Vision-based ADAS Algorithm Engineer (Senior/Junior)

Vision-based ADAS Algorithm Engineer (Senior/Junior)

Seoul

Role & Responsibilities

  • Development and analysis of algorithms to support Advanced Driver-Assist Technologies
  • Develop functional algorithms that provide outstanding behavior for features like Adaptive Cruise Control, Automatic Emergency Braking, Cross-Traffic Alert, Active Park Assist, and 360 Camera Systems
  • Application of controls and system identification methods such as Adaptive Control, and Machine Learning
  • Application of vision-based identification and control methods
  • Signal processing and sensor fusion, including real-time data processing
  • Algorithm development, verification, and validation in the simulation environment
  • Lead the development of algorithm specifications (requirement elicitation), FMEAs, robustness disciplines, and design validation plans
  • Understand sensor system interactions to identify possible improvements and trade-offs
  • Identify changes needed to improve performance and meet objectives

Requirements

Must

  • Masters / Bachelor of Science in Electrical Engineering, Computer Science or related field, with emphasis on control systems or robotics
  • 2+ years of experience (working or academic) programming in C++ and/or Python (ideally both)
  • 2+ year of experience (working or academic) in the development/implementation of control and estimation, signal processing, machine learning, or computer vision techniques
  • 1+ year of experience (working or academic) developing embedded control software
  • Good problem-solving skills and innovative thinking
  • Production algorithm development experience
  • Experience in robotics or ADAS
  • Excellent written and oral communications
  • Ability to work well with others
  • Experience with Git, Github, Jira, Agile, Enterprise Architect (UML, SysML), and MISRA
  • Experience unit test with GTEST
  • Knowledge of automotive standard development processes such as Automotive SPICE and ISO2626 Functional Safety

Preferred

  • Experience with object tracking, Kalman filtering, and path planning

Application

For application, please submit documents below by clicking "Apply Here" button below or sending us an email to recruiting@stradvision.com.

Required

    1. CV
    2. Thesis (for those who have Master's degree or above.)

Optional

    Cover Letter/Project details/ Other theses.