Full-stack Software Engineer

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 part of something bigger than ourselves. Are you ready to change the way the world moves?

• 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.
• Deploy, optimize, and serve machine learning models on edge devices (e.g., industrial PCs, NVIDIA Jetson) and implement software solutions for low‑latency image acquisition and real‑time inference.
• Architect and manage data pipelines using SQL and No
  
  SQL databases to handle large datasets, assembly traceability identifiers, and model result storage.
• Develop and establish monitoring, telemetry, and remote management tools for edge hardware and cameras to ensure system health and performance.
• Partner with Data Scientists, Hardware Engineers, and Product Managers to translate business requirements into robust technical solutions.
• Write clean, maintainable code following Dev Sec Ops  standards, implement unit/integration testing, and manage containerized CI/CD pipelines to ensure reliable software delivery.
• Diagnose and resolve complex system issues spanning edge computing performance, API integrations, and network connectivity on the manufacturing floor.

• 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 full‑stack or backend systems.
• 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 Git Hub 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.

• Master’s degree in Computer Science.
• Familiarity with AI and computer vision frameworks (OpenCV, Tensor Flow, 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, Web Sockets, GCP Pub/Sub).
• Familiarity with modern authentication and authorization concepts.

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!

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, visit:

This position has a salary grade range of 6–8. It is a hybrid role; you are expected to relocate if you are not within commutable distance and to be on site four 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.