Software Full Stack Engineer

Ford México; Naucalpan de Juárez; Presencial; MXN 900.000 - 1.300.000; Jornada completa

Descripción de la vacante

Ford México is seeking an experienced Full-Stack Software Engineer to build the software ecosystem powering AI vision systems. You will connect edge ML models with a Google Cloud analytics backend, and develop responsive dashboards to monitor system health and insights.

Responsibilities include deploying to edge devices, building RESTful APIs, and managing data pipelines. Collaboration with data scientists and hardware teams is essential for real-world factory environments.

Formación

• 5+ years of professional software engineering experience.
• Experience deploying to edge hardware or IoT devices.
• Proficiency in Python and at least one other language (C++, Go, or Node.js).
• Cloud experience with GCP/AWS/Azure and managed databases.
• Frontend experience with React or similar frameworks.
• Familiarity with Docker, CI/CD, and Git.
• Experience with OpenCV, TensorRT, or OpenVINO.
• Knowledge of ML frameworks like PyTorch or TensorFlow.
• Knowledge of MQTT/WebSockets for real-time data streaming.
• Passion for Agentic workflows and continuous improvement.

Responsabilidades

• Edge software integration and optimization for real-time vision tasks.
• Full-stack API development in Python/C++ with cloud backends.
• Design data pipelines using Google Cloud tools for real-time data.
• Build web dashboards with React/TypeScript for monitoring.
• Containerize models with Docker/Kubernetes and collaborate with hardware engineers.

Herramientas

Python

C++

Go

Node.js

React

TypeScript

Docker

Kubernetes

Git

OpenCV

TensorRT

OpenVINO

PyTorch

TensorFlow

MQTT

WebSockets

Google Cloud Platform

AWS

Azure

CI/CD

NVIDIA Jetson

Docker/Kubernetes

Descripción del empleo

Job 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.

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.

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 Frontend: Experience building responsive web applications with React or similar modern frameworks.
• DevOps Basics: Familiarity with Docker, CI/CD pipelines, and version control (Git).
• 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.

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.

Ford of Mexico is committed to being an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, pregnancy, veteran status, or disability status.

Our focus is to build the best team. If you think you can bring value to Ford, love to collaborate, prioritize and aim to deliver excellence in everything you do, we encourage you to apply!

We thank all candidates for their interest, but only those selected for an interview will be contacted.

About Us

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow’s transportation.

About The Team

We build world-class vehicles in our plants around the world, constantly developing new technologies and processes to further increase our efficiency. It’s our people who really make the difference. We encourage all of our employees to think outside the box to help us find better and more efficient ways to manufacture our vehicles.