Jobs in Tel Aviv-Yafo

Description This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence. "VAST's data management vision is the future of the market."- Forbes VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud. Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company’s growth and at a pivotal point in computing history. We are seeking an experienced Solutions Data Engineer who possess both technical depth and strong interpersonal skills to partner with internal and external teams to develop scalable, flexible, and cutting-edge solutions. Solutions Engineers collaborate with operations and business development to help craft solutions to meet customer business problems. A Solutions Engineer works to balance various aspects of the project, from safety to design. Additionally, a Solutions Engineer researches advanced technology regarding best practices in the field and seek to find cost-effective solutions. The Role We are seeking an experienced Solutions Engineer who combines strong technical depth, hands-on problem-solving capabilities, and excellent interpersonal skills. The Solutions Engineer will work closely with customers, partners, Sales, Engineering, Product Management, Support, and other internal teams to design, validate, and deliver scalable, flexible, and innovative solutions based on VAST technologies. This role combines deep technical expertise with customer engagement. The Solutions Engineer will help customers understand how VAST can address their technical and business challenges, design architectures that integrate into complex enterprise environments, develop and deliver technical demonstrations and Proofs of Concept (POCs), and troubleshoot sophisticated infrastructure and application challenges. The ideal candidate is hands-on, curious, customer-focused, and comfortable working across storage, networking, virtualization, operating systems, cloud platforms, Kubernetes, and enterprise applications Responsibilities • Understand customer technical requirements, business challenges, workloads, and existing infrastructure. • Design scalable, high-performance solutions based on customer needs and VAST technologies. • Build and present technical demos, Proofs of Concept (POCs), reference architectures, and prototypes. • Translate requirements into detailed technical designs, implementation plans, and specifications. • Deploy, configure, test, and validate VAST storage in customer, cloud, and lab environments. • Deploy and troubleshoot VAST solutions across Kubernetes, OpenShift, public/hybrid cloud, and virtualized environments. • Execute performance benchmarking, analyze workload bottlenecks, and optimize storage performance. • Analyze existing customer architectures to recommend improvements, optimizations, and integration strategies. • Troubleshoot complex infrastructure, application, networking, storage, cloud, and Kubernetes issues. • Act as a technical escalation point and collaborate with Engineering and Support to resolve issues. • Develop tools, automation, and best practices to prevent recurring technical challenges. • Create high-quality documentation, implementation guides, reference architectures, and troubleshooting procedures. • Partner with Sales and Business Development during technical evaluations and strategic opportunities. • Share customer requirements, field feedback, and product enhancement requests with Product Management and Engineering. • Research emerging technologies and evaluate integration with VAST solutions. • Develop reusable assets, automation scripts, demos, and reference environments for internal and external use. • Continuously refine methodologies for customer evaluations, performance testing, and technical enablement. Requirements Requirements • Proven experience in Solutions Engineering, Systems Engineering, Technical Consulting, or a customer-facing technical role. • Strong understanding of enterprise infrastructure and modern data center architectures. • Hands-on experience with enterprise storage technologies. • Strong knowledge of file and object protocols, including NFS, SMB, and S3. • Hands-on experience with public clouds (AWS, Azure, GCP), including networking, compute, storage, and hybrid architectures. • Hands-on experience with Kubernetes, Red Hat OpenShift, CSI, container networking, and app deployment. • Solid understanding of storage performance (throughput, IOPS, latency, concurrency, bottleneck analysis). • Practical experience benchmarking, analyzing, and troubleshooting storage performance using standard tools. • Proficiency with Linux and Windows operating systems. • Experience with virtualization platforms like VMware vSphere and Microsoft Hyper-V. • Working knowledge of Active Directory, authentication, and enterprise identity management. • Experience with backup, disaster recovery, and data protection architectures. • Strong troubleshooting skills across compute, storage, networking, virtualization, Kubernetes, and cloud layers. • Ability to quickly learn new technologies and adapt to complex customer environments. • Ability to manage multiple projects and customer engagements simultaneously. • Ability to clearly explain complex technical concepts to technical and non-technical audiences. • Strong technical documentation and communication skills. • Excellent interpersonal and cross-functional collaboration skills. • Sound technical judgment with analytical decision-making ability. Advantageous Experience Experience in one or more of the following areas would be considered an advantage: • AI/ML infrastructure and GPU environments • High-performance computing (HPC) • Hybrid-cloud and multi-cloud architectures • High-performance networking • RDMA and NVMe over Fabrics • Kubernetes storage architectures and CSI • Automation and scripting using Python, Bash, PowerShell, or similar technologies • Infrastructure-as-Code and automation frameworks such as Terraform and Ansible • Databases, analytics platforms, and data-intensive applications • Large-scale enterprise storage environments • Performance engineering, workload characterization, and benchmarking Personal Attributes • Strong customer orientation and a passion for solving complex technical problems. • Hands-on mindset with a willingness to investigate technical challenges deeply. • Ability to manage multiple priorities in a fast-paced environment. • Creative thinker who is comfortable challenging assumptions and thinking outside the box. • Highly curious and eager to learn new technologies. • Strong sense of ownership and accountability. • Excellent collaboration and teamwork skills. • Comfortable working independently while collaborating closely with local and global teams. • Flexible and adaptable in rapidly changing environments. • Strong commitment to customer success and the overall success of VAST Data.

Description 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. Having raised $587 million in three funding rounds, DriveNets is disrupting the networking market with high-scale architectures and cloud-native platforms. We are seeking people who want to make an impact on the world’s leading communication networks and have experience building large-scale distributed systems. The Group The Management Plane group builds high-performance customer interfaces and core frameworks for configuring and monitoring large-scale distributed systems. This includes a distributed transaction framework, large-scale operational state monitoring and telemetry, and APIs for interacting with the system’s configuration and runtime state. The group serves both external customers and internal R&D teams that integrate their features into the product. Meeting the system’s scale and performance requirements often requires more than incremental improvements. The group frequently undertakes large-scale improvements, deep optimizations, and systemic architectural redesigns to ensure performance and reliability in a resource-constrained environment. The Role We are seeking an exceptional software engineer with the imagination to challenge existing designs and the discipline to implement those ideas in production-quality systems. This role requires a passion for software development, strong system design skills, and deep expertise in coding and debugging. The ideal candidate is also a natural mentor, capable of guiding and developing junior engineers. This position is for a Principal Software Engineer with extensive experience in databases and systems algorithms for distributed data platforms (databases, replication, HA, data-traversal, deduplication), who can lead the design and implementation of large, complex initiatives end to end. Requirements • 7+ years of professional experience as a software engineer, building and maintaining production systems. • Demonstrated ability to lead the design and implementation of complex systems. • Proven experience designing and implementing classical algorithms (not AI/ML) and data structures in production environments. • Strong experience with database systems, both SQL and NoSQL, including schema design and performance considerations. • Ability to quickly learn new technologies and programming languages and apply them effectively to complex systems. • Strong proficiency in C++ and Python. • Experience with Rust — an advantage. • BSc in Computer Science or a related field, or equivalent practical experience.

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

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

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

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

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

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

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

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

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

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

NVIDIA is looking for an excellent Firmware Design Team Lead for NVIDIA FW PHY Group. The person will closely work with NVIDIA FW development, architecture, chip design teams and gain deep understanding of NVIDIA's Networking products and technologies. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous engineer who loves a challenge? Are you ready to become the engineer you always wanted to be? Come and be part of the best chip design team in the industry! What you’ll be doing: • Lead PHY NIC team • Scrum planning and management • Work closely with the architecture, HW, and SW design teams • Define and plan release deliveries • Debug and screen HW/FW/SW issues • Take an active part in SW development phases • Lead data-driven discussions about the product functionality and areas for improvement What we need to see: • B.Sc. or M.Sc. in Electrical or Computer Engineering • 8+ years of relevant experience • 3+ years of team leading • Proficient programming in C • Debugging experience and ability to investigate and triage difficult problems in embedded FW • Experience with developing the physical layer of communication protocols • Good communication skills and the ability to work with people across several countries • Excellent English verbal and written communication skills • Good understanding of analog, mixed-signal circuit operation Ways to stand out from the crowd: • PHY FW experience • Good understanding of SerDes operation • Knowledgeable of Hardware/Software Development Process • Strong collaborative and interpersonal skills, with an ability to successfully guide and influence We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. #LI-Hybrid

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