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ISI is seeking a QA Engineer to work closely with the Development and Product teams to enhance the delivery pace of new features in an already fast-paced environment.

Responsibilities:

* Design, implement, and execute test cases.
* Track and document bugs.
* Test web applications, including client and server-side testing.
* Run and monitor tests – functional, API (Postman), database (SQL basics), and Linux.

Advantages:

* Experience with GIS systems.
* Experience with automation.
* Experience with Selenium or similar tools.
* Familiarity with programming languages such as Python, Angular, etc.

we are looking for a Satellite Engineer to support our growing satellite constellation.
Responsibilities:

* Responsibility for the maintenance and safe operation of satellites
* Providing engineering support to operating teams
* Mitigating anomalies and coordinating upgrades and maintenance operations
* Collaborating with commercial partners and vendors
Advantages:

* Experience with space-related projects
* Proficiency in MATLAB/ Python programming

We are looking for a highly analytical Tier-2 Support Expert to act as the main escalation point for our team. You will investigate data anomalies, collaborate closely with R&D, and deliver high-quality, tailor-made technical resolutions to leading global brands.
Responsibilities
Handle complex unresolved issues from Tier-1 involving APIs, data pipelines, and dashboards.
Reproduce bugs, conduct root-cause analysis for data discrepancies, and document technical findings.
Work closely with R&D, Product, and Customer Success to prioritize bug fixes and drive systemic improvements.
Provide clear, professional technical guidance to enterprise clients while meeting strict SLAs.
Create and maintain internal Knowledge Base articles and troubleshooting runbooks.

We're looking for exceptional Senior Back-End JavaScript developers, with expertise in Node.js. MongoDB, Express, Kubernetes, RabbitMQ, Cassandra and Snowflake.
In this role, you will take full ownership of product and feature development, using cutting-edge technologies, in a fast-paced and professional agile environment.
*Hybrid position.
Responsibilities
End-to-end feature development, from conception to production.
Participate in system design and architecture planning, for optimal software performance.
Take on independent responsibilities, while contributing to the team's collective goals.
Actively learn, adapt and stay up-to-date with the evolving tech landscape, including best practices.

We're seeking a skilled, customer-oriented IT Ops / Helpdesk Specialist to join our IT team. In this role, you will be the first point of contact for employees seeking technical assistance, providing hands-on support across a wide range of systems, applications, and devices. You will play a key role in ensuring smooth daily operations, maintaining productivity across the organization, and delivering an excellent end-user experience.
In this role you will gain exposure to modern IT tools, automation, and cutting-edge technologies, as well as a chance to make a real impact on the daily experience of every employee in the company.
Responsibilities
Provide tier 1 service desk support and tier 2 technical support to end-users across Windows and macOS environments, both on-site and remotely.
Manage user accounts, access, and authentication via Okta and Microsoft Entra ID (creation, modification, policies, MFA, SSO).
Administer and support SaaS applications, including user provisioning, license management, permissions, and app assignments.
Own and execute the employee on-boarding and off-boarding processes, including device preparation, account setup, access provisioning, and secure deprovisioning.
Support and troubleshoot hardware and peripherals, including laptops, monitors, printers, conference room equipment, headsets, and mobile devices.
Administer and support Microsoft Office 365 applications and Google Workspace (Gmail, Drive, Calendar, Meet) at a basic admin level.
Diagnose and resolve hardware, software, network, and connectivity issues in a timely manner.
Track and manage support tickets through the helpdesk system, ensuring SLAs are met and end-users are kept informed.
Collaborate with InfoSec and IT Operations on security best practices, patching, endpoint protection, and compliance requirements.
Contribute to IT projects, automation initiatives, and process improvements.

We are looking for a highly skilled Detection & Automation Engineer to act as the technical cornerstone of our newly expanding 24/7 Security Operations Center. In this role, you will lead the detection engineering efforts across our entire corporate, large-scale cloud infrastructure, and core product telemetry, while playing a pivotal role in evaluating, deploying, and building our first SOAR platform.
If you are an action-oriented builder who loves writing high-fidelity detection rules, integrating APIs, automating manual SecOps tasks, and architecting data pipelines from the ground up, this role is for you.
Responsibilities
Drive SOAR Implementation: Lead the POC, selection, and deployment of a modern SOAR platform. Build the API connectors and Python-based playbooks to automate the triage and incident containment.
Own the SIEM: Lead data ingestion, parsing, and CIM mapping for our corporate infrastructure, cloud, and product telemetry
AI-Driven Automation: Integrate AI and LLM capabilities into SOAR workflows and automation scripts to accelerate alert triage, summarize complex threat data, and streamline incident response.
Advanced Detection Engineering: Translate complex threat intelligence and 3rd-party IR logic into native, high-fidelity alerts inside the SIEM and Application logging platforms
Continuous Tuning: Work closely with the SecOps Analysts in a continuous feedback loop to tune out False Positives and ensure alert fatigue is minimized.
Architectural Integration: Ensure seamless log flow and webhook integrations between infrastructure, SIEM, and our security stack.

The industry leader in the web data domain, is looking for students for a part-time Deploy position!
The position is part-time, in shifts that include nights and weekends.
Responsibilities
Monitor and support company servers in Linux
Release new features and updates on the server
QA (manual).

Were looking for an experienced and versatile BI Data Analyst to join our BI & Analytics team. In this role, youll partner closely with stakeholders across Sales, Marketing, Product, and Finance, owning analytics projects end-to-end from scoping to delivering insights, dashboards, and recommendations that drive measurable outcomes.
Responsibilities
Own end-to-end analytics projects: collaborate with stakeholders, define success metrics, and provide actionable recommendations
Translate business needs into metric definitions and data models; build reliable reporting layers and maintain clear documentation
Design, build, and maintain BI dashboards (e.g. funnels, KPI monitoring), ensuring accuracy, clarity, and adoption
Conduct deep-dive analysis to identify trends, anomalies, root causes, and growth opportunities across key business areas
Drive automation and operational improvements by leveraging AI/LLM tools alongside scripting in SQL/Python, including building a governed semantic layer and an LLM "ask data" interface
Communicate insights to technical and non-technical audiences, influencing strategic decisions through clear, data-backed storytelling.

We are looking for a highly skilled Cyber Security Engineer to play a key role in shaping and managing our internal security infrastructure, serving as a key partner to our global workforce.
In this role, you will take on complex security challenges across network security, corporate tooling, and access management.
You will help ensure our employees can work securely from anywhere in the world, leverage AI tools safely, and maintain our fast-paced culture without friction.
Responsibilities
Lead and optimize network security architectures, including modern SASE platforms, VPN configurations, SSL/TLS inspection, routing, and firewalls to ensure a seamless and a highly secure Zero Trust Network Access (ZTNA) environment.
Drive the deployment, configuration, and enhancement of enterprise security platforms, like Endpoint Security (EDR/XDR/DLP) and advanced Email Security suites (including SPF/DKIM/DMARC) from POC phase to production.
Act as a technical authority for our IAM architecture. Define strict security policies (MFA, Conditional Access) and work closely with the IT team to continuously improve our identity-first security posture.
Monitor and maintain our cloud security posture across AWS/GCP/Azure environments (including K8s & Containers). Implement cloud-native security controls, manage configurations, and ensure compliance with security standards across all cloud platforms.
Own the vulnerability management lifecycle for infrastructure, endpoints, and corporate software. Drive scanning, prioritization, and remediation tracking in close collaboration with DevOps and IT teams.
Support security incident response, assist in containment, contribute to post-mortem analysis, and help maintain IR runbooks relevant to your domains.
Help define and enforce secure usage policies for GenAI tools (e.g., Copilot, Claude, ChatGPT) to prevent data leakage.
Perform rapid, pragmatic security assessments for new SaaS applications and browser extensions.

We're looking for an AI Engineer to build and maintain the layer that connects us to the agentic AI ecosystem: our own infrastructure tooling (including MCP, CLI, skills), integrations across frameworks, orchestration,and data platforms, and the apps and demos that show the developer community what's possible.
It's a hands-on engineering role with real strategic weight, sitting at the intersection of marketing and product. You'll have autonomy, direct exposure to business leadership and strategic partners, and you'll be working at the actual edge of agentic AI - consistently ahead of where the broader community lands.
Responsibilities
Build and maintain our agentic infrastructure: MCP server, CLI, and skills distribution
Build and maintain integrations across the AI stack, including LangChain, LangGraph, LlamaIndex, CrewAI, Snowflake, Databricks, and more
Own our presence inside coding agents (Claude Code, Codex, Copilot, Cursor) - tracking recommendation rates, producing reports, and aligning with product and leadership
Build apps and agents that show the AI community what's possible with us
Publish technical content, from feature release to newsletters and strategic docs.

Required Customer Support Manager
Job Description
As a Customer Support Manager you will play a key role in ensuring exceptional customer experience related to purchasing and collection, service coordination, and solution identification. You will develop the physical and digital infrastructure, including process development, through cross functional collaboration with other operational and customer facing teams. Your leadership will be crucial in maintaining high levels of customer satisfaction, resolving complex issues, and contributing to the success of our customer support operations. This role offers the opportunity to drive customer satisfaction and loyalty while building leadership capability in a dynamic, science-driven organization.
Key Responsibilities:
Design, build, and scale the customer support infrastructure and processes, including policies, workflows, tools, and KPIs.
Operate and continuously improve customer support performance, monitoring metrics, identifying trends, and driving service quality, efficiency, and compliance
Own customer escalations and cross-functional resolution, working closely with Sales, Product, and Technical teams to ensure a seamless customer experience
Provide regular performance and customer satisfaction reporting to leadership to enable data-driven decisions
Establish internal training frameworks and knowledge standards to support consistent, high-quality issue resolution
Build, lead, and develop a small customer support team, ensuring capability, accountability, and scalability as the organization grows.

We are looking for an exceptional Deep Learning Engineer to join our core autonomy team. In this role, you will be responsible for building the AI-driven "brain" of our autonomous driving technology. Your focus will be on designing, training, and deploying state-of-the-art Deep Learning models that handle high-level prediction and driving policy. You will solve complex, real-world challenges by leveraging advanced neural network architectures to optimize decision-making under high uncertainty.
Responsibilities
Model Training & Architecture: Design, train, and optimize cutting-edge Deep Learning models for prediction and driving policy.
End-to-End DL Development: Take ownership of the full DL lifecycle, from data curation and feature engineering to training, evaluation, and deployment.
Scalable Infrastructure: Develop robust pipelines for training and evaluating models on massive, real-world driving datasets.
Production Deployment: Optimize and integrate deep learning models to run efficiently in real-time within the core autonomy software stack.
Full-time availability at our Tel Aviv HQ.

We're looking for a hands-on IT Specialist to join our fast-paced team. The role includes maintaining local and cloud infrastructure (including AWS and local training servers), supporting employees, and managing IT assets and systems.
Responsibilities
Provide technical support for employees (hardware, software, and network issues - onsite and remote).
Prepare laptops and accounts for new hires, including system access, email setup, and HID cards.
Monitor and support local servers, AWS infrastructure, and network equipment.
Maintain office equipment (printers, webcams, conference systems) and ensure meeting rooms function properly.
Handle security camera systems and server room alerts (e.g., temperature anomalies).
Track, document, and manage IT inventory across offices and storage locations.
Conduct basic security and IT onboarding training for employees.

Required AI Researcher - World Model
Description
Our breakthrough World Model technology combines aerial imagery with real-time ground views to build an accurate, rich representation of the vehicle's environment. As part of our World Modeling team, you will drive the next generation of AI-powered, cloud-defined vehicle technology-tackling ambitious research and turning cutting-edge deep learning into real-world solutions.
Responsibilities:
Research, design, and implement state-of-the-art deep learning models in computer vision (e.g., detection, segmentation, transformers, self-supervised learning).
Translate research into production-ready algorithms, writing clean, efficient, and scalable code in Pytorch.
Explore creative ideas, experiment with novel architectures, and continuously push beyond current SOTA.
Take ownership of your work end-to-end, from concept through prototyping to deployment in production.