Software Engineer Jobs at Ford Motor Company with Visa Sponsorship
Ford Motor Company hires Software Engineers across vehicle software, embedded systems, connected car platforms, and autonomous driving. The company has an established sponsorship infrastructure that supports international engineers through multiple visa pathways, making it a realistic target for candidates who need work authorization.
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Overview
At Ford, you’ll work on ideas that matter, alongside passionate people who want to make a global impact. Together, we’re shaping the next era of transportation—grounded in purpose, driven by progress. Make your move.
- Job Type: Full time
- 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. 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:
- 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.
- Incremental and Iterative Delivery: Work with the team and key stakeholders to find and deliver product increments in an iterative way, taking reasonable risks, validating key hypothesis, and learning continuously.
- Cross-Functional Deployment: Collaborate with Data Scientists to containerize models (Docker/Kubernetes) and with Hardware Engineers to validate performance on the factory floor.
Required Qualifications:
- 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 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.

Overview
At Ford, you’ll work on ideas that matter, alongside passionate people who want to make a global impact. Together, we’re shaping the next era of transportation—grounded in purpose, driven by progress. Make your move.
- Job Type: Full time
- 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. 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:
- 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.
- Incremental and Iterative Delivery: Work with the team and key stakeholders to find and deliver product increments in an iterative way, taking reasonable risks, validating key hypothesis, and learning continuously.
- Cross-Functional Deployment: Collaborate with Data Scientists to containerize models (Docker/Kubernetes) and with Hardware Engineers to validate performance on the factory floor.
Required Qualifications:
- 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 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.
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Get Access To All JobsTips for Finding Software Engineer Jobs at Ford Motor Company Jobs
Align your portfolio to Ford's software domains
Ford's Software Engineer openings cluster around ADAS, vehicle connectivity, and cloud-based telematics. Frame your resume and GitHub projects around embedded C++, ROS, or automotive-grade software stacks rather than generic web development experience.
Verify your degree meets specialty occupation standards
USCIS requires H-1B roles to qualify as specialty occupations. For software engineering, a bachelor's degree in computer science, electrical engineering, or a directly related field is the baseline. A general IT or business degree may complicate your petition.
Target Ford's internal mobility and rotational programs
Ford runs structured engineering rotational programs that frequently convert to full-time sponsored roles. F-1 OPT candidates who enter through these pipelines often transition into H-1B sponsorship before their OPT period expires, giving you a built-in runway.
Understand Ford's PERM timeline before accepting an offer
If you're pursuing a Green Card through EB-2 or EB-3, PERM labor certification with DOL typically takes 12 to 18 months before the I-140 stage. Clarify early in the offer negotiation whether Ford initiates PERM promptly or waits until a milestone date.
Use Migrate Mate to filter Ford Software Engineer openings by visa type
Ford posts across multiple job boards, but not all listings signal sponsorship availability. Migrate Mate lets you filter Ford's Software Engineer roles specifically by visa type, so you're only applying to positions where your work authorization is already confirmed as supported.
Prepare for Ford's technical process before the recruiter call
Ford's Software Engineer interviews typically include system design rounds focused on automotive software architecture alongside coding assessments. Sponsorship conversations happen at the offer stage, so getting through the technical rounds first is what puts you in a position to negotiate.
Software Engineer at Ford Motor Company jobs are hiring across the US. Find yours.
Find Software Engineer at Ford Motor Company JobsFrequently Asked Questions
Does Ford Motor Company sponsor H-1B visas for Software Engineers?
Yes, Ford Motor Company sponsors H-1B visas for Software Engineers. The company has an established immigration infrastructure and works with legal counsel to file H-1B petitions for qualifying roles. Software Engineering at Ford typically meets USCIS specialty occupation standards given the degree requirements in computer science, electrical engineering, or related fields. Sponsorship is generally discussed during the offer stage, not before.
Which visa types does Ford Motor Company commonly sponsor for Software Engineers?
Ford sponsors H-1B, E-3 (for Australian citizens), TN (for Canadian and Mexican nationals), and F-1 OPT and CPT for students. For longer-term pathways, Ford supports EB-2 and EB-3 Green Card sponsorship through PERM labor certification with DOL. The right visa depends on your citizenship, degree, and how long you've been in the U.S., so the path varies by candidate.
How do I apply for Software Engineer jobs at Ford Motor Company?
You can search and apply directly through Ford's careers portal at ford.com/careers. To find roles confirmed for visa sponsorship, Migrate Mate lets you browse Ford's Software Engineer openings filtered by visa type, which removes the guesswork of which positions support international candidates. Apply with a resume tailored to Ford's focus areas: embedded systems, ADAS, vehicle connectivity, and cloud platforms.
What qualifications does Ford expect for Software Engineer roles requiring visa sponsorship?
Most Ford Software Engineer roles require a bachelor's degree in computer science, electrical engineering, software engineering, or a closely related field. USCIS requires this degree alignment for H-1B specialty occupation approval, so a mismatched degree can create petition complications. Hands-on experience with automotive software frameworks, real-time operating systems, or connected vehicle platforms strengthens both your application and your visa petition.
How do I time my H-1B filing if I'm on F-1 OPT at Ford?
Ford would need to file your H-1B petition by the April 1 registration deadline for the following October 1 start date. If you're on 12-month OPT, work backward from that window. STEM OPT extension gives you up to 36 months total, which covers two H-1B lottery cycles if you're not selected in the first round. Confirm Ford's internal sponsorship deadlines with your recruiter well before the USCIS registration period opens in March.
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