- 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
Required Competencies:
Individual Competencies : decision-making, working with teams, confidence, technical know-how, self-motivation skills
Interpersonal Competencies : high energy levels, communication skills, teamwork, persuasiveness, and handling problems
Motivational Competencies: motivator, taking initiatives, involving others in taking more initiatives, and leading by example.
Managerial Competencies :leadership skills, managing people/teams, quick decision-making, addressing problems, analytical skills, and strategic planning
Integrity : Consistent with words and actions, respond to pressure to act in conflict with their ethics, accept responsibility for mistakes, Doing right things in right way, belief that people are honest, credible, positive intent with track record of desired results
Required Knowledge:
- Solid background in Computer Vision and be comfortable with the latest literature in CNNs, loss-functions and development frameworks like Tensor-flow, Keras and Pytorch
- Well-versed in software engineering and tool-chains used for integrating these ML algorithms into a production pipeline
- Experience in one or more of the following areas related to perception for ADAS / AD/ ARAS: optimization, sensor fusion, probabilistic filters (eg particle and/or Kalman filter), sensor processing, computer vision, point cloud processing, sensor registration, sensor calibration, machine learning, deep learning, SLAM
- Programming in C++ and ROS (Robot Operating System), DDS with efficient, clean code techniques
- Strong knowledge of Automotive Networks (CAN, CANFD, LIN, Automotive Ethernet, etc) & Automotive embedded system development
- Knowledge on one or more of the following standards: STPA, SOTIF, ISO 26262
- Software testing, SIL, HIL, MIL, CAN/IVN, Rapid prototyping
