About the role
RGBSI, a multinational corporation with its headquarters in Bangalore, India, has a global presence with branches in the USA, Canada, and Germany. We provide comprehensive services in various industries, including Engineering, Quality, Workforce Management, Compliance, and Software, collaborating with esteemed companies worldwide.
Position description:
Lead the Design and Development team of ARAS to implement ARAS system into ICE and EV 2 Wheelers
Lead the ARAS team to Design, prototype, engineer, test, release and launch cutting-edge perception software stacks for ARAS systems in 2W
Lead the ARAS team to Design, prototype, engineer, test, release and launch cutting-edge planning & control subsystems for ARAS in 2W
Lead the ARAS team to Design and Development of implementable Camera / RADAR based features enhancing the vehicle intelligence
Support with existing & upcoming projects with control system software used in ARAS subsystems
Primary Responsibilities:
Lead the ARAS team for Research, design, implement, optimize and deploy deep learning models that advance the state of the art in perception and control for ARAS & core subsystem
Develop state-of-the-art algorithms in one or all of the following areas: deep learning (convolutional neural networks-CNN), object detection/classification, tracking, multi-task learning
Design the algorithms from prototype to production - including training on large scale datasets and deploying on a real-time production vehicle solution
Lead the ARAS team to Design and Develop Automotive Embedded system software, Model based development, software development as per V cycle using Matlab-Simulink, Embedded C,QNX, ROS, PYTHON, RTOS,
Machine Learning, Artificial Intelligence, Deep Learning, Stack development, Android programming meeting HARA and Functional Safety as per ISO26262
Lead the ARAS team to Develop the sensor fusion and perception software architecture for Level 2/3 autonomous driving systems/ or equivalent ARAS system for 2 wheelers
Develop concept system design using Hardware architecture and software architecture for a given ARAS feature Support with Vehicle Diagnostics and Prognostics using data analytics
Perform multi-sensor fusion, 3D-reconstruction and multi-object tracking
Develop, implement and utilize specific metrics to quantify the performance of object detection and classification algorithms
Develop and implement Multi-Target Tracking and Data Association algorithms using EKFs and Particle Filters
Test algorithms in simulation, in vehicle in controlled environment, and ultimately in vehicles in the field.
Required Certification/s:
DFMEA, DFSS, Data Analyst
Completed one project on ADAS systems in vehicle for Automotive OEM
Functional Safety ISO26262 certification is mandatory
Hazard Analysis and Risk Assessment - HARA implemented on one Practical Project
We offer attractive and competitive compensation and benefits packages, including health insurance, paid time off, holidays, and more. If you take pride in your work and are dedicated to personal and professional growth, we encourage you to connect with us. Visit our website at to explore further.