Top Hybrid Software Engineer Jobs in Detroit, MI

The role involves developing Digital Twin applications, delivering features end-to-end, writing maintainable code, integrating 3D modules, and ensuring product reliability through best practices in software development.

The Senior Full Stack Developer will design and deploy prototypes for software experiences across mobile and embedded platforms, collaborating with product managers and designers to inform product roadmaps and customer needs.

Develop and integrate communication protocols, conduct performance testing, and lead projects in automotive software design and system engineering.

Oversee software engineering projects, lead large-scale distributed data processing systems, mentor junior staff, and drive project success.

The Solution Architect will lead deployments of the Dynatrace platform, address performance issues, and contribute to solution architecture and implementation for clients, while collaborating with engineering teams.

The Software Engineering Co-Op will learn and develop skills in software development, technical interfacing, and problem-solving while working on automotive projects.

The Diagnostics & Data Systems Engineer develops diagnostic requirements and integrates data systems while utilizing data engineering and AI technologies to enhance vehicle diagnostics and support applications.

As a Software Engineer, you will develop multi-tier applications, interact with stakeholders, and employ agile methodologies to enhance automotive cybersecurity solutions.

The Senior Software Engineer Full Stack at Ford will design scalable cloud solutions using GCP, develop microservices with Java, implement CI/CD practices, and enhance user interfaces using Angular while collaborating in Agile teams.

The Senior Application Architect leads software architecture design across cloud and on-premises systems, ensures scalable integrations with Oracle EBS, mentors teams, and drives technical decisions while maintaining security and performance standards.

Lead engineering projects from concept to completion, coordinating teams to ensure quality solutions on time and within budget, focusing on continuous improvement.

The Industry 4.0 Engineer designs and implements IoT solutions for manufacturing, optimizes processes, develops analytics platforms, and trains staff.

The AI Engineer will build AI-powered solutions, enhance user interfaces, manage UI/UX processes, and collaborate with teams to deliver quality products.