Embedded Software Engineer

A high-tech startup developing AI Sensor Fusion platforms and real-time Deep Learning algorithms for multi-sensor environments (Radar, LiDAR, Camera, and advanced Semiconductor components).

The company’s technology enables real-time edge processing and AI-driven spatial intelligence, serving commercial and defense customers worldwide.

Financially stable with multi-year runway and multi-million dollar revenues, the company operates its core R&D engine with around 20 professionals in Israel.

Located in the Sharon / Herzliya area (walking distance from the train station), operating on a hybrid work model with 1 day WFH per week.

Role Description-

• Joining a skilled 5-person Embedded Software team, reporting directly to the Embedded Team Lead.

• Owning the end-to-end development of Real-Time Embedded Systems and Firmware for Radar and Sensor-based products, from architecture design to Production.

• Writing high-performance, low-level C++ code on ARM platforms, developing drivers, peripherals, and board-level communication protocols.

• Collaborating closely with the Algorithmics squad to integrate and optimize Deep Learning / Computer Vision algorithms onto resource-constrained Edge devices.

• Operating within real-time operating systems (FreeRTOS) and Linux environments, solving memory-sensitive and latency-critical engineering challenges.

Requirements-

• B.Sc. in Software Engineering, Electrical Engineering, Computer Science, or a related scientific discipline – Mandatory

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

• Deep experience with ARM architecture, system peripherals (SPI, UART, I2C), and low-level hardware communication protocols – Mandatory

• Proven hands-on experience developing embedded software in Real-Time environments (RTOS / FreeRTOS) – Mandatory

• Hands-on development experience in Linux environments – Mandatory

• Experience with memory-constrained and high-performance system programming – Mandatory

• Knowledge of networking and low-level communication protocols – Mandatory

• Proactive, self-managed approach with strong problem-solving and communication skills – Mandatory

• Background in Radar, LiDAR, Signal Processing, or Sensor Fusion systems – Advantage