Software Full Stack Engineer

Ford Motor Company

. Develop and optimize software to deploy machine learning models on NVIDIA Jetson/Thor edge devices for low-latency real-time vision tasks .

Posted 9/29/2026full-timeNaucalpan de Juárez • MexicoMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and optimizing software for machine learning models on edge devices, with strong capabilities in building scalable APIs and managing cloud data pipelines. Proficient in leveraging modern frameworks and tools for real-time data processing and visualization.

Highest-signal resume keywords

Python ProgrammingC++ ProgrammingGoogle Cloud Platform (GCP)React Web DevelopmentDocker Containerization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning Model DeploymentRESTful API DevelopmentData Pipeline ManagementOpenCVTensorRTOpenVINOPyTorchTensorFlowCI/CD PipelinesGit

Tools & Technologies

NVIDIA JetsonBigQueryPostgresAgentic AI ToolsKubernetesMQTTWebSockets

Industry Keywords

Edge ComputingIoT DevicesReal-Time Vision TasksCloud BackendsResponsive Web Applications

Tech Stack

Tools & technologies

AWSAzureBigQueryCloudDockerGoogle Cloud PlatformIoTJavaScriptKubernetesMicroservicesNode.jsPostgresPythonPyTorchReactTensorflowTypeScriptC++Go

About the role

Key responsibilities & impact

Develop and optimize software to deploy machine learning models on NVIDIA Jetson/Thor edge devices for low-latency real-time vision tasks
Build scalable RESTful APIs and Python/C++ microservices connecting edge devices with cloud backends
Design and manage Google Cloud data pipelines using BigQuery and Postgres for real-time image/video data and model telemetry
Create React/TypeScript web dashboards for monitoring system health and visualizing AI-driven insights
Leverage Agentic AI tools and LLM-assisted workflows to accelerate development and maintain code quality
Collaborate with Data Scientists to containerize models using Docker/Kubernetes
Collaborate with Hardware Engineers to validate performance on the factory floor

Requirements

What you’ll need

5+ years of professional software engineering experience in a production environment
Proven experience deploying software to edge computing hardware or IoT devices
Strong proficiency in Python and at least one other language: C++, Go, or Node.js
Experience building on Google Cloud Platform (GCP) or similar AWS/Azure, specifically with managed database services
Experience building responsive web applications with React or similar modern frameworks
Familiarity with Docker, CI/CD pipelines, and Git
Experience with OpenCV, TensorRT, or OpenVINO for vision optimization
Familiarity with PyTorch or TensorFlow
Knowledge of MQTT or WebSockets for real-time data streaming
Able to travel to the US
Preferred Degree: Bachelor of Science

Benefits

Comp & perks

Equal opportunity and diverse, inclusive workplace commitment
Only selected candidates will be contacted for an interview