AI Inference Engineer Intern - Model Pruning
quadric.io•Burlingame, CA
•Onsite
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.
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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Upload and Match Resume
What This Job Offers
Career Level
Intern
