Jobs / For***
Software Engineer
For*** · Dearborn, MI, United States
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Dearborn, MI, United States85,400-192,900 USD/yearlyOnsite
Remuneration
85,400-192,900 USD/yearly
Location
Dearborn, MI, United States
Visa sponsorship
Sponsors visa
Job summary
Job ID 65862 Category Manufacturing Engineering Location Dearborn, Michigan Work Type On-site 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.
Benefits
Including adoption and surrogacy expense reimbursement, fertility treatments, anVehicle discount program for employees and family members and management leasesTuition assistanceEstablished and active employee resource groupsPaid time off for individual and team community serviceA generous schedule of paid holidays, including the week between Christmas and NPaid time off and the option to purchase additional vacation time.For a detailed look at ourClick 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
Qualifications
- We are seeking an experienced Full-Stack Software Engineer to build the software ecosystem powering our next-generation AI Vision Systems.
- 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 using docker as the key configuration, build, and deploy mechanism, CI/CD pipelines and disciplined version control approach (GIT based)
- Desired
Responsibilities
- You will develop the "connective tissue" between high-performance machine learning models running on edge hardware and our Google Cloud-based analytics backend.
- 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
Degrees
Associate
Industry
EnergyManufacturingMedia
Company size
EnterpriseSmb
Relocation
Yes