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In this role, as Embedded Software Team Leader, you will lead a software team taking major part in developing AI framework. This framework 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. 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.

As a Graph Compiler Software Manager, you will lead the development of next-generation graph compiler technology. This compiler is a cornerstone of AI software offering, empowering customers to optimize, map, and execute complex neural networks across architectures with extraordinary efficiency. You will lead a group of talented engineers and team leaders working across domains such as compiler optimizations, graph-level transformations, operator mapping, scheduling, and code generation. We are seeking a visionary and technically strong leader with passion for excellence and impact in one of the most fascinating areas of AI and deep learning.

Key Responsibilities:

Lead the design and implementation of innovative graph compilation flows for AI workloads, from high-level optimizations to hardware-specific backends. Build and guide a strong, innovative, and results-driven compiler team that thrives on solving complex technical challenges. Collaborate with hardware architecture, VLSI, and software framework teams worldwide to ensure seamless integration and maximum performance. Lead the end-to-end delivery of graph compiler components while meeting aggressive KPIs. Establish and execute group planning processes to ensure timely and high-quality delivery. Provide technical and managerial guidance to team leaders and engineers. Define and drive compiler optimization strategies for AI and deep learning workloads.

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.

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

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.