Sensing and power semiconductor solutions for automotive, industrial, and AI systems
Allegro MicroSystems designs sensor and power ICs for motion control and electrification across automotive, industrial, and data-center applications. The hiring mix—34 engineering roles, 19 manufacturing, 13 sales across nine countries—reflects a capital-intensive, vertically integrated semiconductor operation scaling to serve EV powertrains and AI infrastructure. Active projects span mixed-signal motor-drive ICs, FPGA validation, yield optimization, and sensor portfolio roadmapping, while yield and production reliability remain the primary operational pressure points.
Allegro MicroSystems is a public semiconductor company headquartered in Manchester, NH, with over 30 years in the industry. The company manufactures sensor ICs (position, speed, current, angle) and application-specific power ICs for motion control, electrification, and power management. Primary markets include automotive (xEV powertrains, ADAS), industrial robotics, and AI data centers. The product portfolio spans motor and interface ICs, regulators, lighting drivers, and advanced sensor technology. With 1,001–5,000 employees and operations spanning the United States, India, Philippines, Brazil, Italy, China, Germany, and Japan, Allegro operates an integrated design, manufacturing, and sales organization aligned to secular trends in vehicle electrification and automation.
Allegro uses SAP and Oracle for enterprise systems, Salesforce for CRM, Kinaxis RapidResponse for supply chain, and Cadence, ANSYS, and Spectre for IC design. SystemVerilog, Verilog, and C/C++ are primary design languages; Tableau and Hyperion support analytics; Red Hat Enterprise Linux and VMware run infrastructure.
Allegro manufactures position and speed sensor ICs, current and angle sensor ICs, motor and interface power ICs, regulators, and lighting drivers. Products target automotive powertrains, ADAS systems, industrial robotics, and AI data-center power management.
Allegro MicroSystems'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.