Top Hybrid Software Engineer Jobs in Detroit, MI

The Automation Senior Project Lead manages the development and deployment of automation solutions for VAA modules, driving alignment across teams and suppliers while leading ideation workshops and R&D trials.

The Automation Project Lead develops automation solutions for Value-Added Assembly modules, leads projects, influences stakeholders, and collaborates with suppliers to implement systems.

This role involves defining AV evaluation processes, implementing performance assessment infrastructures, and improving evaluation KPIs through collaboration and analytical methods to enhance ML-driven autonomy.

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.

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 Software Engineer will focus on front-end development, collaborate with teams to create applications, and manage incident-related tasks.

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.