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we are looking for a high-potential, hands-on Controller to join its Finance team.
This role is ideal for a candidate with strong accounting foundations, looking to grow into a key finance position in a global public company environment.
The role combines financial reporting, budget control, and team management, with a strong emphasis on ownership, precision, and the use of advanced AI tools to drive efficiency and scalability.
Responsibilities:
Lead the preparation of quarterly, and annual financial statements
Oversee day-to-day accounting operations, including reconciliations, accruals, and provisions
Take ownership of financial reporting in a Nasdaq-listed company environment
Budget planning, control, and variance analysis
Work closely with external auditors and support audit processes
Ensure compliance with accounting standards, regulations, and internal controls
Support management reports and financial analysis
Drive process improvements and automation, with a strong focus on leveraging AI tools
Manage and oversee the bookkeeping and payroll teams
Reporting to: Finance Director

we are looking for Pre-Sale Engineer to join a fast-growing company operating in the defense, drones and autonomous systems space.
The company develops advanced communication and cybersecurity solutions for mission-critical platforms used by global customers and leading system integrators.
The role combines deep technical understanding with hands-on pre-sale activities, working closely with sales teams and customers on RF-based communication solutions and cybersecurity software.
Responsibilities:
Lead technical aspects of the sales process across Israel, Europe and the US
Work closely with sales teams in customer-facing engagements
Lead technical discussions, presentations, and evaluations with customers and partners
Prepare and respond to RFI/RFPs and develop technical proposals
Translate customer requirements into tailored technical solutions
Analyze and support RF link feasibility based on customer needs
Support the integration and technical aspects of cybersecurity solutions in customer engagements
Support demos, POCs, and technical evaluations
Collaborate with R&D, Product and Customer Success teams
Provide technical support in early deployment stages when needed

In this role, as Embedded Software Team Leader, you will lead a software team taking major part in developing our company's AI framework. This framework is at the heart of the company 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. 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.
Key Responsibilities:
Lead and manage the Embedded Software engineering team, ensuring high performance and productivity. Oversee the design, development, and implementation. 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.

We are looking for a hands-on Planner to take a central role in managing and optimizing the companys supply chain activities.
Responsibilities:
Plan and manage production forecasts, working closely with Sales, R&D, and Production teams
Analyze shortages, material availability, and constraints, providing real-time solutions
Coordinate and synchronize operational processes across departments
Manage global vendors, suppliers, and external manufacturing partners (TK), including production orders, schedules, and inventory
Support NPI processes in collaboration with R&D and engineering
Monitor KPIs and drive optimization and efficiency improvements
Manage inventory and issue purchase orders for raw materials

We are seeking an experienced Embedded Software Engineer to join our R&D team and contribute to the development of next-generation wireless systems.
In this role, you will be involved in the design and development of advanced wireless MESH solutions for products, as well as cybersecurity capabilities for wireless platforms, with a growing focus on integrating capcabilities developed using LLMs into our products.
This is a hands-on position that combines embedded software development, networking, and AI-oriented innovation.
Reports to: SW team leader in Israel.
Responsibilities:
Design and develop advanced wireless MESH communication systems
Develop high-performance embedded software in C/C++ on Linux-based platforms
Integrate software within end-to-end systems (HW + SW + Cyber)
Take part in AI LLM -driven feature development and integration (optimization, automation, data analysis)
Collaborate across teams to deliver robust, real-world deployed solutions

As a Talent Acquisition Specialist, you will have the opportunity to make a real impact on our growth and success. The Talent Acquisition Specialist will be responsible for full cycle recruiting for various roles in the company.
Responsibilities
Manage the hiring process end-to-end, including sourcing, screening, accompanying candidates and interviewing. Creating candidates pipeline: sourcing, working with 3rd party and social media to ensure candidates pipeline. Work closely with hiring managers to understand their goals and needs. Focus on providing a great candidate experience. Managing recruitment projects, such as Linkedin parties, student fairs and referral program.

In this role, you will be a key contributor to the design and implementation of our companys Edge AI software stack for Neural Processing Units (NPUs). You will take part in defining software architecture, implementing performance-critical components, and enabling efficient execution of advanced neural networks under tight power, memory, and latency constraints.
You will work closely with hardware and system architects, software and hardware engineers, influencing both software and hardware decisions. You will design and implement major parts of our company NPU embedded solutions, actively promoting our company AI capabilities to the customers.
What will you do:
Own and design key components of the Edge AI software stack for NPU-based systems.
Optimize inference performance (latency, throughput, memory footprint, power) for edge deployments.
Collaborate on HW-SW co-design, influencing NPU architecture.
Support IP evaluations and silicon bring-up, root-cause complex HW/SW issues, and influence development methodologies.
Mentor junior engineers and contribute to technical best practices.

As the R&D Technical Project Manager you will lead large-scale, multidisciplinary programs developing Neural Network Processor (NPU) and AI IP products.
You will lead cross-functional engineering teams (30+ engineers) across architecture, algorithms, VLSI, embedded software, SW tools, and systems, ensuring seamless execution from Product Requirements Document (PRD) to production-ready delivery for leading SoC makers and OEM customers.
You will also act as the primary interface between customers, product team , and internal R&D teams , balancing technical leadership, strategic execution, and organizational excellence in a global, multi-site environment.
Responsibilities
Be accountable for successful planning and delivery, in quality, on time under budget, of all R&D programs & products in the AI Division, covering architecture, algorithms, hardware IP, embedded software, SW tools, and integration tasks.
Accountable for the definition and deployment of the AI Division Program development processes.
Program Planning and Execution
Own end-to-end planning and delivery for complex AI processor IP programs that include hardware design, embedded SW, and SW development tools.
Build and manage integrated schedules across RTL, verification, firmware, drivers, toolchain, and documentation.
Drive execution across concepts, design, verification, bring-up, and customer release phases.
Manage program POR, program priorities, and change control process.
Track dependencies between IP architecture, firmware readiness, SDK/toolchain availability, and customer enablement deliverables.
Define and manage program KPIs: schedule, quality metrics, and customer satisfaction.
Cross-Functional Leadership
Lead multi-disciplinary engineering teams: HW design, verification, modeling, firmware, SDK/toolchain, and system validation.
Collaborate closely with product management, system architects, and customer engineering to align technical priorities and milestones.
Coordinate with silicon partners and customers to support IP integration and bring-up.
Lead multi-site coordination, fostering collaboration among teams located across various global R&D centers.
Cultivate a high-performing R&D culture emphasizing technical innovation, accountability, and cross-functional synergy.
Software and Toolchain Integration
Ensure alignment between hardware deliverables and the corresponding software development environment.
Oversee development and release of software tools such as SDKs, compilers, profilers, debuggers, simulators, and evaluation platforms.

We are seeking a highly skilled and motivated VLSI Backend Team Leader to join and lead our dynamic team.
As part of this position, you will lead a team of experienced engineers working on parallel projects, and play a crucial role in the design and implementation of complex designs, flow development, and the latest technology node bring-up and integration.
The Backend team leader will be required to do 50% hands on work and 50% managerial work.

We are looking for a Senior Backend / Platform Engineer to design, develop, and maintain complex Backend systems and cloud‑based services.
The role includes ownership of backend components, contribution to system architecture, and leading end‑to‑end features in a distributed, production‑critical environment.
The ideal candidate is a strong hands‑on engineer with experience in server‑side development, cloud platforms, modern data technologies, and practical application of AI capabilities within backend systems.
Key Responsibilities:
Design, develop, and maintain server‑side and backend services in production environments
Lead end‑to‑end feature development, from design through implementation and deployment
Contribute to system and solution architecture, including scalability, performance, and reliability
Develop and support data‑intensive services and pipelines, including database‑driven systems
Debug and resolve complex backend and production issues
Work closely with engineers, architects, DevOps, and product stakeholders
Apply AI‑based techniques to improve automation, quality, efficiency, or observability of backend systems