AI System Design Engineer (Internship)

Job Description As a system design engineer intern for AI compute, you will join a small R&D team focused on shaping the AI compute roadmap for sensor and deeply embedded processor systems. The team works across SW/HW boundaries to explore and prototype efficient AI architectures under real-world constraints. You will work on one or more areas including system modelling and profiling, roofline and bottleneck analysis, rapid prototyping, and system validation. The work is hands-on and exploratory, with an emphasis on understanding trade-offs in performance, power, and area. Requirements Disciplined, quality-minded, and highly driven for excellence Excellent team player and good communication skills MSEE/BSEE in Electrical Engineering or Computer Engineering Basic understanding of computer architecture and memory hierarchies Familiar with Python and C/C++ Exposure to deep learning (e.g., CNNs, Transformers) is a plus Exposure to NPU / GPU / DSP is a plus Familiarity with ARM or RISC-V is a plus Some knowledge of Verilog or SystemVerilog is a plus Exposure to embedded systems is a plus Awareness of low-precision formats (e.g., MX, Q4_K, INT8, FP16) is a plus Commit at least 6 months full time and preferably 9 months Hands-on experience with chip modelling, performance simulation, or AI compute systems will be an advantage. You should be comfortable working with incomplete problems and helping define the solution space, not just implementing a fixed spec.