Lead Edge AI Engineer

· 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

· 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