AI Inference Engineer Intern - Model Pruning
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. Note: Our preference is for this internship to be based out of our Burlingame, California office. Candidates should be based in the Bay Area or able to relocate for the internship period and available to work on site.
Requirements
- MS student in CS or related fields.
- Proficiency in Python
- Experience with model pruning and training in PyTorch
- Experience in quantization, and vision model accuracy metrics.
Responsibilities
- Model pruning: Prune the model to speed up inference with re-training to maintain accuracy.
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
