We are building cutting-edge systems to support distributed, real-time GPU computing, a rapidly growing IOT platform, and analytics aggregated across dozens of input modalities. To keep these systems running with high reliability and low latency requires hard work from talented engineers, and we’re looking for some more to join the team! If you like to build scalable systems, automated data pipelines, and to constantly iterate, improve, and make a difference, this is the place for you.
1-2 years experience in an infrastructure role (intern or full time)
Bachelors Degree or higher in CS / EE / related field
Great understanding of databases, networking, distributed systems, operating systems, data structures, algorithms, and software engineering practices
Knowledge of big data systems (Hadoop, MR, Spark) a plus
Knowledge of containerization (Docker) and orchestration platforms (Swarm, Kubernetes) a plus
Founded in 2015, we set out to build Computer Vision applications for Retail and CPGs to solve some of their biggest, oldest multi-billion dollar problems. We graduated Y Combinator’s Winter 2016 batch and have since grown considerably and assembled an exceptional roster of employees, investors, advisors and partners. Our team consists of Stanford PhDs and Masters students with backgrounds from Apple, Google, and Facebook, specializing in state-of-the-art machine learning and computer vision – the same technology used by Amazon Go, Google’s self-driving cars, and other applications.