Job description:
We are looking for an experienced AI/ML engineer passionate about deploying AI inference and end
to end enablement, AI framework integration, model accuracy, and performance analysis and tuning.
You might be an ideal candidate if you are seeking to develop high quality, innovative, and scalable
software that enables state of the art AI inference models to run efficiently and accurately on the
BST Intelligence processors.
Responsibilities:
• Contributing to deep learning infrastructure, data pipelines, tools and workflows that lay the
foundation for building AI at scale.
• Writing software to deploy AI models and pipelines in real time applications (inference).
• Apply low precision inference, quantization, and compression of DNNs.
• Continuously improve inference latency, accuracy and power consumption of DNNs.
• Stay up to date with the latest research and innovations in deep learning, implement and
experiment with new ideas
Qualifications:
• You are graduating with a MS, or Ph.D. degree in Computer Science, Computer Engineering,
Applied Math, or related field.
• You can work independently, define project goals and scope, and lead your own development
effort.
• Strong C++/ C or Python programming and software design skills, including debugging,
performance analysis, and test design.
• Strong expertise on one of these directions:
– deep learning quantization
– NN compiler (TVM, MLIR, GLOW, LLVM) experience
– NN model pruning
– Cadence DSP programming
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