Control Algorithms Expert

Description:

Percepto is the leading provider of autonomous inspection and monitoring solutions, harnessing robotics, including our very own market-leading industrial drone-in-a-box solution. Our team is made up of software and hardware engineers, industry experts and professionals who are all passionate about innovation and driven to push the boundaries of what’s possible with software, AI, and hardware. We are a fast growing company with offices in Israel and the U.S. with Fortune 500 clients around the world. Our company growth is not stopping any time soon, and we are looking for great talent like you to join our team

Why join Percepto? We care about the people we work with. We want our team members to grow and develop professionally, to find their job rewarding and intellectually stimulating, and of course - to have fun and feel that they are part of the Percepto family.

• Methodological definition and analysis of system and sub-system behavior for aerial and ground robotic systems
• Design, implement and deploy control algorithms in time and frequency domains
• Implement and deploy complex estimation and signal processing algorithms
• Develop tools, infrastructure and simulations for continuous development of R&D tasks
• Be actively involved in multi-disciplinary (SW, EL, ME) design and integration
• Actively support field cases with full ownership on end-end analysis and resolution
• Be a knowledge base and go-to-person for company-wide technological requirements

• BSc. & MSc. in Aeronautical/Electrical/Mechanical Engineering
• True insight on robotic system behavior with proven development experience
• Proven knowledge and experience with wide range of control & navigation algorithms
• Proficiency with navigation related sensors such as GNSS, radars & cameras
• Extensive theoretical understanding of statistical analysis
• Proficiency with common and complex estimation algorithms
• Experience in writing production level C++ code is a must
• Experience with Python is an advantage
• Excellent communication and teamwork skills
• Fast learner, self motivated, detail oriented