Automotive embedded software and industrial IT engineering services
Pi Square Technologies delivers automotive embedded engineering alongside enterprise IT and manufacturing systems work. The stack spans vehicle connectivity (BLE, UWB, NFC, SysML, C++) and shop-floor automation (Ignition, Kepware, GE Proficy, Tulip, Rockwell), while job-post projects point to cGMP-regulated batch-record digitization and serialization, a manufacturing-compliance practice beyond pure automotive. Hiring is accelerating, engineering-led, and split between the US and India.
Pi Square Technologies is a privately held engineering and IT services firm founded in 2015 and headquartered in Farmington Hills, Michigan. It provides embedded software development, training and consulting to automotive OEMs and Tier 1 suppliers, covering areas such as infotainment, connected vehicles, OTA updates, ADAS and vehicle cybersecurity. A separate digital transformation division offers enterprise software, Microsoft D365, SAP and AI/ML services. The company employs 201–500 people, with delivery and development centers in Hyderabad and Bangalore and offices in the UK and Germany.
Its stack includes C++, Python, MATLAB and SysML for embedded work, React and Angular for web, Jenkins, Kubernetes, Artifactory and Nexus for delivery, plus SAP, IFS, Ignition, Kepware and GE Proficy for industrial systems.
Pi Square Technologies is headquartered in Farmington Hills, Michigan, with delivery and development centers in Hyderabad and Bangalore, India, and offices in the UK and Germany.
Yes. Hiring is accelerating and weighted toward engineering, with additional HR and manufacturing roles, mostly at mid and senior levels across the United States and India.
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Pi Square Technologies's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.