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.

Responsibilities
- 4 Days On Site In GTBC Ford México (Naucalpan, México)
- Able to travel to US.
- 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.

Required Qualifications
- Experience: 5+ 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

📌 Software Full Stack Engineer (Estado de México)
🏢 Ford
📍 Estado de México