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# Full Stack Engineer, Back-end/Edge Development

- **Company:** Ford Motor Company
- **Location:** Dearborn, MI, United States
- **Experience:** Experienced
- **Salary:** $12,480.0 - $16,640.0
- **Contract:** Permanent contract
- **Skills:** Web Interfaces, Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, BigQuery, C++ (Programming Language), Cloud Computing, Continuous Integration, Data Architecture, DevOps, Python (Programming Language), PostgreSQL, Machine Learning, Message Queuing Telemetry Transport (MQTT), Node.Js, OpenCV, Tensorflow, Software Deployment, Software Engineering, TypeScript, Web Application Frameworks, WebSocket, Google Cloud, Pytorch, ReactJS, Large Language Models, Backend, Agentic-AI, Git, Kubernetes, Information Technology, Data Analytics, Front End Software Development, TensorRT, Multiaccess Edge Computing, Api Design, Restful APIs, NVIDIA Jetson, Stream Processing, Software Version Control, Data Pipelines, Docker, Microservices
- **Published:** October 11, 2026
- **Apply:** https://dejobs.org/x/x/C759E14511434BBEB3ECD8B33D991081/job/

## About the Role

* Education: Bachelors degree in a Computer Science or related field required.
 * Experience: 3+ years of professional software engineering experience in a production environment.
 * Edge Development: Proven experience deploying software to edge computing hardware or IoT devices.
 * Backend Mastery: Strong proficiency in Python (required) and at least one other language (C++, Go, or Node.js).
 * Cloud Fluency: Experience building on Google Cloud Platform (GCP) or similar (AWS/Azure), specifically with managed database services.
 * Modern Frontend: Experience building responsive web applications with React or similar modern frameworks.
 * DevOps Basics: Familiarity with Docker, CI/CD pipelines, and version control (Git).

Desired Skills:

 * Experience with OpenCV, TensorRT, or OpenVINO for vision optimization.
 * Familiarity with ML frameworks like PyTorch or TensorFlow .
 * Knowledge of industrial protocols (MQTT, WebSockets) for real-time data streaming.
 * A passion for "Agentic" workflows and continuous improvement.

## Description

We are seeking an experienced Full-Stack Software Engineer to build the software ecosystem powering our next-generation AI Vision Systems. You will develop the "connective tissue" between high-performance machine learning models running on edge hardware and our Google Cloud-based analytics backend. This is a hands-on role for an engineer who is passionate about bringing AI out of the lab and into the real world., * Edge Software Integration: Develop and optimize software to deploy machine learning models on edge devices (NVIDIA Jetson/Thor), ensuring low-latency performance for real-time vision tasks.

 * Full-Stack API Development: Build scalable RESTful APIs and microservices (Python/C++) that allow edge devices to communicate seamlessly with cloud backends.
 * Data Architecture: Design and manage data pipelines using Google Cloud tools (BigQuery, Postgres) to handle real-time image/video data and model telemetry.
 * Web Interfaces: Create intuitive, high-performance web-based dashboards (React/TypeScript) for monitoring system health and visualizing AI-driven insights.
 * AI-Augmented Engineering: Heavily leverage Agentic AI tools and LLM-assisted workflows to accelerate development cycles and maintain high code quality.
 * Cross-Functional Delivery: Collaborate with Data Scientists to containerize models (Docker/Kubernetes) and with Hardware Engineers to validate performance on the factory floor.