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We are looking for a Ground Systems Integration Engineer to join a multidisciplinary team responsible for the integration and operation of satellite ground systems, with a strong focus on RF and communication technologies, including antennas, satellite modems and ground station equipment.
Responsibilities:

* Integrate and support satellite ground system components, including RF, hardware, software and network elements.
* Collaborate with multidisciplinary engineering teams.
* Troubleshoot system and RF -related issues.
* Create and maintain technical documentation.
* Support project execution and on-site activities abroad.

Responsibilities
Reach out to a high volume of outbound leads and follow up on inbound leads from multiple sources Work against new business goals on a weekly, monthly, quarterly, and annual basis Partner closely with Marketing and Account Executives to nurture leads from first contact through to valid opportunities Collaborate across Sales, Marketing, and Product to share critical customer feedback Regularly monitor leading indicators of success and report on pipeline health Drive systems, AI tools, and process improvements that grow the new business pipeline Help build and refine a scalable training and development curriculum for the SDR team Establish and maintain effective 1:1s, weekly meetings, and outreach cadences
About US
The pipeline acceleration company - empowers developers to radically accelerate their work by shortening build times, supporting agentic AI development needs, and enabling more iterations and faster product releases. Hundreds of customers, including world-leading brands, trust our platform to streamline and accelerate everything from compilation to release automation, saving significant resources and accelerating time-to-market. Weve helped over 200,000 developers at tech giants like Microsoft, Samsung, Nintendo, and Amazon build some of the most successful software across industries such as gaming, financial services, Embedded software, automotive, and more. In recent years, we have been in hyper-growth, expanding globally while adapting our solutions and operations to the changing market landscape to keep growing our market share. This is your opportunity to join a category leader and make a difference.
The Position
We are looking for an experienced and talented SDR professional to join our fast-growing sales organization! In this role, youll help establish our Sales Development function, reaching out to a high volume of outbound leads and following up on inbound leads generated from multiple sources. Youll work closely with the Marketing and Account Executive teams to nurture leads from initial contact through to valid opportunities and closed-won deals, and youll be measured against new business goals on a weekly, monthly, quarterly, and annual basis. Were looking for someone who can bring structure to 1:1s, weekly meetings, and overall cadences, and whos comfortable refining processes and implementing new systems. You should be passionate about working in a team environment and bring the accountability needed to grow our business funnel significantly.

We are seeking an AI Security Researcher to join Dashs core research team. Youll investigate how AI agents - spanning coding agents, SaaS AI platforms, cloud, and endpoints - can be abused, and design detections that stop threats before they cause impact. Each platform is different, yet they share common risk patterns across prompts, tools, MCP servers, skills, hooks, identity, and data movement. Your mission is to master both: uncovering unique attack surfaces while building universal, session- and intent-aware defenses. This role combines deep platform research, responsible security testing, and close collaboration with engineering to translate findings into production runtime protection. You will help define the field of Agentic Security.
Responsibilities:
Research agentic threats: Prompt injection, tool/plugin/MCP abuse, skill and hook misuse, rogue autonomy, identity misuse, data leakage, adversarial AI, and protocol exploitation across coding agents and enterprise AI platforms.
Develop runtime detections: Design detections for multiple environments (coding agents, SaaS AI, cloud, endpoints), leveraging platform hooks, APIs, telemetry, and native guardrails where available.
Analyze platform complexities: Deep-dive into architectures, permissions, workflows, and agent capabilities (MCP servers, Skills, plugins, extensions) while extracting cross-platform risk patterns.
Build scalable detection logic: Prototype and refine heuristics, signatures, and intent-aware detectors that hold up at enterprise scale with low friction for builders.
Investigate monitoring and enforcement boundaries: Push what platforms allow for visibility and control - hooks, plugins, configuration surfaces, inventory signals, and policy enforcement points.
Prototype PoCs: Validate attack paths end to end, then turn findings into production-ready signatures, heuristics, detectors, and runtime policies.
Collaborate with engineering: Embed research into Dashs detection pipelines, session-aware runtime protection, and policy/governance modules.
Stay ahead of the field: Track adversarial AI and agent security research, continuously evolving Dashs detection and enforcement coverage.

The Embedded control teams develop SW products that create the basic building blocks of the SolarEdge system and deal with various fields - power conversion algorithmic, communication algorithmic, optimizations, rt problems on different platforms - DSPs, Companys ASIC and digital controlled power converters for photo-voltaic power systems. Our technological challenges are taking part in the following fields: power electronics, digital close loop control and Digital Signal Processing algorithms implemented on companys microprocessors. By joining us, youll have the chance to develop unique products from concept level to mass production, while working with advanced simulation and developing tools.
What you will be doing:
* Learning the different aspects of our products by developing features in various areas and disciplines - power electronics, control theory, DSP and communication over different platforms.
* Developing on various micro-controllers and dealing with various rt constraints.
* Ownership of a project/product from end to end- from concept and simulation, through development and integration and field deployment.
* Building complex simulations integrating SW and HW.


Country:
Israel

City:
Herzliya

You will be a senior engineer on the team that owns real-time data platform. The platform turns operational events (orders, driver locations, geofence transitions, shifts, MQTT session events) into live analytics, routing inputs, and warehoused data across Postgres/TimescaleDB, ClickHouse, and BigQuery. You will own the platform end-to-end: design, implementation, deployment, and production operation of the streaming jobs, CDC pipelines, Kafka Connect bridges, and downstream sinks that move this data.

What Will You Do
Designing, implementing, and operating stateful Apache Flink streaming pipelines: keyed state, windowing, watermarks, timers, side outputs, custom sources/sinks.
Designing, developing, deploying, and maintaining Change Data Capture (CDC) pipelines using Flink CDC or Debezium, moving operational database changes into the streaming platform with correct snapshot/incremental handling, schema evolution, and downstream idempotency.
Building and operating Kafka and Kafka Connect pipelines: topic and partition design, source/sink connectors in distributed mode, schema and converter management, and dead-letter routing.
Owning the path from Kafka → Flink → Postgres / TimescaleDB / ClickHouse / BigQuery, including schema design, idempotency strategy, batch tuning, and observability.
Diagnosing and fixing production issues: checkpoint failures, backpressure, state growth, sink slowness, autoscaler oscillation, restart loops.
Hardening the platform: delivery guarantees, watermarks, DLQ handling, schema migrations, alerting coverage.
Code reviews and mentoring mid-level engineers.
Contributing to the deployment side: Helm charts, ArgoCD applications, GKE configuration, Grafana dashboards, Prometheus alert rules.
Influencing direction: state backend choices, schema migrations, when a pipeline needs to be split or rebuilt.

We are seeking a Software Engineer to join Dashs core development team. You will design, build, and ship the platform that powers discovery, session-aware detection, policy governance, and runtime enforcement across workstations, SaaS, and cloud. You will work on scalable, low-latency services that process agent activity in real time and enforce security policies without slowing builders down. This role requires strong engineering fundamentals, a focus on system reliability, and an interest in the unique challenges of agentic security.
Responsibilities:
Design and Implement Services: Design, develop, and deploy scalable backend services and APIs for the Dash Security platform (customer and admin APIs, detection ingestion, aggregation, and control-plane services).
Build Core Features: Implement features for agent/MCP/skill discovery, session and intent-aware detection, policies, and runtime enforcement across coding agents and enterprise AI platforms.
Optimize Runtime Protection: Maintain and optimize high-throughput detection and enforcement pipelines that operate at enterprise scale (ingestion, detectors, verdicts, and policy dispatch).
Integrate with Platforms: Build and deepen integrations with coding agents, SaaS AI platforms, identity providers, EDR, SIEM, and outbound action systems to ingest telemetry and enforce controls.
Ensure Reliability: Focus on code quality, performance, monitoring, and stability through robust testing, CI/CD, and operational excellence.
Collaborate with Research: Partner with the AI Security Research team to turn findings, signatures, and heuristics into production-ready detectors and enforcement logic.
Contribute to Architecture: Participate in technical design and architectural reviews across our codebases, agents, and event-driven backend services.
Stay Current: Continuously learn and apply new technologies, development methodologies, and security best practices.

we are looking for a Senior Backend Infrastructure Engineer to join our Backend Infrastructure team. This role is focused on designing, building, and improving the backend infrastructure that powers delivery platform. The engineer will work on scalable backend services, shared infrastructure components, internal frameworks, system reliability, performance optimization, and cross-team technical enablement. The ideal candidate is a strong backend engineer with solid experience in C# and .NET Core, distributed systems, databases, cloud environments, and production-grade backend services. The candidate should also be comfortable adopting modern AI-assisted development tools such as Cursor, Claude, and similar coding assistants to improve development quality, productivity, code review, and technical research. The engineer will work closely with backend product teams, DevOps, data engineering, mobile, and frontend teams to deliver reliable, secure, and high-performing systems.

What Will You Do
Design, develop, and maintain backend services using C# and .NET Core.
Build shared backend infrastructure, internal libraries, SDKs, reusable components, and service templates used by multiple engineering teams.
Support backend teams with architecture reviews, technical guidance, best practices, and performance improvements.
Help improve backend development velocity, code consistency, and production readiness across teams.
Work with relational and NoSQL databases such as SQL Server, PostgreSQL, MySQL, and MongoDB.
Design and optimize database queries, indexes, schemas, and data access patterns.
Build and maintain search and caching solutions using technologies such as Elasticsearch and Redis.

we are looking for a BIM & Architecture Domain Expert (Frank Skills).
What youll do:
Specify new Frank skills end to end: the trigger, the expected result, the edge cases, and the firm conventions they must respect.
Validate skills against real Revit and ArchiCAD models, catching the failure modes only an experienced architect would notice.
Encode firm standards (annotation rules, graphic conventions, QA logic) into something Frank applies consistently.
Partner with customers BIM leads to translate their standards into Frank, and feed what you learn back into the product.

Required Technical Support Specialist - Student Position
Description
Come Join us as a member of the Technical Support Team and part of our Operations, where you will take part in facilitating and managing technical support and monitoring.
Main Responsibilities:
Being part of our customer facing team responsible for technical support and troubleshooting
Working in a 24/7 support hours' shifts
Gathering detailed technical information as needed and investigating issues to solve problems, evaluate and escalate priority issues as needed.
Spotting common trends and underlying problems
Providing reliable resolution of critical and high impact problems for customers
Updating self-help documents so customers/employees can try to fix problems themselves
Working closely with our developers and technical teams to solve customers problems efficiently and improve our product
Creatively suggest and build software work-around solutions, including occasional scripting/ coding and customizations
Part and full-time/ weekends position available.

We are looking for an SDR to join our Expansion team in Tel Aviv. The role includes identifying potential businesses, creating initial contact, opening doors, and scheduling high-quality meetings for the sales team. This is a dynamic role that combines phone outreach and business research. It is a great fit for someone who loves sales, knows how to create good conversations, is not afraid of targets, and wants to grow in the world of Business Development and Sales.

What Will You Do
Identify and map relevant businesses in Tel Aviv by area, category, and business type.
Reach out to restaurants, markets, cafés, and local businesses.
Understand the business needs of potential partners and present initial value proposition.
Schedule high-quality meetings for the sales team.
Manage and track leads in the CRM system.
Work closely with the sales team.
Update lead status, business potential, and future opportunities on an ongoing basis.
Meet weekly and monthly targets for calls, scheduled meetings, and qualified leads.

We are looking for a proactive and skilled Software Infrastructure Developer with a strong Agentic AI focus to join our team. In this role, you will design and build the infrastructure, tooling, and AI-powered automation that keep our engineering systems reliable, scalable, and intelligent.
You will be responsible for embedding GenAI and agentic capabilities into our internal developer platforms and CI/CD workflows - creating frameworks, libraries, and multi-agent systems that accelerate automation, improve system stability, and unlock new levels of engineering productivity. This is a hands-on role for someone who thrives at the intersection of infrastructure engineering and applied AI.
The ideal candidate brings deep technical expertise in Python (FastAPI) and/or TypeScript, Kubernetes, CI/CD (Jenkins, GitHub Actions), containerization, and cloud infrastructure - combined with hands-on experience building LLM-powered applications, agents, MCP servers, and RAG pipelines.
What you'll be doing:
AI Platform Development: Design and build internal AI platforms, reusable SDKs, libraries, tools, and MCP servers for agentic applications.
Agentic Workflow Development: Develop single- and multi-agent workflows covering planning, tool selection, delegation, state and memory management, execution, retries, fallbacks, error recovery, and human-in-the-loop approval.
AI-Powered Infrastructure & CI/CD: Integrate AI capabilities into Kubernetes infrastructure and Jenkins/GitHub Actions pipelines to improve development, testing, deployment, and operational workflows.
AI Observability & Evaluation: Implement agent tracing, prompt and tool-call logging, latency and error monitoring, token and cost tracking, regression testing, and failure analysis.
AI Security & Governance: Apply guardrails, access controls, auditability, and governance practices to ensure agents operate safely and reliably.
End-to-End Platform Ownership: Own AI platform capabilities from architecture through production and build reusable solutions that accelerate adoption across engineering teams.
Cross-Functional Collaboration: Collaborate with engineering and business teams to identify high-impact AI opportunities and translate them into scalable technical solutions.
AI Research & Innovation: Evaluate emerging AI frameworks, models, and cloud technologies and promote their adoption where they provide measurable value.