The Brainchip FAE primary role is to work with the Sales and Engineering members, to support customers and help develop commercial applications for BrainChip’s Akida Neuromorphic System-on-Chip (NSoC). These applications are targeted for computer vision (classification, object detection), audio processing (keyword spotting), sensor fusion, and anomaly detection problems. You must be able to communicate effectively at the engineering level with customers, understand their objectives and needs in order to develop and articulate a differentiated value proposition, as well as a BrainChip technical solutions appropriate to the customer's requirements. 

Responsibilities

·       B.S. in Computer Science or equivalent

·       2-5+ years of machine learning and deep learning experience using Python

·       Strong experience in TensorFlow (especially using TF.keras API)

·       Firsthand experience with object classification, object detection, face recognition, keyword spotting

·       Experience with different deep learning frameworks (e.g. PyTorch, Caffe…)

·       Knowledge of deep learning quantization methods

·       Experience with Git version control system 

·       Experience with Scrum / Agile software development (e.g. Jira)

·       M.S. in Computer Science, Computer Engineering or equivalent (Desired)

·       US DOD experience and US citizenship (preferred)

·       M.S. in Computer Science, Computer Engineering or equivalent (Desired)