Our Client  is seeking a highly motivated Manufacturing Software Engineer to develop and deploy mission-critical diagnostic, testing, and quality software for current and next-generation .

In this role, you’ll build software that connects in-vehicle systems with modern manufacturing operations. You’ll work across the stack—from native applications on Android Automotive OS (AAOS) in the infotainment ecosystem to enterprise cloud services—to help ensure vehicle quality as vehicles move through  assembly plants around the world.

Responsibilities

Manufacturing Software & Vehicle Quality

• Design, develop, test, and deploy robust full-stack applications that support end-of-line vehicle quality and diagnostic verification across  global assembly plants.
• Develop, optimize, and maintain vehicle-level applications and background services on Android Automotive OS using Java and Kotlin, tailored to the Ford infotainment ecosystem.
• Work directly with plant engineers, quality teams, and assembly operations to understand plant-floor challenges and turn them into practical, high-impact software solutions.
• Collaborate with stakeholders across vehicle software architecture, connected vehicle platforms, cloud engineering, and manufacturing IT.
• Own feature delivery from requirements and technical specifications through implementation, testing, and validation in vehicles and simulated plant environments.
• Demonstrate working software, enhancements, and prototypes to technical peers, plant leadership, and business stakeholders.

Engineering Quality & Delivery

• Apply modern software engineering practices, including automated unit and instrumentation testing, code coverage, static analysis, and CI/CD.
• Help ensure software deployments are reliable and suitable for quality-critical manufacturing operations.
• Work in a fast-paced Agile environment, contributing to iterative development and continuous improvement.
• Use work item tracking, defect management, and test lifecycle tools—including Jira and Xray—to support execution, test plans, and requirements traceability.
• Create clear requirements and technical documentation using collaboration tools such as Confluence.
• Communicate technical concepts, delivery progress, and software demonstrations clearly to both technical and non-technical audiences.

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