Data Science Intern - Model Optimization
About The Position
Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code. You will join the data science team for an internship focused on model optimization for Quadric's custom GPNPU architecture. Working alongside a senior data scientist mentor, you will contribute to quantization library and/or numerical accuracy testing/debugging infrastructure.
Requirements
- Currently pursuing or recently graduated with a B.S., M.S., or Ph.D. in CS, EE, Applied Math, or a related field.
- Solid Python skills and comfort with PyTorch (or TensorFlow), NumPy, and basic data-viz tools (Matplotlib/Plotly).
- Coursework or project experience in machine learning; familiarity with CNNs and/or Transformers.
- Curiosity about quantization, numerical representation, fixed-point arithmetic, or low-level performance.
- Ability to read a research paper and discuss the core ideas.
Nice To Haves
- Prior exposure to quantization, model compression, or any of PyTorch FX/PTQ/QAT, TF-Lite, ONNX-Runtime, TVM, or MLIR Quant.
- Any hands-on experience with embedded systems, DSPs, GPUs, or other accelerators.
Responsibilities
- Run and contribute to new quantization workflows on vision and language models under mentor guidance.
- Build calibration datasets and tooling to visualize per-layer error and distribution statistics for debugging.
- Contribute to numerical accuracy testing infrastructure, numerical validation debug tooling of neural networks, and quantization library.
Benefits
- Hands-on experience working alongside industry experts in AI and semiconductor technology
- Access to mentorship
- Meaningful project ownership from day one
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What This Job Offers
Career Level
Intern
