Indoor Location Engineer (Embedded System)

Shanghai, China /
Engineering /
Full Time
Instacart recently acquired Caper AI to help retailers unify the in-store and online shopping experience for customers no matter how they choose to shop. Caper’s cutting-edge, AI-powered shopping carts and automated checkout counters bring together online and offline shopping to create a completely new in-store experience for customers.
In addition to acquiring Caper AI’s technology, we’re delighted to welcome the Caper team to the Instacart family. The global Caper team is based primarily in New York City and Shanghai, China, and will bring new hardware expertise to Instacart’s already deep product and technology team. Together, we’re excited to create new ways for retailers to solve for the ever-changing needs of their businesses and customers.
About Caper:
Caper builds smart shopping carts powered by deep learning and computer vision to enable a seamless grab-and-go retail experience. We differ from other emerging cashierless technologies because we are the scalable solution. Caper’s autonomous checkout technology is plug and play, meaning it requires no in-store renovation, no operational overhaul, no heavy computations or endless image labeling. Any retailer can buy the carts and their entire store is upgraded with cashierless capabilities. Caper costs less than 1% of other cashierless competitor’s infrastructure. We are already live in-stores and our customers love us!
As a part of the Caper team, you’ll be a part of a culture that cares about its people and the future we’re shaping together. At Caper, we may all come from different backgrounds, but we all share one common vision - to fundamentally disrupt the retail industry.

You MUST have:

    • 3-5 years of industrial experience in Indoor Localization, Mapping Navigation, Embedded Systems, etc. 
    • BA in Computer Science, Electrical EngineeringAdvanced proficiency in IMU based localization techniques.
    • Understand how to calibrate and complement IMUs. 
    • Familiarity with common indoor localization solutions based on different technologies such as WIFI, Bluetooth, Infrared, etc. 
    • Deep understanding of filters such as Kalman filter.
    • Familiarity with embedded system programming. 
    • Ability to build a solution from scratch.

You may have

    • Familiarity with AOSP (Android Open Source Project) platform.

You are ready to:

    • Contribute to Caper’s indoor localization system to provide users with a better in-store experience. 
    • Build something novel to revolutionize the indoor localization industry in the retail space. 
    • Conquer the World!