Engineering services and talent solutions for automotive and embedded systems
Pentangle Tech Services operates a dual business: staffing and engineering consulting for hard-to-fill roles in automotive, embedded, and software domains. The tech stack reveals heavy automotive-domain expertise—dSPACE HIL, Vector CANalyzer/CANoe, MATLAB/Simulink—paired with legacy test-framework migration challenges and active adoption of Python, Pytest, and CI/CD tooling. The engineering hiring mix (572 of 721 roles) skews heavily toward senior/mid-level talent, suggesting client demand for experienced contributors on complex vehicle electronics and next-gen networking projects.
Notable leadership hires: Technical Lead, Quality Assurance Lead, SAP Test Lead, React Native Lead
Pentangle Tech Services is a staffing and engineering consulting firm headquartered in Farmington Hills, Michigan, serving mid-market and enterprise automotive, embedded-systems, and software clients. The firm recruits mid to senior-level engineers for specialized roles, offers recruitment process outsourcing (RPO), runs in-house training programs, and delivers project implementation and product-development services across automotive platforms—including infotainment, active safety, OTA, and cybersecurity domains. Active recruitment spans the United States, Mexico, Costa Rica, Canada, and India, with 721 open roles (415 posted in the last 30 days) concentrated in engineering and manufacturing. Core technical projects center on hardware-in-the-loop commissioning, next-generation vehicle networking, secure OS/hypervisor integration for automotive SoCs, and migration of legacy test automation frameworks to Python-based CI/CD pipelines.
Primary tools: dSPACE HIL, Vector CANalyzer/CANoe, MATLAB/Simulink, C/C++, SAP (S/4HANA, EWM, QM), Jira, Jenkins, GitHub. Actively adopting Python, Pytest, AWS, Qt, Teamcenter, and Linux; phasing out Robot Framework and Java.
Hardware-in-the-loop commissioning, next-generation vehicle networking subsystems (Panasonic IFE/IFC), test automation framework modernization (Robot Framework to Python), secure OS/hypervisor integration for automotive SoCs, and legacy component sustainment.
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