Software Engineering Lead

Ford Motor Company

. Lead, coach, and grow a multi-disciplinary team of software and data engineers .

Posted 10/12/2026full-timeRedford • Michigan • United StatesSenior💰 $132,800 - $250,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading software engineering teams, managing the software development lifecycle, and implementing MLOps practices. Proficient in integrating AI-assisted tools and ensuring high-quality software delivery in manufacturing environments.

Highest-signal resume keywords

Software Development Lifecycle ManagementMLOps PlatformsAgile Team LeadershipComputer Vision ExpertiseData Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning LifecycleAutomated TestingCI/CD PracticesData EngineeringModel TrainingModel InferenceModel MonitoringSoftware EngineeringComplex Data-Driven ProductsIndustrial Communication Protocols

Soft Skills

CoachingMentoringCollaborationContinuous ImprovementTalent Retention

Tools & Technologies

GCPAI-Assisted Engineering ToolsEdge Computing HardwareCentralized Data PlatformsFactory Hardware

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceBachelor’s Degree in AI/ML

Industry Keywords

Manufacturing EnvironmentsIoT ContextSoftware ScalabilityEngineering Best PracticesAgentic Workflows

Tech Stack

Tools & technologies

CloudGoogle Cloud PlatformIoT

About the role

Key responsibilities & impact

Lead, coach, and grow a multi-disciplinary team of software and data engineers
Foster a collaborative environment focused on continuous improvement and professional development
Own the software development lifecycle for Sight Vision products
Ensure delivery of high-quality, maintainable, reliable, and highly scalable software meeting milestones and performance benchmarks
Provide technical oversight for software and hardware architecture, MLOps pipelines, technology stack selection, and controls integration
Balance rapid innovation with stability required for 24/7 manufacturing environments
Partner with Product Managers and stakeholders to translate manufacturing challenges into technical roadmaps and executable engineering backlogs
Ensure vision products integrate seamlessly with centralized data and operating platforms
Drive engineering best practices, including automated testing, CI/CD, and robust monitoring for models deployed at the edge on factory hardware
Integrate agentic workflows and AI-assisted engineering tools to maximize team productivity and software quality
Work with site-level stakeholders to account for factory lighting, line speeds, and network constraints during deployment

Requirements

What you’ll need

Bachelor’s degree in Computer Science, AI/ML, or a related technical field
5+ years of experience directly managing software engineering teams
Proven track record of hiring, mentoring, and retaining talent
8+ years of experience in software engineering, Computer Vision, or complex data-driven products
Deep understanding of the machine learning lifecycle, including data engineering, model training, inference, and monitoring
Extensive experience leading teams in Agile environments, managing sprints, and optimizing delivery velocity
Experience with MLOps platforms and cloud infrastructure (GCP) preferred
Experience scaling software products from a single pilot to a global enterprise footprint in an industrial or IoT context preferred
Strong experience in agentic workflows is a huge plus
Knowledge of industrial communication protocols and edge computing hardware preferred
Must be legally authorized to work in the United States
Visa sponsorship is not available

Benefits

Comp & perks

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
Family building benefits including adoption and surrogacy expense reimbursement and fertility treatments
Vehicle discount program for employees and family members
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
Relocation assistance