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
