Full-stack Software Engineer

Ford • Dearborn, MI

9d • Hybrid

About The Position

We are seeking an experienced Full-Stack Software Engineer to join our dynamic team working on building a cutting-edge Artificial Intelligence (AI) Vision System from the ground up. Utilizing a Google Cloud Platform (GCP) edge-to-cloud continuum, you will develop and maintain the software that powers image acquisition, serves machine learning models on edge PCs, and integrates with cloud-based APIs and infrastructure. This is a hands-on role that bridges front-end, back-end, and edge computing. You will take end-to-end ownership of the software lifecycle—from architecture and development to edge deployment, telemetry monitoring, and ensuring high reliability in a live manufacturing environment.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field OR a combination of education and experience
• 3+ years of professional software engineering experience building preferably full-stack or backend systems.
• Strong proficiency in Python, alongside experience with modern frontend frameworks (e.g., Angular or React) and backend languages (e.g., Java, C#, or Node.js).
• 3+ years of experience designing and building RESTful APIs and working with core web technologies.
• 2+ years of experience with containerization, CI/CD pipelines, and deploying software to Linux-based edge environments.
• Proficiency with GitHub and modern version control workflows.
• Strong analytical problem-solving skills and excellent communication abilities to collaborate effectively across IT and business teams.
• 3+ years of experience with cloud platforms (GCP strongly preferred) and hands-on experience with both relational and non-relational databases.

Nice To Haves

• Master’s degree in Computer Science
• Familiarity with AI and computer vision frameworks (OpenCV, TensorFlow, PyTorch).
• Experience integrating with GigE or industrial cameras for image acquisition.
• Experience integrating software with manufacturing plant floor systems or Quality Management Systems.
• Understanding of real-time data processing and streaming technologies (e.g., MQTT, WebSockets, GCP Pub/Sub).
• Familiarity with modern authentication and authorization concepts.

Responsibilities

• Build scalable, secure web-based interfaces, RESTful APIs, and microservices to interact with edge vision systems and manage cloud-based machine learning workflows on GCP.
• Deploy, optimize, and serve machine learning models on edge devices (e.g., industrial PCs, NVIDIA Jetson). Implement software solutions for low-latency image acquisition and real-time inference.
• Architect and manage data pipelines using SQL and NoSQL databases to handle large datasets, assembly traceability identifiers, and model result storage.
• Develop and establish monitoring, telemetry, and remote management tools for edge hardware and cameras to ensure system health and performance.
• Partner with Data Scientists, Hardware Engineers, and Product Managers to translate business requirements into robust technical solutions.
• Write clean, maintainable code following DevSecOps standards. Implement unit/integration testing and manage containerized CI/CD pipelines to ensure reliable software delivery.
• Diagnose and resolve complex system issues spanning edge computing performance, API integrations, and network connectivity on the manufacturing floor.

Benefits

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level