Automotive Architect -  Situational Awareness & Perception, Image AI Robotics, Imaging & Rendering

Roles and Responsibilities: 

Experience System Architecture Design, Development planning specifically into automotive domain

A minimum of 13 years of experience in developing embedded software preferably in middleware with  Service Oriented Architecture (SOA)

Proficient in software development using C or C++ or Java languages. OpenCV

Linux(AGL/Embedded Linux based TCU/Posix based Adaptive Autosar for ADAS)

Able to translate signal-based design into service-oriented design.

Knowledge of communication protocols like CAN and Ethernet

Knowledge of tools such as: Github, PreeVision, Davinci Configurator, Davinci Adaptive,

build systems like C-make or Bazel build and Conon

Preferred Qualifications:

Master’s degree in computer science, Computer Engineering, Electrical Engineering, or related degree field

Experience in working on ADAS/AD

Experience NVIDIA Deep stream or Drive SDK

Experience in working in fast paced environments.

Bus Driver: CAN, ARINC, MOST, LIN, FlexRay, Automotive Ethernet, LVDS, SPI, I2C

Connectivity Device Driver Protocol Stack: Bluetooth, BLE, Wifi, USB, GPS

Network Protocol: TCP/IP , UDS, SOME/IP, DO/IP, OTA, LAN, WAN, SMB, NFS, SNMP

Knowledge on AI,  Image AI Robotics, Imaging & Rendering

Expert in HiL set-up - Protocols for Flashing the ECU, Flashing the SW on to ECU, Connecting ECU to HIL,