NPU Software Engineer (Internship)

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

• ASPICE
• Misra C

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