Lead Edge AI Engineer

Job Requirements

·         Work in a team of self-motivated engineers and equally contribute for success of the project

·         Take ownership of assigned responsibilities, flexible with work timings, attend and contribute to technical                discussions.

·         Read and understand hardware block diagram & schematics/data sheets/software design notes

·         Design and Develop Edge AI applications for the Embedded System

·         Identify the right AI models for specific use cases, Port and optimize AI models for real-time performance    

         on resource-constrained embedded systems

·         Comply with Performance and Quality standards for the project

·         Conduct self-review and peer review of work in the project

·         Interact with internal and external stake holders

·         Use optimum design patterns for AI usage

Work Experience

·         Proficiency in C/C++ and python programming

·         Hands-on experience in deploying AI models on embedded platforms.

·         Experience working with MCU, bare-metal, RTOS and Edge AI/ML applications

·         Experience working with multi-core, multi-threaded applications, IPC and task scheduling

·         Strong knowledge in board bring-up and interfaces such as OSPI, GPIO, UART, SRAM, SDRAM etc.

·         Good debugging and problem-solving skills.

·         Experience in various profiling tools, and proficiency in identifying deviations from expected behaviour and             finding their root causes

·         Ability to use Hardware test equipment: Joulescope, oscilloscope, logic analyzer and JTAG

·         Understanding of system constraints like memory, compute, and power on edge devices.

·         Good communication skills for clearly communicating ideas and concepts to team/customer