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We are looking for a Senior Backend Tech Lead to join our infrastructure team. In this role, you will design, develop, and maintain backend systems to drive product scalability and performance. You will work with a range of technologies, including Python, Java, SQL, REST APIs, and cloud services, with deployments in both cloud and on-prem environments. You will collaborate closely with engineers, product managers, and other stakeholders to build new features and optimize existing systems to meet business demands.
Responsibilities:
Own and maintain core backend services that support millions of daily operations.
Collaborate with cross-functional teams to deliver high-quality features using Agile methodologies.
Ensure backend infrastructure is scalable and efficient, leveraging cloud services for server deployment.
Optimize system performance for both cloud and on-prem deployments.

We're looking for a talented and motivated Support Engineer to join our team!
You will be responsible for troubleshooting, identifying issues, and delivering professional service to our customers.
Responsibilities:
Providing remote Tier 3 support for our Embedded information security solutions to ensure exceptional service delivery to our valued customers. Identifying and efficiently resolving technical issues with a high level of professionalism, ensuring optimal client satisfaction.
Collaborating closely with the IT and information security teams of our clients, fostering strong working relationships, and meeting their specific needs.
Acquiring an in-depth understanding of security solutions from various manufacturers, enabling you to offer specialized expertise and guidance to customers.

We are seeking a seasoned Backend Developer with a solid background in high-load environments and experience in managing multiple Linux servers. The ideal candidate is someone who thrives in a fast-paced, innovative, and technology-driven culture.

Responsibilities:
Own architecture for high-scale, user-facing backends and data pipelines.
Lead and mentor engineers; guide design reviews, roadmaps, and execution.
Operate production systems with clear SLOs/SLAs, on-call quality, and blameless postmortems.
Evolve our K8s/GPU platform, CI/CD, and observability to increase deployment velocity and resilience.
Integrate and serve ML models (PyTorch, CUDA/TensorRT, Triton) with a focus on throughput and cost.
Partner cross-functionally (ML, Product, Security, Finance) on priorities and cost/perf trade-offs.
Hire, level up the team, and uplevel engineering standards.

Job Type: Full Time.
Job Location: Beer Sheva, Hybrid, Tel-Aviv.

The CTO Integrator plays a key role in planning, building, and conducting tests of jigs for experiments. This position involves designing, building, and integrating test systems to ensure experiments meet their required specifications and physical phenomena.

Responsibilities:
Jig Construction and Testing: Build and integrate jigs, then conduct tests to ensure they function as required.
Test Design: Design and develop tests for experiments in a research and development environment.
Simulation Verification: Ensure that test jigs simulate the necessary physical phenomena for accurate testing.
Technology Assessment: Examine new technologies, run tests, and analyze data for potential integration.
Collaboration with Researchers: Work closely with researchers to ensure test systems align with experimental needs.

We are looking for an experienced IT Manager with 10+ years of expertise, strong customer service orientation, and a broad understanding of IT domains. The ideal candidate will have deep knowledge of cloud services and automation.
Responsibilities
Lead and manage a team of 4 professionals.
Build, maintain, and operate on-prem and cloud infrastructure supporting internal labs and engineering/product needs.
Design and manage environments simulating customer setups using diverse technologies:
Thousands of VMware-based virtual machines (primarily Windows, some Linux).
Storage systems such as NetApp, EMC, and others.
VRA environments.
Tanzu Kubernetes Grid (TKG) infrastructure.
Additional technologies as required.
Co-manage cloud-based infrastructure (AWS, GCP, Azure) for development purposes, including POCs and environment simulations.
Monitor budgets and expenses.
Support development and product teams.
Manage licenses.
Administer M365 tenants for lab purposes.
Develop automation scripts using PowerShell or other scripting languages.
Collaborate with multiple internal teams - development, support, and product management - to address ongoing needs.

We are seeking a highly skilled and motivated Technical Writer to join the Education Teams effort in auditing, revamping, and creating content for our customer-facing Help Center/Knowledge Base. This role is critical as the quality and structure of the documentation will directly feed and train our new AI support tools and directly support our customers.
our Education team members have a deep desire to fully understand complex concepts, then be able to break them down to present them in a well-structured yet simplified and engaging manner.
The ideal candidate will be a strategic thinker who is a team player and an educator at heart, passionate about technology, with a deep understanding of technical documentation standards, information architecture, and the specific requirements for AI-ready content, training and education methodologies.
Responsibilities:
Knowledge Base Revamp & AI Optimization:
Conduct a comprehensive audit of the existing Help Center content for accuracy, clarity, completeness, and consistency as we migrate to a new tool.
collaborate and maintain a new information architecture and content structure optimized specifically for ingestion and utilization by AI support tools (e.g., clear, concise articles, defined topic boundaries, robust tagging/metadata).
Collaborate with the AI/Engineering teams to understand the technical requirements for content delivery to the AI platform and establish content governance rules.
Content Creation and Management:
Write, edit, and publish high-quality, user-friendly technical documentation, including tutorials, how-to guides, troubleshooting steps, and feature overviews for our SaaS product.
Understand target audiences to be able to accommodate the different roles and personas.
Ensure all content adheres to our brand voice, style guide, and technical accuracy.
Manage the documentation lifecycle within the chosen Knowledge Base platform (Confluence, Intercom).
Cross-functional Collaboration:
Work closely with Product Managers and Engineers to document new features and updates before launch, for both internal and external users.
Partner with the Customer Support team to identify key pain points and knowledge gaps that can be addressed by improved documentation and AI routing.
Provide feedback to the product team on UI/UX improvements based on content structure and user confusion.
Metrics and Improvement:
Establish and track key performance indicators (KPIs) related to documentation effectiveness, such as content usage, search success rates, case deflection rates attributable to the AI, and content quality scores.

we are a pioneering force in the autonomous vehicles (AV) industry.
Join us to build the brain behind the car - a large-scale, multi-task neural network that powers the core of our companys autonomous stack.
Youll design and train cutting-edge deep learning models tailored for our custom EyeQ chip, tackling end-to-end challenges and deploying real-world solutions.
From novel architectures and advanced training techniques to performance tuning under tight constraints, youll work closely with software and hardware teams to turn research into high-impact, production-ready systems.
If youre a brilliant, hands-on researcher with a passion for shaping the future - this is your launchpad.
Our team is at the forefront of our companys most advanced AI efforts. As a central hub for deep learning innovation, were trusted with designing the core neural network architecture that powers the companys flagship products. If youre seeking a high-impact role among top-tier researchers and developers - this is the place to be.

Required Senior DevOps Engineer
Joining us means entering a career journey, building your tailored development roadmap.
While seniority doesn't signify the end of learning, it can often be difficult to find the time and hands-on experience to focus on your professional development. You can choose what you want and need to learn and the hands-on practice to "walk the talk"
What Youll Gain:
Micro and Macro Perspective- With exposure to 70-100 relevant clients in the field, youll gain a broad view and deep understanding of different technologies and methodologies across various industries.
Technical Mastery: Utilize state-of-the-art DevOps tools and practices in real-world production settings, ensuring you are always at the forefront of technology. Embrace a cloud-native stack and the 15-factor app principles to build scalable, maintainable, and efficient applications.
Expert DevOps Community- Join a team of ~50 dedicated DevOps professionals who live and breathe DevOps. Youll collaborate, share knowledge, and refine practices together, growing as part of a supportive and highly skilled group.
Toolbox- As a company with over 25 years of experience, we provide a robust technical foundation and a comprehensive toolbox, developed through years of knowledge and integration of best-in-class tools.
Responsibilities:
Microservices Transformation- Lead the migration from monolithic systems to microservices using Kubernetes, Istio, and Linkerd. Your work will focus on ensuring reliability, scalability, and fault tolerance in production.
Container Orchestration- Manage Kubernetes clusters at scale, automate deployments with Helm, and integrate continuous delivery using Gitops technologies (ArgoCD).
Developer Experience- Improve CI/CD pipelines with GitLab CI, github-actions, and other tools to enhance productivity and streamline workflows.
GitOps and Automation- Implement GitOps using FluxCD and automate infrastructure management with Terraform. Youll be responsible for maintaining security and configuration management with HashiCorp Vault.
Monitoring and Observability- Build and manage observability stacks using Prometheus, Grafana, Loki, and Jaeger, ensuring full visibility and fast incident response.
Production Readiness- Define production-readiness standards and implement monitoring tools like Datadog and New Relic to ensure systems are stable and performant.

Responsibilities
​​Design and implement scalable test strategies and automation that validate end-to-end scenarios across the Fabric Platform, with emphasis on cross-workload integration and real-world usage patterns.
Partner closely with engineering, PM, and SRE teams to embed quality early in the development lifecycle and ensure reliable, production-ready releases.
Build and evolve intelligent test infrastructure that leverages telemetry, synthetic data, and production signals to detect issues before they impact customers.
Identify systemic quality risks across services and drive improvements in reliability, performance, and resilience at cloud scale.
Contribute to a culture of continuous quality by improving test coverage, reducing gaps, and enabling faster, more confident delivery.
Investigate complex issues in distributed systems, using data-driven approaches to isolate root causes and validate fixes effectively.​

Nuvoton Israel is a leading supplier of SoCs, microcontrollers and security hardware solutions for tier-1 customers in the computing and server business. A self-contained design center, spanning from product management, system and chip architecture, through design, software development, system engineering and production. Our products combine unique sets control, management, and advanced security solutions, enabling our customers to establish differentiation in their end markets. We are looking for a Chip Design Verification engineer to join our Verification team! This is your opportunity to have an impact on the design of millions of computers sold worldwide each year by leading brands.
The role includes: - Building complex verification environments - Meeting the challenges presented by state-of-the-art design - Continues professional growth using the most advanced tools and methodologies - Use AI for improved productivity

Responsibilities:
​​Design and implement scalable test strategies and automation that validate end-to-end scenarios across the Fabric Platform, with emphasis on cross-workload integration and real-world usage patterns. Partner closely with engineering, PM, and SRE teams to embed quality early in the development lifecycle and ensure reliable, production-ready releases.
Build and evolve intelligent test infrastructure that leverages telemetry, synthetic data, and production signals to detect issues before they impact customers.
Identify systemic quality risks across services and drive improvements in reliability, performance, and resilience at cloud scale.
Contribute to a culture of continuous quality by improving test coverage, reducing gaps, and enabling faster, more confident delivery.
Investigate complex issues in distributed systems, using data-driven approaches to isolate root causes and validate fixes effectively.​ ​

We are looking for a bright and passionate C /C++ Developer - Networking & Real-Time Systems to join our Elastic WAF team, located in our office in Rehovot.
The team is responsible for developing the core features and capabilities of WAF product, delivered both as SaaS and on-premises solutions. As a developer, you will be part of a team building a high-performance, real-time security system, leading technology initiatives, and projects end-to-end while maintaining high-quality standards.
You will be involved in high-impact projects and gain deep expertise in network traffic inspection, real-time request processing, and large-scale production systems.
Key Responsibilities:
Design, implement, and optimize high-performance, low-latency WAF components.
Work on real-time traffic inspection and request processing pipelines.
Own your code - from design to production, including debugging and handling live issues.
Analyze and improve performance, memory usage, and system scalability.
Research and integrate new technologies into the product.

Lead the development of our company Sensing SDK, a core software toolkit that integrates a broad set of computer vision, audio, and voice libraries, along with AI operators. The SDK is specifically designed and optimized for our companys latest NPUs and DSPs - NeuPro-M, NeuPro-Nano and SensPro2 - positioning it as a cornerstone of our companys sensing and AI platform.
Key Responsibilities:
Lead and mentor a team of software engineers developing our company Sensing AI SDK. Architect and implement high-performance sensing SW components for AI, vision, Audio and voice optimized for vectorize SIMD execution. Collaborate with compiler and DevOps teams to ensure efficient development and deployment. Drive technical excellence through code reviews, design discussions, and continuous improvement. Own the SDK roadmap, planning, and delivery cycles. Engage with customers to enable successful pre-sale processes, support integration and gather feedback.

The System Operator is responsible for operating and maintaining Digital Casting production systems in an R&D environment, working in an industrial setting under the supervision of a process engineer. The role involves working in 3 shifts: morning, evening, and night.

Responsibilities:
Machine Setup: Assemble tools and load raw materials into machines, preparing them for operation.
Calibration: Perform required calibrations to ensure proper machine functioning.
Process Monitoring: Check and input process parameters and other production data.
Equipment Operation: Operate equipment for material handling and the computerized process.
System Performance Monitoring: Monitor and report on operational equipment, ensuring optimal system performance.
Data Recording: Record process-related data in an organized manner for accurate tracking.
Quality Inspections: Perform visual inspections of quality and quantity, making adjustments to resolve issues under supervision.
System Cleanup: Disassemble cast parts and clean the system after processing at the end of each shift.
Safety Compliance: Adhere to all safety requirements and properly use personal protective equipment (PPE).
Inventory Management: Maintain and manage inventory of materials and tools.