Engineering staffing and managed services for hardware, firmware, and AI systems
OSI Engineering supplies specialized technical teams to hardware and automotive companies across embedded systems, firmware, and emerging AI—with 47 engineers in active hiring and a project mix heavy on test automation, vehicle development, and reliability validation. The stack spans low-level embedded C and FPGA work through cloud and mobile (iOS, Android), and early RAG adoption signals internal AI capability-building. Pain points cluster around test station complexity, field failure analysis, and AI validation—reflective of customers building mission-critical devices.
Notable leadership hires: Sales Director
OSI Engineering provides workforce solutions to technology companies, covering managed services, recruitment outsourcing, and flexible staffing from product conception through post-launch support. The company operates across embedded systems, firmware, automotive, robotics, and cloud domains. Founded in 2010 and headquartered in Campbell, CA, OSI employs 201–500 people and is actively hiring in the United States and Peru, with engineering representing the majority of open roles. The company also runs STEM education initiatives targeting underserved communities.
Embedded C, Python, C++, FPGA, Embedded Linux, GPIO, I2C, USB protocols; iOS, Android, macOS; Tableau for analytics; Jira, Confluence, Wrike for collaboration; Bullhorn, ZoomInfo, LinkedIn Sales Navigator for recruiting operations.
Test station development, field device testing, autonomous vehicle programs, reliability validation, AI-powered enterprise applications, digital manufacturing solutions, and watch system lifecycle support.
OSI Engineering'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.