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We are looking for a Senior DSP Software Engineer who will lead design and implementation of our innovative signal processing algorithms on the industry cutting-edge target platform, consisting of embedded cores, DSPs, and dedicated accelerators.

What will you do:
Perform analysis, design, implementation and validation of innovative MIMO imaging radar algorithms for next generation ADAS and autonomous
vehicles on our target platform.
Participate in SW architecture design and perform signal processing algorithm porting & optimization.
Address real-time constraints in a challenging memory/compute bound framework.
Be part of a goal-oriented workgroup and dynamic research & development environment.
Work in close collaboration with CTO and SW architecture team.

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 looking for a Software Principal Engineer.
Key Responsibilities :
As a Principal Software Engineer, you will:
Design, develop, and own complex software features - from requirements and design through implementation, testing, and long-term support.
Build high-performance datapath software on SPDK, integrating emerging drive, enclosure, and protocol technologies.
Own performance analysis of the storage software data path - including queueing behavior, CPU efficiency, memory usage, PCIe bottlenecks, and latency behavior.
Work closely with architecture, hardware, and software teams on HW/SW interface definition.
Experiment with and integrate emerging AI tools into the development workflow to boost productivity and innovation.
295136

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

In this role, as Embedded Software Team Leader, you will lead a team owning a key part of NPU AI software stack, a complex, multi-layered system spanning the Host (SDK, runtime, APIs, and UMD/KMD drivers) and the NPU IP (embedded firmware). This stack is at the heart of the AI software offering, with deep impact on multiple hardware and software teams ability to execute state of the art LLM, Generative AI and Neural Networks with extraordinary performance. Reporting to the AI Software SDK Senior Team Leader, you will lead a team of creative and result oriented enthusiasts that invent, design, and implement software that enables smooth connectivity between the NPU and Host CPU.



Responsibilities:

Lead and manage the Embedded Software engineering team, ensuring high performance and productivity.

Own the design, development, and implementation of your component within NPU AI software stack, aligned with the AI Software SDK group's technical strategy, architecture, and roadmap and its automated CI and release process.

Collaborate with cross-functional teams to integrate solutions. Provide technical guidance and mentorship to team members.

Ensure project timelines and deliverables are met.

Conduct performance reviews and support professional development of team members.

Collaborate globally with architects, HW teams, NPU teams, and other developer teams

Main Responsibilities:
Operational Procurement: Order maintenance, ensuring adherence to strict timelines and regulatory requirements.
Collaboration with Various Departments: Working closely with R&D, engineering, and quality assurance teams to support development and production.
Logistics Coordination: Managing inbound and outbound shipments, tracking deliveries, and ensuring compliance with aerospace supply chain requirements
Inventory and Supply Chain Management: Monitoring stock levels, coordinating with warehouses, and optimizing inventory flow.
Shipping and Regulatory Compliance: Ensuring adherence to international trade regulations, ITAR/EAR compliance, and aerospace material handling standards.

Were looking for an AI Algorithms Manager to lead the development of advanced algorithms in the telehealth domain, with a direct impact on how care is delivered and experienced.
In this role, youll lead a team of algorithm developers, drive algorithmic work end-to-end, from problem definition and data exploration to model development, evaluation, and integration into real-world systems. The work focuses on developing AI capabilities in computer vision, signal processing and LLM domains to tackle complex challenges and turn them into reliable, production-ready solutions.
Key Responsibilities:
Lead algorithmic development end-to-end- from shaping the technical problem and defining data needs to development, architecture, validation, and implementation
Drive innovation and infrastructure initiatives to advance the solution in alignment with the latest scientific progress
Stay hands-on in research and development, actively contributing to core algorithms and solving complex technical challenges
Design, develop, and optimize models using machine learning, computer vision, and signal processing techniques
Guide the work of team members, providing technical directions, feedback, and support
Collaborate with cross-functional teams (engineering, product, clinical) during problem definition, solution design and smooth integration into production systems
Ensure robustness and reliability through proper evaluation, validation, and continuous improvement of models
Promote best practices in development, experimentation, and code quality

we are looking for an experienced Senior Hardware Board Design Engineer to join our R&D team in Kfar Saba.
This is a hands-on technical leadership role covering the complete hardware development lifecycle-from system architecture and board design through prototype bring-up, validation, and transfer to production.
What will you do?
Lead electronic board development for power and motion control applications, from initial concept through design release
Define hardware architecture, create schematics, select components, and lead design reviews
Own and manage the BOM, including cost-performance optimization, second sourcing, component substitutions, availability, and lifecycle analysis
Work closely with PCB layout engineers to define stack-up, routing rules, power and signal constraints, EMC/EMI requirements, and DFM considerations
Prepare and support prototype PCB and PCBA manufacturing, including documentation, fabrication files, supplier coordination, and build readiness
Perform board bring-up, laboratory debugging, hardware validation, and functional testing
Define and execute hardware verification and validation plans
Support firmware engineers during hardware and software integration
Incorporate DFM and DFT requirements, test points, and panelization considerations into the design
Support prototype, sample, and pilot production with subcontractors
Support the integration of electronic boards into mechanical housings and complete systems, including connectors, harnesses, and thermal constraints
Prepare and maintain production-ready technical documentation, including schematics, BOMs, and design notes
Mentor junior engineers, lead design reviews, and establish best practices for reliable and manufacturable hardware design