DevJobs

C++ Software Engineer

Overview
Skills
  • C++ C++ ꞏ 3y
  • Python Python
  • Computer vision
  • CUDA
  • Geospatial data processing
  • GNSS
  • GPU-accelerated computing
  • Signal processing
About Regulus

Regulus is a defense-tech startup, we are developing advanced solutions that protect critical systems against operational threats. Our systems are field-proven, deployed by the IDF and global partners, and have safeguarded lives and strategic assets.

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

About The Role

We are seeking a highly skilled C++ Software Engineer to join our fast-paced startup team. In this role you will join a high-performance, robust C++ software development team, with opportunities to contribute in Python for tooling, prototyping, and data processing. You will work on algorithmic challenges spanning GNSS, signal processing, computer vision, and geospatial data.

Responsibilities

  • Design and implement high-performance C++ software, with emphasis on real-time, efficient, and reliable code.
  • Develop and optimize algorithms related to GNSS, signal processing and geospatial analysis.
  • Use Python for prototyping, automation, and analysis tools.
  • Collaborate with cross-functional teams including hardware, research, and product.

Requirements

Requirements

  • Bachelor’s degree in Computer Science, Mathematics, Electrical Engineering or a related technical field.
  • At least 3 years of hands-on experience in C++ development (core requirement), including writing optimized, clean, and maintainable code.
  • Solid working knowledge of Python.
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.
  • Ability to excel in a fast-paced startup environment.

Preferred Qualifications (Nice To Have)

  • Experience with CUDA or GPU-accelerated computing.
  • Familiarity with GNSS technologies and domain concepts.
  • Experience in geospatial data processing and algorithms.
  • Background in computer vision.
  • Experience with signal processing.
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