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We are looking for some exceptional talent to join our Innovation team as an Advanced Technology Researcher.

Your Day to Day
Ownership of complex experimental systems and meeting challenging targets under tight deadlines
Lead and contribute to multidisciplinary research projects across advanced technologies and emerging domains
Design, execute, and analyze experiments, simulations, and proof-of-concept studies
Translate theoretical physics concepts into scalable, real-world applications
Collaborate closely with engineering, product, and cross-functional teams to drive innovation
Stay at the forefront of scientific and technological advancements and identify opportunities for integration
Present research findings clearly to both technical and non-technical stakeholders

we are transforming the delivery industry by turning drone delivery into a real-world, scalable solution. We are looking for a Technical writer to join the company technical documentation team and contribute to the development, documentation, and certification of advanced UAS platforms. This is an opportunity to join a fast-growing company, work alongside a multidisciplinary team, and be part of a dynamic environment in the heart of Tel Aviv. In this role, you will develop and manage technical documentation for advanced unmanned aircraft systems that integrate complex mechanical assemblies, electrical hardware, Embedded software, control systems, production processes, and operational workflows. Working at the intersection of engineering, manufacturing, maintenance, and regulatory compliance, you will translate highly technical information into clear, structured documentation that supports the certification, production, operation, and maintenance of our companys UAS platforms. You will work closely with mechanical, electrical, software, systems, and manufacturing engineers, as well as with production managers, mechanics, flight operations, and regulatory affairs teams, gaining deep exposure to the full product lifecycle. The role is ideal for someone who enjoys diving into complex multidisciplinary systems, understanding how they work in practice, and turning engineering knowledge into precise, usable documentation that supports safe and scalable real-world operations. Main Responsibilities
* Review and interpret technical standards and regulatory requirements.
* Work with aviation regulatory authorities to obtain approvals and authorizations supporting the companys activities.
* Create, edit, and manage technical manuals and documentation across the product lifecycle.
* Revise and refine technical documents in collaboration with engineering, product, manufacturing, and procurement teams.
* Develop a deep understanding of the design, performance, and functionality of hardware and software systems and components.
* Research and analyze technical information to produce clear, accurate, and comprehensive documentation.
* Establish policies and procedures supporting manufacturing, procurement, Quality Assurance, and related operational processes.

We are looking for a NPI Configuration Engineer to join our team. The NPI Configuration Engineer will be responsible for leading new product introduction projects and ensuring a successful transition from development to manufacturing.

Your Day to Day
Own all engineering documentation: drawings, BOMs, work instructions, PNs
Manage engineering change processes (ECOs, MCOs, product revisions) end-to-end
Maintain data integrity in PDM/PLM and ERP systems (Priority, SolidPDM - advantage)
Drive new product introduction (NPI) from design to small-scale and mass production (including DFM/DFA/DFT, vendor support, and configuration control)
Participate in design reviews and support risk mitigation during development
Identify opportunities and lead cost reduction initiatives

We are seeking a skilled Signal Processing Engineer to join our team. In this role, you will be responsible for developing and optimizing signal processing algorithms using C/C++ and CUDA. The ideal candidate has strong technical expertise in high-performance computing and real-time signal processing..
At our company, we're at the forefront of signal processing and AI innovation. Join us in contributing to enhancing various RF domain sensors, including radars, synthetic aperture radars, and signal intelligence sensors.
Key Responsibilities:
Design, develop, and optimize high-performance algorithms using CUDA on GPU architectures.
Implement and maintain software modules for real-time data processing and computation.
Debug, profile, and optimize CUDA code to maximize performance and efficiency.
Develop and implement signal processing algorithms using C/C++
Optimize computational performance using CUDA for GPU acceleration
Work with real-time data processing and high-performance computing environments
Collaborate with cross-functional teams to integrate signal processing solutions into larger systems.

Were looking for a Deep Learning Algorithm Engineer to join a cutting-edge team driving R&D innovation in signal processing and radar-based systems. In this role, you will lead the end-to-end development of deep learning models, from data strategy and model training to deployment in real-world defense applications.
Responsibilities include:
Design and implement state-of-the-art DL algorithms for diverse data formats, including 2D spectral representations, 3D point clouds etc.
Develop scalable pipelines for training, evaluation, data labeling, and preprocessing
Train and optimize models using frameworks like PyTorch/TensorFlow
Conduct literature reviews and stay on top of the latest AI trends
Prepare models for integration and deployment in production environments.

We are looking for an experienced Deep Learning & AI Infrastructure Engineer to join our AI team. In this role, you will develop and deploy advanced deep learning models for signal processing and build the infrastructure and tooling required to scale AI training and inference in both research and production environments.
You will be responsible for the end-to-end lifecycle of AI workloads, including data ingestion and preprocessing pipelines, model training infrastructure, efficient inference systems, and automated experiment tracking.
Key Responsibilities
Design, implement, and optimize deep learning models and pipelines for signal and image analysis.
Build and maintain AI infrastructure components to support model training, versioning, monitoring, and deployment.
Develop scalable data processing pipelines for datasets, including ingestion, labeling, augmentation, and preprocessing at scale.
Implement automated training workflows using tools such as ClearML or other experiment tracking platforms, ensuring reproducibility and model governance.
Collaborate with system engineers to integrate AI models into real-time radar systems and ensure efficient inference performance.
Optimize distributed training and resource utilization.
Run performance tuning, testing, and benchmarking for both training and inference workloads.
Document infrastructure components, training procedures, and model lifecycle processes.

Were looking for a Computer Vision Engineer to join a cutting-edge team driving R&D innovation in radar-based systems. In this role, you will lead the end-to-end development of Computer Vision models, from data strategy and model training to deployment in real-world defense applications.
Key Responsibilities
Algorithm Development: Design and implement robust algorithms for real-time detection, classification, and tracking of objects.
End-to-End Pipeline: Develop CV pipelines that combine classic image processing techniques with state-of-the-art Deep Learning models.
Edge Optimization: Port and optimize models for Edge Deployment.
Data Reliability: Build tools for automated data collection in changing environments.
Skills: Problem Solver, Team Player.

We are looking for a Systems Engineer to support the development, testing, and validation of a multi-sensor system. The role is hands-on and execution-focused, with strong involvement in field tests, lab work, and system-level integration.
Key Responsibilities
Plan and execute lab and field tests for complex sensor-based systems
Work closely with software, algorithm, and hardware teams during development and testing
Support system integration, bring-up, and troubleshooting
Collect, analyze, and validate system data from tests and experiments
Maintain clear system documentation, test procedures, and reports
Manage and support ICDs and system configurations
Participate in customer demonstrations and internal technical reviews.

Were building a unique agent-based AI system for engineering domains - and were looking for a sharp Python Developer who learns fast and wants to build real AI systems in production (not just prototypes).
At our company, we operate at the intersection of advanced signal processing and AI innovation, delivering cutting-edge technological solutions within secure, mission-critical environments.
What Youll Do
Develop backend components for an AI system based on LLMs and AI agents
Implement efficient algorithms and scalable data processing workflows
Collaborate with AI researchers to integrate state-of-the-art models
Optimize performance for real-time, high-throughput systems.

As a Senior Customer Success Manager, you will be responsible for nurturing and growing relationships with core customers worldwide and working with internal teams to ensure the best possible customer experience.

This position requires flexibility with a mix of business, operational, analytical, and support tasks.

Responsibilities:
Manage relationships with key customers through all lifecycle stages (from initial onboarding to existing partnerships) across the world and in multiple time zones.
Build long-term relationships with customers to ensure retention and develop new business opportunities.
Identify customer pain points and work closely with internal teams (business, ops, product, R&D) to prioritize solutions and improve the overall customer experience.
Monitor customer activity and prepare reports/analytics to take a proactive role in reaching and exceeding business KPIs.
Help define and manage various internal processes required to ensure the best possible experience for our customers.

As a Senior Software Engineer, you will not just write code-you will own problem spaces end-to-end. From shaping scope to aligning across functions, youll drive technical excellence and delivery within the team. Youll mentor and coach other engineers, help set the quality bar, and influence the long-term architecture and culture of the engineering organization.

This is a hands-on leadership role where youll be expected to contribute directly, while also enabling others to deliver and grow.

What Youll Do
Own projects end-to-end: from scoping, design, and implementation to delivery and ongoing improvement.

Drive technical alignment and foster collaboration across functions and teams.

Set and maintain the engineering quality bar through best practices, reviews, and continuous improvement.

Mentor, coach, and support the growth of other engineers on the team.

Balance architectural decisions with business needs, scalability, and delivery timelines.

Design and build maintainable, extensible, and performance-minded services / APIs.

Advocate for modern engineering practices.

Were looking for a talented UX Designer to join our team and help make it all a reality.

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You will collaborate with stakeholders, developers, and users to design and synthesize intuitive workflow-centric experiences for the platform. You must have strong problem-solving abilities and a user-centric perspective. The personalities we are looking for are self-driven and energetic with the ability to collaborate across disciplines and geographies. The right candidate must possess a clear passion for discovering and solving customer problems, a commitment to excellence, and an ability to see beyond the immediate challenges, several years into the future.

Responsibilities:

Conceptualize, design, and prototype tools
Design visual assets/iconography for implementation in software.
Work with developers to ensure design integrity during implementation.

As a Product Manager, you will help build the companys product roadmap and vision.

This position requires agility and an open-minded personality, next to a high level of technical and analytical expertise, and the ability to define and build processes and methodologies.

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Responsibilities:

Define parts of the products roadmap in collaboration with key cross-functional stakeholders.
Actively contributed to the strategy and company culture as a key member of the product team.

We are looking for a Product Line Manager (PLM) to lead key software products in our companys portfolio, including network planning tools, management systems, and intelligent automation capabilities.
This role sits at the intersection of network technology, software platforms, and customer needs. The PLM will define product strategy, drive roadmap execution, and work closely with R&D, sales, and customers worldwide to shape the next generation of our company software solutions.
You will play a key role in evolving platforms that support capabilities such as:
Network design and planning tools
Intelligent network management systems
Licensing and feature management frameworks
Analytics, automation and operational insights
Responsibilities
Product Strategy & Ownership
Own the product lifecycle for key our company software solutions - from concept to market success
Define product vision, roadmap and business priorities aligned with market needs
Translate customer and operator requirements into clear product specifications and MRDs
Define differentiated product positioning versus competition
Cross-Functional Leadership
Work closely with R&D to define features, architecture direction and development priorities
Act as the bridge between engineering, sales, and customers
Drive product decisions across planning, design, deployment, and operational use cases
Customer & Market Engagement
Engage directly with global customers, operators and partners to understand real-world network challenges
Support sales teams with technical product positioning and solution guidance
Analyze market trends in wireless transport software, automation, and network operations
Product Delivery
Guide product development through the entire lifecycle including releases, launches, and roadmap evolution
Define product KPIs and track adoption, usage, and customer feedback
Ensure solutions deliver measurable operational value for network operators.