Job description
We are looking for an outstanding Algorithms engineer to join our R&D team.
As an algorithms engineer, you will be responsible for developing SaverOne algorithms. This includes the design and implementation of variety of algorithms in the field of localization, RF, signal processing and machine learning. In addition, you will coordinate the algorithmic development of a specific area with other functions in the organization and will be the main point of contact for this subject.
Why SaverOne?
SaverOne is a leader in the UnDistracted Driving arena, ensuring that the driver will not be able to use distracting applications while driving. Our In-Vehicle Embedded solution transforms the vehicle into a safe zone, protecting the driver and all passengers. If you’re thrilled with the potential of saving lives while developing – SaverOne is the right place for you.
- This is a great opportunity to work with the most advanced technologies combine HW and SW.
- You’ll be able to bring your own insights and passion into the projects you will work on
- All this, while working on cutting-edge mobile technologies!
What will you do?
As algorithms engineer, you will:
- Leading algorithms activities from feature development to integration
- Research for new innovative solutions
- Focal point for algorithms and signal processing related aspects
- Work in collaboration with all company teams such as SW, HW, QA, and other
Requirements:
- 5+ years of Signal Processing algorithms development – Must
- Strong statistical, mathematical, and problem-solving skills
- Experience and proficiency with using MATLAB for algorithm development, modeling, and simulation.
- Strong programming skills (especially C and Python).
- Experience in developing deep learning and other machine learning algorithm- advantage.
- Experience with localization algorithms and RF systems- advantage.
- Self-motivated, independent, team player, innovative, capable of learning and assimilating innovative technologies.
Industry
- Automotive
Employment Type
Full-time