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We are looking for a System Integrator to join our Product team.
In this role, you will serve as the technical bridge between products, customers, partners, and the field. You will lead product demonstrations, technical briefings, customer training, pilots, and field evaluations, while supporting the technical aspects of the sales process.
This is a hands-on, customer-facing role for someone who can understand complex systems, operate them in real-world conditions, communicate with different audiences, and bring valuable field insights back to Product and Engineering.
Key Responsibilities:
Present and demonstrate products to customers, partners, and at conferences through live demonstrations, technical briefings, and proof-of-concept sessions.
Deliver customer training and prepare instructional materials for operational and training environments.
Lead system bring-up and configuration at customer sites, including subsystem connectivity and Tier 1 technical support.
Run pilots and field evaluations end-to-end, from setup and configuration through operation and evaluation.
Support the technical side of the sales cycle, including customer requirements, technical discussions, and RFI/RFP responses.
Adapt technical presentations and demonstrations to different audiences, from field operators to senior command and procurement teams.
Maintain and continuously improve product demo environments, scenarios, and training materials.
Work closely with Product Management, Product Owners, System Engineering, UX, Operations, and Engineering teams.
Capture customer and field feedback and translate it into actionable insights for Product and Engineering.
Support customers in challenging operational environments, including degraded connectivity and GNSS-denied conditions.

We are looking for a Manual QA Tester to join our team!
Be part of a significant QA team working on complex and cutting-edge defense systems.
Responsibilities:
End-to-end testing of advanced systems
Writing STD, STP, STR test documentation
Testing across Web, Desktop, and Mobile platforms
Exposure to Android and GIS technologies

We are looking for an experienced Embedded Software Engineer to join our team and develop advanced software for complex airborne and ground-based electro-optical systems.
In this role, you will work on real-time embedded software, image and video processing, sensor integration, and system-level capabilities. You will collaborate closely with software, algorithms, hardware, validation, and system engineering teams throughout the development lifecycle, from concept and implementation to integration and field testing.
Responsibilities:
Develop and optimize software for real-time embedded systems.
Design, develop, and debug software using C++ and Java.
Work in Linux/UNIX embedded environments.
Integrate cameras, IMU sensors, LIDAR, and additional peripherals.
Contribute to image processing, video analysis, and computer vision capabilities.
Investigate system issues, perform debugging, and optimize performance.
Participate in system integration, validation activities, and field testing.
Collaborate with multidisciplinary development teams.

We are looking for Automation QA Engineer to join our team. In this role, you will be the quality owner for the Orion system - ensuring every release meets the strictest performance, reliability, and safety requirements expected from a tactical‑grade navigation solution. You will work closely with algorithm developers, embedded engineers, system integrators, and field teams.
Responsibilities:
Design, develop, and maintain automated test suites for the Orion system.
Build automation flows validating logic, algorithm performance, and sensor integration.
Run tests on simulated environments and physical devices.
Execute manual and automated tests across stress, performance, and environmental conditions.
Analyze logs, debug issues, and verify fixes.
Define and maintain QA procedures, regression plans, and verification matrices.
Contribute to CI/CD infrastructure and automation.
Collaborate with system integrators and field teams.
Collaborate with production team and develop automation testing flows also for product delivery testing (ATP).
Writing test documentation (STP / STD / STR) based on SRS / SRD
Designing and executing functional and system-level test cases
Performing System and Integration testing for software-hardware integrated systems

our company is looking for a talented Computer Vision Researcher to join advanced R&D activities for defense electro-optical systems. The role includes research, development, and Real-Time implementation of computer-vision algorithms for operational systems. What you will do: Develop and implement computer-vision algorithms for Real-Time electro-optical systems. Work with video streams, object detection, tracking, stabilization, calibration, and sensor fusion. Integrate algorithms into operational systems and support lab, integration, and field testing.

We are looking for a Windows platform expert with deep, hands-on scripting skills (PowerShell preferred) to own the security hardening, imaging, and deployment automation of the Windows environment underlying our FFRangio system.
You'll work at the intersection of low-level Windows internals (boot security, disk encryption, image management) and modern Windows virtualization and DevOps practices (CI/CD pipelines), helping us build a secure, locked down, and reliably reproducible Windows environment for a regulated medical device product.
You should be comfortable going deep - from BIOS settings and TPM chains up through image-building and pipeline automation - and who treats scripting as the primary tool for making security and deployment repeatable, auditable, and reliable, in service of a real clinical product used in the Cath lab.

Responsibilities may include the following and other duties may be assigned:
Design, implement, and maintain PowerShell-based automation for system configuration, hardening, and deployment of FFRangio Windows workstations.
Define and enforce BIOS/UEFI security settings and TPM-based trust chains (Secure Boot, measured boot, TPM attestation).
Implement and manage BitLocker and other Windows encryption mechanisms, including key management and recovery strategies.
Build and maintain Windows hardening baselines using Group Policy, AppLocker, custom Shell/UI restrictions, and Kiosk (Assigned Access) mode suited to a clinical, cath-lab environment.
Manage user/account permission models and least-privilege access schemes across managed devices.
Create, manipulate, and maintain VHD/VHDX-based images for deployment, recovery, and testing workflows.
Build and maintain CI/CD pipelines in Azure DevOps for automated build, test, and deployment of Windows images and configurations.
Collaborate with software, QA, and regulatory/quality teams to ensure hardening and deployment practices.
Document configurations, scripts, and processes for reproducibility and audit purposes, consistent with medical device quality system requirements.

We are looking for a Software Engineer to join our team building next-generation software for interventional cardiology. As a software engineer, you will be responsible for designing, writing, debugging, testing, and maintaining complex applications that process and visualize angiographic imaging in real time within the Cath lab. You will work closely with algorithm developers, software test and automation engineers, biomedical engineers, and upstream product specialists in an agile environment to refine and enhance existing applications, as well as develop new, innovative ones. You will formulate, deliver, and/or manage assigned projects and works with other stakeholders to achieve desired results. The majority of time is spent delivering R&D, systems, or initiatives related to new technologies - from design to implementation - while adhering to policies and using specialized knowledge and skills.

Responsibilities may include the following and other duties may be assigned:
Design, develop, test, debug, and implement operating system components, software tools, and utilities.
Determine systems software design requirements.
Ensure that system improvements are successfully implemented and monitored to increase efficiency.
Generate systems software engineering policies, standards, and procedures.
May work across a variety of software lifecycle activities as determined by program needs.

We are looking for a hands-on Computer Vision & AI Algorithm Engineer to develop advanced imaging algorithms for a cutting-edge medical device. The role spans the full spectrum of algorithm development - from creating new solutions to improving, maintaining, validating, and integrating them into the product. The ideal candidate is curious, pragmatic, and comfortable moving between deep learning, classical computer vision, data analysis, debugging, validation, and product integration as needed. They measure success by seeing algorithms work reliably in a real-world product and enjoy collaborating across disciplines to solve the challenges that move the product forward.

Responsibilities may include the following and other duties may be assigned:
Design, develop, maintain, and continuously improve AI, computer vision and image processing algorithms for a medical imaging product.
Own the full lifecycle of algorithm development, from concept and data definition through implementation, validation, product integration, and long-term maintenance.
Use both classical computer vision methods and machine/deep learning methods to come up with solutions for various problems in the domains of image classification, segmentation and 3D modeling.
Collaborate with SW developers, biomedical engineers, product specialists and other algorithms developers to refine and enhance existing applications.
Maintain and improve algorithm robustness, performance and reliability in production environments.
Identify opportunities for innovation and design novel algorithms to address complex technical challenges.
Stay at the forefront of relevant academic research by reviewing the latest papers and evaluating their potential impact on the companys algorithmic stack.

We are looking for a Software QA Automation Engineer to contribute across Scrum teams and help ensure software quality, reliability, and safety throughout the development lifecycle.

This is an on-site, full-time position based in Kefar Sava, Israel, reporting directly to the Software QA Team Leader. The engineer will own both manual and automated testing, work closely with software development teams, contribute to Continuous Integration and Continuous Delivery (CI/CD), and help embed quality from day one.
Responsibilities may include the following and other duties may be assigned:
Develop, implement, and maintain automated test solutions within CI/CD pipelines for end-to-end functional and regression scenarios
Own manual and automated test execution and reporting within assigned Scrum teams, including functional, regression, and exploratory testing as part of sprint delivery
Analyze test results and failure trends to provide actionable insights and communicate findings clearly to developers and stakeholders
Participate in sprint ceremonies and collaborate with developers to improve software testability throughout the development lifecycle
Contribute to automation standards and testing best practices across Scrum teams
Share automation capabilities and knowledge to align testing approaches across teams

We are looking for a Software QA Automation Engineer to contribute across Scrum teams and help ensure software quality, reliability, and safety throughout the development lifecycle.

This is an on-site, full-time position based in Kefar Sava, Israel, reporting directly to the Software QA Team Leader. The engineer will own both manual and automated testing, work closely with software development teams, contribute to Continuous Integration and Continuous Delivery (CI/CD), and help embed quality from day one.
Responsibilities may include the following and other duties may be assigned:
Develop, implement, and maintain automated test solutions within CI/CD pipelines for end-to-end functional and regression scenarios.
Own manual and automated test execution and reporting within assigned Scrum teams, including functional, regression, and exploratory testing as part of sprint delivery.
Analyze test results and failure trends to provide actionable insights and communicate findings clearly to developers and stakeholders.
Participate in sprint ceremonies and collaborate with developers to improve software testability throughout the development lifecycle.
Contribute to automation standards and testing best practices across Scrum teams.
Share automation capabilities and knowledge to align testing approaches across teams.

This role sits at the intersection of customers, Engineering, Data Science, GIS, Sales, Marketing, and Customer Success. You will translate validated market needs into scalable products, clear technical requirements, and prioritized roadmaps.

The ideal candidate combines strong product strategy, technical fluency, customer discovery, and hands-on product ownership, with experience building B2B technology products in data-rich or infrastructure environments.



Key Responsibilities


Product Strategy & Roadmap

Own and evolve the product roadmap in line with company and revenue goals.
Shape the positioning and evolution of Recover, EarthWorks, EO Discover, and future SaaS, DaaS, API, and AI offerings.
Prioritize scalable, recurring product opportunities over one-off customer requests.
Build business cases and define product KPIs to support investment and prioritization decisions.


Customer & Market Discovery

Conduct structured Voice of Customer research with utilities, engineering firms, agencies, and partners.
Translate customer workflows into clear problem statements, personas, and Jobs-to-be-Done.
Validate concepts through prototypes, MVPs, pilots, and market feedback.
Assess market size, adoption potential, and willingness to pay.


Product Ownership & Delivery

Translate strategy into epics, features, user stories, and acceptance criteria.
Own and prioritize the backlog based on customer value, strategic fit, dependencies, and effort.
Partner closely with Engineering, Data Science, UX, and GIS through planning, refinement, development, and release.
Coordinate UAT, define release criteria, and ensure clear traceability from customer problem to measured outcome.


Technical Product Leadership

Work across SaaS, cloud platforms, APIs, integrations, AI/ML, geospatial analytics, remote sensing, and SAR.
Translate technical capabilities into customer-facing products and workflows.
Understand architecture, data flows, integrations, and technical trade-offs well enough to work effectively with R&D.
Challenge technology-led development that lacks clear customer or market value.


Go-to-Market & Product Performance

Partner with Marketing, Sales, and Customer Success on ICPs, packaging, pricing, positioning, launches, pilots, and POCs.
Support strategic customer and partner engagements.
Track product success through adoption, retention, revenue, customer value, quality, and time-to-value.
Use customer feedback, product usage, and competitive insights to drive continuous improvement.


Product Operations

Improve intake, prioritization, release-management, and product governance processes.
Build practical templates and dashboards for roadmaps, business cases, launches, and product performance.
Strengthen coordination across Product, Engineering, Operations, Sales, Marketing, and Customer Success.

We are seeking a BSP Software Design Engineer to join our R&D team in Israel.

The role involves developing and integrating Board Support Packages (BSPs) and low-level drivers for real-time embedded systems operating in mission-critical and rugged environments.

Key Responsibilities

- Design, implement, and maintain BSPs and device drivers for embedded platforms.

- Work closely with hardware, systems, and QA teams to ensure robust hardware-software integration.

- Participate in bring-up activities, debugging, and optimization of embedded platforms.

- Contribute to system architecture discussions and provide technical input on platform design.

The Director of AI Enablement is both a builder and a transformation leader, someone who can identify opportunities, design and implement AI solutions, and drive adoption across the organization to create measurable business value.

Reporting directly to the CEO, this is a highly visible, hands-on leadership role at the intersection of business transformation, technology, and organizational change.

The successful candidate will lead AI roadmap, build practical AI solutions, drive adoption across functions, and help transform how work is performed throughout the organization.

What Will You Do?

Define and execute AI roadmap.

Identify, prioritize, and implement high-impact AI opportunities across the business.

Partner with business, operational, engineering, and corporate functions to understand workflows, pain -points and improvements opportunities.

Translate business challenges into practical AI use cases and measurable outcomes.

Design, build, pilot, and scale AI-powered solutions, including AI agents, copilots, automations, knowledge assistants, and business applications.

Partner with IT, Engineering, Infrastructure, and Security teams to ensure scalable, secure, and sustainable solutions.

Lead the transformation, not just the technology; drive AI adoption across departments and help leaders redesign processes and ways of working to maximize AI value.

Work hand-in-hand with HR and business leaders to lead the organizational transformation required to successfully adopt AI, build internal capabilities, and embed new ways of working across the company.

Establish and lead the core pillars of the AI Enablement program: Adoption, Infrastructure, and Solution Development.

Build and lead a community of AI Builders and Leaders across the organization.

Establish AI governance, Responsible AI practices, and security standards.

Measure and communicate business impact through adoption, productivity gains, efficiency improvements, time savings, and ROI.

Success is measured not only by building AI solutions, but by driving meaningful improvements in productivity, efficiency, quality, decision-making, and business performance across the organization.