Embedded Software Engineer

A market-leading DeepTech hardware and perception company pioneering advanced LiDAR sensing solutions and 3D perception platforms for automotive, smart mobility, defense & HLS, intelligent transportation systems, robotics, and airborne platforms.

Operating with a world-class multidisciplinary engineering team, the firm bridges deep physical-layer sensing with low-level systems engineering.

The office is located in Central Israel, operating on a hybrid model with one day working from home.

Role Description-

• Serving as an Embedded Computer Vision Software Engineer, taking end-to-end ownership of the design, implementation, and optimization of real-time embedded software for edge vision modules.

• Bridging the gap between algorithm research and target hardware, analyzing architectural constraints, memory bandwidth, and execution latency to optimize pipelines on embedded processors.

• Implementing low-level, high-throughput perception pipelines in C/C++ running directly on edge devices, SoC architectures, and microcontrollers.

• Integrating advanced AI-assisted engineering tools and modern workflows to accelerate code generation, profiling, and quality validation.

• Conducting deep-level debugging, hardware-software integration, profiling, and root-cause failure analysis across embedded hardware platforms.

• Collaborating closely with Algorithm Developers, System Architects, and Hardware Engineers to deploy robust perception capabilities into safety-critical, production-grade systems.

Requirements-

• B.Sc. in Computer Science, Software Engineering, Electrical Engineering, or a related technical discipline – Mandatory (M.Sc. – Advantage)

• 5+ years of hands-on experience in Embedded Software Development in C and C++ – Mandatory

• Exceptional low-level debugging, memory profiling, and hardware-software integration capabilities – Mandatory

• Demonstrated hands-on proficiency with modern AI tooling and AI-assisted software development workflows – Mandatory

• Proven background in Computer Vision (CV), image processing, or edge machine learning deployment – Significant Advantage

• Practical familiarity with embedded processors, RTOS / embedded Linux environments, and hardware accelerators (e.g., DSPs, GPUs, or NPUs) – Significant Advantage

• Strong team player with high agency, structured analytical thinking, and a drive to solve complex low-level engineering challenges – Mandatory