Just-in-time, in-sequence modular assembly for automotive OEMs
Avancez assembles powertrain, chassis and tire-and-wheel modules delivered in vehicle build sequence, backed by a plant-floor stack of Allen-Bradley Studio 5000, Siemens Step 7, Fanuc robotics and HMI alongside QAD and SAP ERP. Hiring is accelerating and overwhelmingly manufacturing-focused, while job posts center on equipment uptime, OEE/FTTQ gains and automation, which points to a plant scaling throughput under tight quality and cost pressure.
Avancez LLC is a privately held automotive supplier headquartered in Clarkston, Michigan, founded in 2012, with 201–500 employees. The company assembles powertrain, chassis, and tire and wheel modules, sequenced and timed to its customers' vehicle build schedules. It also provides ordering, containerization and logistics services as part of managing customers' global supply chain needs. Operations follow automotive quality frameworks including IATF 16949, APQP, FMEA, SPC and 8D. Hiring activity spans the United States, Canada and Peru.
Avancez runs QAD and SAP for ERP, SQL Server, VMware ESXi/vCenter, and plant controls on Allen-Bradley Studio 5000, Siemens Step 7, Fanuc robots and HMIs, with Dayforce for HR and AutoCAD for design.
Yes. Hiring is accelerating and dominated by manufacturing roles at junior and mid levels, with supporting engineering, HR and operations positions across the United States, Canada and Peru.
Job posts point to OEE and first-time-through quality improvement, equipment uptime audits, automation and robotics implementation, error proofing, Kata-based continuous improvement and new supply chain system features.
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Avancez LLC'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.