Full Stack Engineer, Back-end/Edge Development

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 10/9/2026full-timeUnited StatesMid-LevelSenior💰 $85,400 - $192,900 per yearWebsite

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 deploying applications using modern frameworks and containerization technologies while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

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

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning Model DeploymentRESTful API DevelopmentData Pipeline ManagementOpenCVTensorRTOpenVINOPyTorchTensorFlowCI/CD PipelinesGit

Soft Skills

CollaborationContinuous Improvement

Tools & Technologies

NVIDIA JetsonAgentic AI ToolsBigQueryPostgresKubernetesMQTTWebSockets

Certifications & Qualifications

Bachelor's Degree in Computer Science

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 high-performance React/TypeScript web dashboards for system monitoring and AI-driven insights
Use 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

Bachelor's degree in Computer Science or a related field required
3+ 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 cloud platforms (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
Legally authorized to work in the United States
Experience with OpenCV, TensorRT, or OpenVINO for vision optimization
Familiarity with PyTorch or TensorFlow
Knowledge of MQTT or WebSockets for real-time data streaming
Passion for Agentic workflows and continuous improvement

Benefits

Comp & perks

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
Adoption and surrogacy expense reimbursement
Fertility treatments
Vehicle discount program for employees and family members
Management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
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
Visa sponsorship
Relocation assistance