Full Stack Engineer, Back-end/Edge Development

Lincoln Motor Company; Palo Alto (CA); On-site; USD 85,000 - 193,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Parental leave & family care support

Tuition assistance

Vehicle discount program

Job summary

Ford Motor Company seeks an experienced Full-Stack Software Engineer to bridge edge ML models with Google Cloud analytics. You will build RESTful APIs, deploy on edge hardware, and create web dashboards for AI-driven insights.

Ideal candidates have 3+ years of production software experience, strong Python, React, and cloud skills, plus Docker/Kubernetes familiarity. Visa sponsorship and relocation assistance available.

Qualifications

• Bachelor's degree in CS or related field required.
• 3+ years of professional software engineering experience.
• Experience deploying software to edge hardware or IoT devices.
• Strong Python and at least one other language (C++, Go, Node.js).
• Cloud experience with GCP or AWS/Azure and managed databases.
• Frontend with React/TypeScript; backend RESTful API development.
• Familiar with Docker, CI/CD, and Git.

Responsibilities

• Edge software integration for ML models on jetson/Thor.
• Full-stack API development with Python/C++.
• Data pipelines using Google Cloud tools for real-time data.
• Web dashboards in React/TypeScript for monitoring AI insights.
• Collaborate with data scientists and hardware engineers; containerize models.

Skills

Python

Go

C++

Node.js

React

TypeScript

Docker

Kubernetes

Git

CI/CD

Cloud (GCP/AWS)

OpenCV

TensorRT/OpenVINO

PyTorch/TensorFlow

MQTT/WebSockets

Education

Bachelor's degree in Computer Science or related field

Tools

Google Cloud Platform

Job description

About the Role:

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

• 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

• 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).

• 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.

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:

• 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 and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A 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.

This position ranges from salary grade 6-8 and ranges from $85,400-$192,900.

Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.

This role can be based in Palo Alto, CA or Dearborn, MI.

Visa sponsorship IS available for this position.

Relocation assistance IS provided for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

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