Title: Lead Mobile Engineer (Machine Learning / Computer Vision focus)
Posted: July 10, 2015
Company/Institution: Stanford University
Location: Stanford CA
Department: Computer Science / Pediatrics

Description: We are looking for a driven mobile engineer to head up mobile application development in our technology team on the Autism Glass Project.

You should have a strong background in computer science, systems, and mobile application development. You don’t rely on a UI design contractor to get you a PSD of what the app is supposed to look like. You love user interfaces and user experience design. You can design good architectures where it’s necessary, but you’re enough of a hacker to get the job done. Ideally, you’ve also developed some low-level software tools and understand what it means to do heavy computation in C++ on a low-powered mobile device. Finally, you’re tremendously excited about building an application that helps kids with Autism recognize social cues.

Ideal candidates for this position have built several Android applications and at least one iOS app, are familiar with low-level tools like the NDK.

Required experience:
• Mobile development experience on iOS and Android in Objective-C, Java, and using the Android NDK
• Excited to develop on new platforms
• Understanding of networking protocols
• Track record of shipping and scaling products in a non-research setting
• Excellent engineering communication skills
• Comfortable in a Unix environment with common developer tools

Desired:
• GPU Programming experience
• At least one scripting language and a basic understanding of processing large datasets
• Basic knowledge of image processing, machine learning, and computer vision and familiarity with OpenCV

Application Instructions: Contact nhaber at stanford [make the dot] edu