RT embedded & AI software engineer

About the Company

We are seeking a RT embedded & AI software engineer to join our Image Processing Group within the ISTAR & EW Division, working on groundbreaking high power laser systems and advanced AI solutions. This position is located in Rehovot.

About the Role

The Image Processing Group is at the forefront of innovation, developing cutting edge algorithms in computer vision and artificial intelligence. Our work supports advanced airborne, ground, and space based intelligence and surveillance systems, pushing the boundaries of what’s possible in defense technology.

Responsibilities

• System Architecture: Take full ownership of the implementation architecture across diverse hardware platforms, ensuring scalability and robustness for high-power laser and imaging systems.
• Algorithm Implementation: Develop and deploy sophisticated tracking and image enhancement algorithms, bridging the gap between classical signal processing and modern Neural Networks (NN).
• Hardware Optimization: Optimize and maximize real-time performance and throughput on heterogeneous hardware platforms (DSPs, SoCs, and AI Accelerators).
• End-to-End Development: Lead the software lifecycle from high-level design to low-level implementation, ensuring seamless integration within multi-disciplinary systems.
• Performance Engineering: Conduct deep-level profiling and optimization to meet stringent latency and power-consumption requirements in mission-critical environments.

Qualifications

• Education: B.Sc. in Mathematics, Computer Science, or Electrical Engineering from a leading academic institution.

Required Skills

• Embedded Expertise: 5+ years of proven experience in Real-Time (RT) Embedded software development and AI implementation.
• Software Mastery: Expert-level proficiency in C/C++ with a focus on Object-Oriented Design (OOD) and architecture.
• System Knowledge: Extensive experience with Linux environments and multi-threaded programming in real-time contexts.
• Leadership & Mindset: Demonstrated ability to lead complex tasks independently while thriving in a collaborative team environment.
• Problem Solving: Exceptional analytical skills with a system-level perspective on complex hardware-software interactions.

Preferred Skills

• Experience in GPU programming (CUDA/OpenCL) and hardware acceleration - advantage.
• Background in optimizing Deep Learning models for edge deployment (quantization, pruning) - advantage.

Equal Opportunity Statement