Jobs in Tel Aviv-Yafo

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 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 and Duties • Join a new, fast-growing group at DriveNets chartered with building hardware infrastructure for AI-scale data centers. • Own hardware programs end-to-end: from initial requirements through validation, production, and deployment. • Manage the interaction between internal R&D teams and external hardware vendors (ODMs), ensuring hardware development aligns with DriveNets' software stack requirements and product timelines. • Collaborate cross-functionally with product management, systems architecture, software R&D, legal, and supply chain teams to align on requirements and execution plans. • Serve as the main technical point of contact with ODMs, managing technical discussions, tracking progress, and resolving issues. • Drive hardware and firmware planning, including schedule alignment with software integration cycles and overall AI data center rollout milestones. • Lead bug triage and resolution processes for hardware and firmware, including customer-reported issues. • Coordinate content and timelines for hardware and firmware releases, ensuring quality and timely delivery. • Identify and mitigate technical and schedule risks throughout the project lifecycle. • Provide technical guidance and hands-on engagement in board-level design issues, validation planning, hardware bring-up, and debugging. • Deliver regular status updates to executive stakeholders and drive decisions at critical project milestones. • Gather and communicate requirements in a collaborative manner across all stakeholders. Requirements Technical Skills • B.Sc. or higher in Electrical Engineering, Computer Engineering, or a related technical field. • 7+ years of experience in hardware program/project management or systems engineering roles. • Proven experience managing hardware development with external ODMs or hardware vendors. • Strong technical knowledge of networking hardware, high-speed board design, firmware, and hardware/software integration. • Experience with hardware validation, bring-up, and debugging tools. • Track record managing the full product lifecycle for hardware- and software-based products, from requirements to launch. • Working knowledge of project management methodologies (Agile and Waterfall). Soft Skills • Strong cross-functional collaboration skills, with the ability to align engineering, product, legal, and supply chain teams around a shared plan. • Excellent communication and negotiation skills, including the ability to translate technical hardware issues into business impact for executive stakeholders. • Proactive and comfortable operating with ambiguity, with the initiative to help stand up a new group and its processes from the ground up. Nice to Have / Advantage • Experience in the telecom or networking industry. • Background in AI infrastructure, data center, or GPU networking hardware. • Familiarity with whitebox hardware development models. • Experience in Agile or hybrid hardware-software development environments. • Experience with customer-facing issue management and escalation handling. • PMP certification or equivalent project management credential. • Exposure to DevOps practices and tooling.

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.

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 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/

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!

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!

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!

We are seeking a highly motivated Senior IC-System Architect for High Speed Networking Systems. To join our team of experts and help build the future of high-performance computing focusing. Our next-generation InfiniBand, NVL and Ethernet switches will be at the forefront of connecting and powering the world's most advanced compute clusters, from supercomputers used in AI research to high-performance clusters used in vast industries. You will work on some of the most groundbreaking technology as a IC-System Architect for High-Speed Networks at NVIDIA focusing on improving our ASIC solution. The products you'll develop will be coordinated in many groundbreaking compute clusters, and supercomputers. What you'll be doing: • Crafting and architecting the ASIC - System requirements for NVIDIA Systems focusing on ASIC yield improvements. • Collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and hardware teams, to ensure the successful execution of the project optimizing High-speed networking system in the out of space environment. • Leading the development and implementation of the systems to ensure world-class performance, reliability and at scale high quality ASIC manufacturing. • Successfully implementing and managing projects to meet ambitious deadlines and performance targets. What we need to see: • BSc or MSc in Electrical Engineering or equivalent experience. • 8+ years of experience in Chip design, System and HW. • Deep understanding of how to build and integrate systems with various technology components. • Proficiency in advanced system-level Architecture. • Excellent communication skills to effectively work with diverse teams and collaborators. • Can-do attitude and high energy with leadership and excellent interpersonal skills and possess the ability to learn sophisticated concepts in a fast-paced environment. • Possess strong managerial, problem solving and critical thinking skills. • Attention to details on design and high focus on design quality. 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!

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. At NVIDIA, we’re transforming the way the world interacts with technology. Our CPUs are at the heart of groundbreaking innovations across AI, gaming, and autonomous vehicles. Join our CPU Performance Architecture team in Israel and be part of a company that is pushing boundaries and making an outstanding impact globally. This is your opportunity to help build the future of computing with your expertise and passion! What you'll be doing: • Innovating and improving CPU performance through modern microarchitectural ideas. • Modeling potential improvements to determine their merit and feasibility. • Implementing effective solutions and collaborating closely with build, functional and performance verification, and post-silicon teams. • Resolving critical issues related to timing, power, and area to achieve flawless implementation. • Partnering with lead microarchitects to meet the CPU core’s performance, area, and power targets. • Advocating for microarchitectural ideas, communicating their benefits and drawbacks in various mediums. • Driving the microarchitecture definition with enthusiasm and energy, leading by example. What we need to see: • At least 8 years of experience in a frontline role within state of the art flagship CPU projects. • Deep understanding of brand-new CPU microarchitecture and architecture. • Proven track record of CPU microarchitectural innovation across areas such as Midcore CPU Uarch or Memory Subsystem CPU Uarch. • Experience in performance modeling, debugging, and demonstrating the merit of innovative ideas. • Close collaboration skills with build and verification teams to successfully implement microarchitectural improvements. • Strong critical thinking, communication, and advocacy abilities. • Minimum educational requirement: Bachelor’s degree in Electrical Engineering, Computer Engineering, or related field, or equivalent experience. Ways to stand out from the crowd: • Experience leading microarchitecture definitions and driving performance improvement initiatives. • History of collaboration with architects and microarchitects to achieve ambitious targets in a highly competitive environment. • Demonstrated ability to think critically and advocate for complex yet performant ideas successfully. • Energy & Enthusiasm for driving innovation and leading by doing.

Are you passionate about working on a team that is at the cutting and bleeding edge of hardware technology? Our Design-for-Test Engineering team at NVIDIA works on groundbreaking innovations involving crafting creative solutions for DFT architecture, verification and post-silicon validation on some of the industry's most sophisticated semiconductor chips. We are looking for an experienced DFT Engineer to join the ATPG team. The position includes taking part in development of the next generation DFT technologies and working closely with a wide range of our groups and aspects - chip design, backend, verification, and production testing. Working on the most advanced technologies and complex products, our DFT solution are unique and innovative internal developments, and we are continuously improving and evolving the solution to meet the challenging goals. If you find groundbreaking Technologies, and next generation products interesting, then this is the team for you. Take opportunity to join our team for an exciting and educational environment, where every individual has significant contribution to our products and achievements! What you’ll be doing: • You will be in charge of state of the art Design for Test/ATPG flows and implementation • Take full ATPG ownership end to end on a project, from Arch & planning to pattern generation, verification and post Silicon bring up and diagnosis. • Inventing and maintaining automation flows that provide the short test time to production What we need to see: • 5+ years of hands on DFT/ATPG experience knowledge & technical experience in DFT ASIC Design and in ATPG tools • Experience in Mentor TestKompress ATPG tool and retargeting flow • Strong programming skills in scripting languages • BSc. in Electrical Engineering or Computer engineering • Quick learner, proactive and self-motivated, eager to learn and contribute, sense or ownership, commitment, and responsibility Ways to stand out from the crowd: • Knowledge of DFT including scan, BIST, on-chip scan compression, fault models, ATPG, and fault simulation • Programming languages: TCL, PRL, Phyton & Unix shell scripts • Experience with ATE and Silicon bring-up NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and autonomous, we want to hear from you! You will have the opportunity to work on some of the most incredible products on the market today.

NVIDIA networking unit is a world-leader fast-growing company which supports the most powerful supercomputers in the world. We make outstanding artificial intelligence happen and accelerate Open-AI’s Chat-GPT, for example. We believe in our people and products and seek excellent people to join us! We're looking for a hardware u/architect for our switch division. In this position, as part of a small (~10 employees) elite team, you will have the chance to define the architecture of NVIDIA’s next generation switch product lines’ performance, both Ethernet and InfiniBand. Your role will be cross-disciplinary, working with software, ASIC design, verification, physical design and platform teams to improve performance and debug. What you'll be doing: • Learn and understand the switch u/architecture thoroughly across all aspects and become a source of information for the design and verification engineers. • Define the implementation of the most sophisticated performance features of our next products, balancing architecture requirements with backend, execution, and design considerations. • Define the implementation of debug capabilities to support performance validation and improvements • Understand our system requirement and help define the POR of our switch product line. • Face the most challenging Full-Chip correctness and performance issues, which cannot be handled by the units’ designers as they require full cross-unit understanding of the chip. • Work closely with board and package design to understand the different design limitations: power, di/dt, temperature, signal-integrity etc. • Thoroughly understand Ethernet, InfiniBand and NvLink protocols. What we need to see: • B.Sc. in Electrical Engineering from a known university • Excellent grades • 5+ years of experience in ASIC design/uarch/arch/performance • At least 4 years of hands on experience in writing Verilog/VHDL or • Strong analytic capabilities, and passion for solving logical issues • Strong debug skills • Ability to drive complex activities involving many interfaces and teams • Good communications skill Ways to stand out from the crowd: • Knowledge in switching fabrics with strict performance requirements. (Networking, SOC connectivity, etc) • Experience as an HW-architect. • Familiar with working on large high-end ASICs. • Experience in performance improvements in ASIC

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

NVIDIA Networking team is looking for an outstanding candidate who thrives in a multifaceted environment, to facilitate managing SW Releases for our leading SW products by taking responsibility for cross projects activities. In addition, ensure releases are delivered on time and in high quality, coordinate between development and testing groups and between global SW groups. The role will require to gain good understanding of products’ dependencies. What you’ll be doing: • Be an effective leader in crafting and driving a delivery of high quality SW in an efficient way. • Collaborate with Engineering, Operations, Architecture and Marketing across the globe to coordinate the release of products and ensure release will meet the schedule and with high quality. In parallel, partner with the QA teams to ensure alignment of all tests between the development, verification and QA groups. • Take full ownership of projects from kickoff to signoff. • Manage multiple parallel releases with strong attention to detail, ensuring clarity, alignment, and consistent communication across teams while tracking dependencies, milestones, and deliverables. • Maintain clear, up-to-date visibility of the release status, ensuring all stakeholders have an accurate understanding of progress, next steps, priorities, and risks at any given time. • Support Senior Release Managers with release activities. • Own and manage selected cross-products topics (e.g., customer bugs, release checklists, RCAs, Triage, define and improve processes). • Conduct release meetings and communicate release status. Resolve issues when they appear and raise red flags when needed. Work with planning and tracking systems to lead the release progress, and build release indicators. What we need to see: • Bachelor's or Master’s degree or equivalent experience in Computer Science or industrial Engineering with technical experience. • 3+ years of proven experience as a Release manager or SW project leadership. • Great interpersonal skills. • Agility with multi-tasking abilities and work in an independent and organized way. • Excellent problem-solving, analytical thinking and critical thinking abilities. • Ability to self-manage, self-start, lead technically and communicate effectively. • Excellent presentation skills and eloquent English. Public speaking required. • Experience in leading global projects. • Proficiency with tools such as MS Excel, Atlassian Confluence, enterprise ticket system e.g. Redmine, Jira, TFS. Ways to stand out from the crowd: • Proficiency with BI tools e.g. MS PowerBI • Good technical knowhow and familiarity with Networking and Cloud technologies • Experience with Agile software development methodology and practices • Linux OS technologies knowledge • Github knowledge

NVIDIA is looking for a passionate Senior Software Engineer to join our Simulation development team. Our team is growing, and we are looking for hardworking and experienced engineers to take part in building advanced networking simulation solutions. You will be part of a team developing next generation NIC and Switch simulation, works closely with other SW R&D teams and SW Architects. What you will be doing: • Design and develop advanced features simulating our world class Switches • Develop solutions using advanced virtualization technology • Write clean, efficient and maintainable code • Collaborate with team members, SW R&D, Architects, Chip Design and FW What we need to see: • B.Sc. degree or equivalent experience in Computer Science / Software Engineering • 5+ years of experience • Proficient knowledge and experience in C/C++ • Strong design, coding, analytical, debugging and problem-solving skills • Full ownership & end-to-end responsibility • Excellent social and written communication skills Ways To Stand Out From The Crowd: • Can do attitude, independency and agility • Ability to quickly adapt to new technology and go deep into new areas • Understanding of Networking Protocols – Ethernet, InfiniBand is an advantage • Knowledge of Virtualization, especially with KVM/QEMU is an advantage • Knowledge of Linux/Windows kernel and drivers development is an advantage NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.