Job Description
- We are looking for passionate and motivated System Engineer Intern to participate in the compliance process for embedded machine learning system in automotive products. This effort comprises code/design refactoring, regression testing, and documentation.
During this period, the intern can expect to familiarize with following skills:
Domain
- Edge AI with Convolutional Neural Networks over a Neural Processing Unit
- Processor architecture: ARM/RISC-V symmetric multiprocessing with cache & internal buses
- OS abstractions: GNU/Linux + proprietary RTOS + Bare metal
Processes
Tools
- Development: GCC
- Collaboration: Git + JIRA + Confluence
- Risk/Safety: BlackDuck, Coverity
Requirements:
- MSEE/BSEE in Electrical Engineering, Computer Science or Computer Engineering
- Good communication, collaboration and learning skills
- Strong system development and code review skills in C
- Familiarity with SDLC processes and collaboration tools
- Experience in System-Level Debugging on FPGA platforms or with RTL simulation/co-simulation environments (e.g., using tools like ILA/ChipScope, QuestaSim/ModelSim, or advanced logic analyzers).
- Familiarity with PyTorch or a similar deep learning framework (e.g., TensorFlow) for model-level analysis.
- Commit at least 6 months full time and preferably 9 months
