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Automotive, Manufacturing, Technology

Full Stack Engineer, Back-end/Edge Development

Palo Alto, CAHybridFull Time$85,400–$192,900 /yrPosted 29 days agoVisa sponsorship available

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Required skills

  • Full-Stack Software Engineer
  • AI Vision Systems
  • edge hardware
  • Google Cloud
  • analytics backend
  • machine learning models
  • edge devices
  • NVIDIA Jetson/Thor
  • low-latency performance
  • real-time vision tasks

Nice to have

  • OpenCV
  • TensorRT
  • OpenVINO
  • vision optimization
  • ML frameworks
  • PyTorch

Role summary

Seeking an experienced Full-Stack Software Engineer to develop the software ecosystem for next-generation AI Vision Systems. This role involves building the integration between machine learning models on edge hardware and a Google Cloud-based analytics backend. Responsibilities include edge software integration, full-stack API development (Python/C++), data pipeline design (BigQuery, Postgres), web dashboard creation (React/TypeScript), leveraging AI tools for development, and collaborating with Data Scientists and Hardware Engineers. Requires a Bachelor's degree in Computer Science, 3+ years of experience in production environments, and proven skills in edge development, Python, GCP, React, Docker, Kubernetes, and CI/CD.

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

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

Required 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).

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.

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!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.

For a detailed look at our benefits, click here: https://fordcareers.co/GSRThis 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. #LI-Onsite #LI-DS2
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