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обновлено 7 месяцев назад

Algorithm Engineer (Parking/Radar)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Algorithm Engineer (Parking/Radar): Develop fusion and signal processing algorithms combining radar and camera data for object detection, tracking, and classification in parking and low-speed environments with an accent on embedded SoC optimization and sensor calibration. Focus on designing sensor alignment pipelines, integrating perception into surround view systems, and validating algorithms through simulation and vehicle-level testing.

Location: Hybrid in Chennai, India

Company

hirify.global develops advanced safety, electrification, and connectivity solutions to enable sustainable mobility and prevent vehicle accidents worldwide.

What you will do

  • Develop fusion algorithms combining radar and camera data for object detection, tracking, and classification in parking and low-speed environments.
  • Implement signal processing algorithms for radar and camera systems.
  • Design sensor calibration and alignment pipelines for multi-camera and radar setups.
  • Integrate radar-camera perception into 360° surround view systems and infotainment HMI.
  • Optimize algorithm performance for embedded SoCs considering latency, memory, and CPU/GPU utilization.
  • Develop simulation models and test benches to validate fusion algorithms and support SIL/HIL validation and vehicle-level testing.

Requirements

  • Bachelor’s or Master’s degree in Electronics, Electrical, Computer Science, or related field.
  • 5–10 years experience in ADAS, Radar, and Camera perception algorithm development.
  • Strong knowledge of sensor fusion techniques (Kalman Filter, JPDA, Extended KF, Particle Filter).
  • Hands-on experience in Radar signal processing and camera image processing.
  • Proficiency in MATLAB, Simulink, Python, and C/C++ for algorithm development and embedded deployment.
  • Experience with embedded real-time systems (QNX, Linux, or Android Automotive OS).
  • Knowledge of automotive communication protocols (CAN, Ethernet, SOME/IP).
  • Exposure to ADAS calibration tools and sensor validation frameworks.

Culture & Benefits

  • Hybrid and flexible working hours.
  • Higher education opportunities via Udacity, Udemy, Coursera.
  • Life and accident insurance.
  • Sodexo cards for food and beverages.
  • Well-being programs including workshops and networking events.
  • Employee assistance program and access to fitness clubs.
  • Creche facility for working parents.

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