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

• 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