looking for someone who combines strong coding skills with preferably a solid understanding of chip design or verification. If you’re excited about solving technical bottlenecks, building scalable tools, and collaborating with designers and verification experts, you’ll feel right at home here. What you’ll be doing: • Develop software tools for NVIDIA’s chip design and verification flows • Collaborate closely with designers and verification engineers to identify bottlenecks, propose improvements, and build software solutions that boost productivity and quality. • Own your solutions end-to-end — from idea to delivery to support. What we need to see: • B.Sc. or M.Sc. in Computer Science, Computer Engineering, or Electrical Engineering. • Total of 5+ years of experience developing software tools for chip design/verification • Proficiency in software engineering, with strong debugging and system design skills. • Strong communication skills and a proactive approach to working with users and cross-functional teams. Ways to stand out from the crowd: • 2+ years of hands-on experience in chip design or verification. • Proven ability to identify quality or efficiency gaps in design/verification workflows and deliver impactful methodology or automation improvements. • Experience in leading or contributing to cross-team technical discussions to define software solutions • Passion for building usable tools, with deep understanding of user needs, pain points, and design/verification/debug scenarios. • Proficiency in Python 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.