- To develop and implement AI and ML algorithms for R&D intensive Automotive Control units- Design and optimize AI/ML models for deployment on resource-constrained embedded platforms,considering factors such as memory, processing power, and energy efficiency.- Develop and implement ML algorithms on embedded systems, used in identifying, tracking and classifying objects.- Design and optimize AI/ML models for deployment on resource-constrained embedded platforms,considering factors such as memory, processing power, and energy efficiency.- Perform algorithm evaluation and optimization to ensure efficient and accurate real-time performance of machine vision systems- Mentor junior team members, providing guidance and technical expertise to foster their professional growth. - Following Software versioning and release process. - Able to develop CAN Simulation/dbc files from CAN Matrix, Knowledge in using Vector CAN tools (like CANalyzer, CANoe), ETAS-INCA,etcWork on \'breakthrough\' digital-and-analytics projects |Be a part of the growth journeys of an exciting EV space- BTech/MTech- 6-12 years of overall experience- Embedded software design and development, Embedded Linux, Embedded C/C++,- Knowledge about CAN Simulation/dbc files from CAN Matrix, Knowledge in using Vector CAN tools (like CANalyzer, CANoe), ETAS-INCA,etc.- Proficiency in working with popular embedded platforms, such as ARM-based systems-on-chip (SoCs) and microcontrollers.- Leading Automotive giant with focus on the EV segment- Working in an exciting segment - EV- Being a key pillar for the AI/ML team, working directly with senior executives- Working on cutting edge AI/ML projects
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