Full-stack Software Engineer
Ford Motor Company · Dearborn, MI · 5 days ago
HybridInformation TechnologyFull-time
Job Summary
We are seeking an experienced Full-Stack Software Engineer to join our dynamic team working on building a cutting-edge Artificial Intelligence (AI) Vision System from the ground up. This is a hands-on role that bridges front-end, back-end, and edge computing.
What You'll Do...
- Build scalable, secure web-based interfaces, RESTful APIs, and microservices to interact with edge vision systems and manage cloud-based machine learning workflows on GCP.
- MLOps & Edge Computing>Deploy, optimize, and serve machine learning models on edge devices (e.g., industrial PCs, NVIDIA Jetson).
- Database Integration>Architect and manage data pipelines using SQL and NoSQL databases to handle large datasets, assembly traceability identifiers, and model result storage.
- Remote Device Management>Develop and establish monitoring, telemetry, and remote management tools for edge hardware and cameras to ensure system health and performance.
- Code Quality & CI/CD>Write clean, maintainable code following DevSecOps standards. Implement unit/integration testing and manage containerized CI/CD pipelines to ensure reliable software delivery.
- Troubleshooting & Debugging>Diagnose and resolve complex system issues spanning edge computing performance, API integrations, and network connectivity on the manufacturing floor.
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, or a related technical field OR a combination of education and experience
- 3+ years of professional software engineering experience building preferably full-stack or backend systems
- Strong proficiency in Python, alongside experience with modern frontend frameworks (e.g., Angular or React) and backend languages (e.g., Java, C#, or Node.js)
- 3+ years of experience designing and building RESTful APIs and working with core web technologies
- 2+ years of experience with containerization, CI/CD pipelines, and deploying software to Linux-based edge environments
- Proficiency with GitHub and modern version control workflows
- Strong analytical problem-solving skills and excellent communication abilities to collaborate effectively across IT and business teams
- 3+ years of experience with cloud platforms (GCP strongly preferred) and hands-on experience with both relational and non-relational databases
- Familiarity with AI and computer vision frameworks (OpenCV, TensorFlow, PyTorch)
- Experience integrating with GigE or industrial cameras for image acquisition
- Experience integrating software with manufacturing plant floor systems or Quality Management Systems
- Understanding of real-time data processing and streaming technologies (e.g., MQTT, WebSockets, GCP Pub/Sub)
- Familiarity with modern authentication and authorization concepts
Benefits
- 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
Qualifications
- Master’s degree in Computer Science
- Familiarity with Edge AI & Vision
- Experience integrating with GigE or industrial cameras for image acquisition
- Experience integrating software with manufacturing plant floor systems or Quality Management Systems
- Understanding of real-time data processing and streaming technologies (e.g., MQTT, WebSockets, GCP Pub/Sub)
- Familiarity with modern authentication and authorization concepts
Schedule
This is a hybrid role, you are expected to relocate if you are not within commutable distance, and responsible to be on site 4 days a week.
Pay
This position is a range of salary grades 6-8.