SW Engineer

Regulus is an agile defense-tech startup tackling the most complex challenges in counter-drone and uncrewed defense. With hundreds of combat-proven systems deployed by the IDF and global partners, we are now engineering the next generation of C-UxS (Counter-Uncrewed Systems). We leverage advanced electronic warfare and kinetic measures to detect and neutralize hostile threats. If you want to push technological boundaries while safeguarding Israel and our allies, join us at this pivotal stage of our growth.

This is a unique opportunity to join a company at a pivotal growth stage and help shape its products, culture, and future.

We are seeking a hands-on Software Engineer to join a fast-paced startup team working on embedded UAV systems. In this role, you will develop embedded software in C++ and Python, working close to hardware and Linux-based systems. You will implement and integrate algorithmic components including math-based logic when required into production-ready, mission-critical systems.

This is an opportunity to work on real products, close to the system level, and influence how complex embedded systems are built and deployed.

Key Responsibilities

• Design and implement embedded software in C++ and Python
• Work in a Linux-based embedded environment, close to hardware and sensors
• Integrate and optimize algorithmic components in production systems
• Debug and resolve issues across software, OS, and hardware boundaries
• Collaborate closely with system, hardware, and algorithm teams
• Participate in system integration and field testing
  
  

• Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, or a related technical field
• At least 3 years of hands-on experience in C++ development (embedded or systems-level)
• Good working knowledge of Python
• Experience working in a Linux environment
• Strong software engineering, debugging, and problem-solving skills
• Ability to understand and implement mathematical or algorithmic specifications when required
• Ability to thrive in a fast-paced startup environment
  
  

• Experience with CUDA or GPU-accelerated computing
• Background in computer vision
• Experience with signal processing