Relocation Frontend Developer Jobs in Michigan (NOW HIRING)

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves? 

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. Utilizing a Google Cloud Platform (GCP) edge-to-cloud continuum, you will develop and maintain the software that powers image acquisition, serves machine learning models on edge PCs, and integrates with cloud-based APIs and infrastructure.

This is a hands-on role that bridges front-end, back-end, and edge computing. You will take end-to-end ownership of the software lifecycle-from architecture and development to edge deployment, telemetry monitoring, and ensuring high reliability in a live manufacturing environment.

You'll have... 

• 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.

  • Programming Languages: 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).

  • APIs & Web Technologies: 3+ years of experience designing and building RESTful APIs and working with core web technologies.
  • DevOps & Edge: 2+ years of experience with containerization, CI/CD pipelines, and deploying software to Linux-based edge environments.
  • Version Control: Proficiency with GitHub and modern version control workflows.

  • Soft Skills: 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.

Even better, you may have...

• Master's degree in Computer Science,
• Edge AI & Vision: Familiarity with AI and computer vision frameworks (OpenCV, TensorFlow, PyTorch).
• Industrial Hardware: Experience integrating with GigE or industrial cameras for image acquisition.
• Manufacturing Systems: Experience integrating software with manufacturing plant floor systems or Quality Management Systems.
• Streaming & IoT: Understanding of real-time data processing and streaming technologies (e.g., MQTT, WebSockets, GCP Pub/Sub).
• Security: Familiarity with modern authentication and authorization conceptsFormularbeginnFormularende.

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/GSR-HTHD
This position is a range of salary grades 6-8.

*Note: 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

Visa sponsorship is not available 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 committed to a culturally diverse workforce. 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-Hybrid

#LI-AH1
 

What you'll do...

• Edge-to-Cloud Development: 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). Implement software solutions for low-latency image acquisition and real-time inference.
• 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.
• Cross-Functional Collaboration: Partner with Data Scientists, Hardware Engineers, and Product Managers to translate business requirements into robust technical solutions.
• 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.