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Cardo Systems, the global market leader in wireless communication systems for motorcycle, outdoor, and ORV helmets, is seeking a System Engineer to join our R&D team. This role is ideal for a system engineer with strong hardware and embedded expertise, coupled with deep knowledge of wireless and audio technologies. * Full-time position in a hybrid model (from the company’s offices at Ra'anana/from home), reporting to the VP R&D. What You’ll Do System Architecture and End-to-End Ownership
* Define and maintain system architecture and technical solutions of the product, responsible for ensuring all components - Mechanical, Electrical, Firmware, Mobile, Backend, Audio, and Operations - work together as one coherent system
* Translate product requirements into clear system and hardware specifications
* Define interfaces between hardware, firmware, RF, audio components, and mobile SW
* Identify gaps, risks, and unclear areas in requirements, and lead POCs and technical investigations to validate solutions and ensure compliance
?System Engineering Leadership
* Holistic System Oversight - Lead system design across multidisciplinary domains, ensuring optimal performance
* Work closely with hardware and RF engineers on component selection and board design, while aligning with software teams on system logic and architecture
* Ensure optimal performance in terms of connectivity, audio quality, robustness, and power consumption
* Drive system integration and lead the root cause analysis of complex system-level failures across all domains
Cross-Team Technical Leadership
* Serve as a technical focal point across hardware, firmware, mobile SW, audio, and product teams
* Coordinate technical activities to ensure system alignment and successful implementation
* Participate in design reviews and contribute to future product architecture

we are the global market leader in the field of wireless communication systems for Powersports & Outdoor, is seeking a dynamic and experienced Program and NPI Engineer to join our operations department. Full-time position in a hybrid model (from companys offices at Raanana/from home), reporting to NPI &ODM team leader. The Program and NPI Engineer will play a pivotal role in bridging the gap between research and development (R&D) and Operations. This position involves managing the transfer of new product lines, overseeing tactical programs, and optimizing cross-company processes, validations, and documentation. This role is crucial in managing the seamless transition of new products from R&D to operations, overseeing tactical programs, and optimizing cross-company processes. Roles & Responsibilities: New Product Introduction (NPI):
* Lead the seamless transfer of new products from R&D to manufacturing operations.
* Manage the NPI process, ensuring on-time and on-budget execution.
* Collaborate with R&D, manufacturing, and supply chain teams to align on NPI goals and timelines.
* Implement best practices for efficient NPI processes, including design reviews, validation, and documentation. Program Management:
* Manage tactical programs, ensuring alignment with organizational goals.
* Collaborate with cross-functional teams to develop and execute program plans.
* Track and report program progress, identifying and mitigating risks.
* Utilize matrix management skills to lead and influence teams without direct authority. Cross-Company Processes:
* Optimize and streamline cross-company processes to enhance efficiency and effectiveness.
* Collaborate with various departments to ensure seamless communication and coordination.
* Implement continuous improvement initiatives to enhance overall operational excellence. Validations and Documentation:
* Oversee product validations and ensure compliance with industry standards.
* Develop and maintain thorough documentation throughout the NPI process.
* Work closely with quality and regulatory teams to ensure products meet required standards.

Rail Vision is a multidisciplinary startup headquartered in Ra'anana. We are the leading provider of obstacle detection, collision avoidance and drive able areas systems in the railway industry around the globe, supporting Autonomous Train Operations. With our unique cognitive sensor fusion technology, based on advanced electro-optic sensors and perception solution, Rail Vision systems detect obstacles on and along the tracks from up to 2 kilometers away, in real-time, and in diverse weather and lighting conditions. We provide systems capable of operating in various environments: On mainline and high-speed rail, in urban environments, and in challenging switchyards. Rail Vision offers a range of complementary features based on collected and analyzed data: Image-based Navigation, GIS Mapping and Predictive Maintenance. We’re looking for a brilliant Deep learning research engineer to join our Algorithms group. What will you do?
* Be a researcher of the core deep learning algorithms and communicate with other researchers.
* Design and implement advanced algorithms to solve complex problems.
* Developing the next generation algorithms including different CNN architectures, CV algorithms and algorithms that utilize Physics in complex environment.

Responsibilities:
Design and maintain scalable data pipelines with Spark Structured Streaming.
Implement Lakehouse architecture with Apache Iceberg.
Develop ETL processes for data transformation.
Ensure data integrity, quality, and governance.
Collaborate with stakeholders and IT teams for seamless solution integration.
Optimize data processing workflows and performance.

We are currently seeking a hard-working Senior System and Hardware TimeSync Architect who flourishes with these types of challenges to join our Time Synchronization Architecture team.

In this role, you will be exposed to the newest technologies and will help define how our GPUs, CPUs, and networking devices use timing to power extraordinary products and applications. Specifically, you will focus on next-generation Radio Access Network (RAN) platforms for 5G and 6G, delivering innovative, scalable, and power-efficient TimeSync solutions. By working across hardware and software stacks, you will support sophisticated AI acceleration and drive industry-wide standardization. If you want to lead the industry and help us define the next generation of data center and telecommunications technology, this is where you belong.

What youll be doing:

Master our Time Synchronization Technology

Define of hardware and system architectures

Research and evaluate algorithms currently used in related applications

Develop complex proof-of-concepts to demonstrate ideas

Architect Time Synchronization hardware tailored to the requirements of next generation RAN workloads, including distributed, centralized, and small cell deployment scenarios.

Collaborate with software architects to define new features and robust SW-HW interfaces for diverse networking use cases.

Drive standardization and interoperability to support broad industry adoption.