Plato Systems is on a mission to supercharge manufacturing operations by using spatial activity data and AI to improve capacity, productivity, and safety. Spun out of Stanford in 2019, we have built an intelligent analytics platform fueled by our revolutionary device which uses machine perception and sensor fusion to provide an operations digital twin that combines factory operator activity with machine data for the first time. We're funded by NEA, and have a strong team from industry (Uber, Apple, Amazon, Google) and academia (Stanford). You can find out more about us by visiting our website ( and our Notion page (
Our mission and team expertise spans beyond software to advanced sensor systems, algorithms, embedded systems, signal processing, and machine learning. We are building and deploying edge software and cloud services for real-time customer facing products as well as internal big data tools. As a solutions engineer, you sit at the intersection of technology and business, working collaboratively with different teams to transform data generated by our fleet of edge devices into data products that are consumable by our end customers.
A successful candidate is someone with a strong foundation in software development (including proficiency in Python), business acumen, autonomy, and great communication skills. They must be able to translate complex technical concepts into business-friendly language and effectively communicate with both technical and non-technical stakeholders. An analytics background is a plus (such as physics, statistics, or other engineering). They must be good with software and have an interest and/or experience in data science.
Responsibilities
Qualifications
Preferred Qualifications
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