Ford Motor Company

Engineering Manager

• Serve as the primary technical authority for the Order Generation product suite
• Define the technology stack, data architecture, AI/ML capabilities, and architectural patterns
• Lead cross-functional teams through complex integrations and manage ecosystem dependencies
• Translate business requirements into technical strategies aligned with Ford enterprise standards
• Define and execute AI/ML and data analytics product strategy
• Identify, evaluate, and prioritize AI/ML opportunities across forecasting, order generation, decision support, anomaly detection, optimization, and workflow automation
• Lead AI/ML products from discovery and business-case development through experimentation, MVP validation, industrialization, launch, adoption, and continuous improvement
• Partner with Data Science, Data Engineering, Product, Architecture, Cybersecurity, Legal, Privacy, and business teams
• Establish product metrics, experimentation methods, model performance targets, and adoption measures
• Monitor emerging technologies and assess build, buy, or partner opportunities
• Define and execute a multi-year product vision and roadmap for optimized order forecasting and generation
• Champion Agile delivery, MVPs, Human-Centered Design, launch planning, adoption, training, change management, and feedback loops
• Guide MLOps and LLMOps practices including experimentation, model registry, testing, deployment, monitoring, drift detection, retraining, rollback, and auditability
• Define controls for model quality, explainability, bias and fairness, privacy, security, human oversight, and responsible use
• Enforce Test-Driven Development, CI/CD, DevSecOps, Full Lifecycle Ownership, and operational KPIs
• Architect cloud-native, microservices-based systems for global scale, multi-tenancy, and high-performance transactional processing
• Design interoperable data and AI architectures supporting batch and real-time inference, event-driven workflows, APIs, observability, and secure enterprise integration
• Cultivate and develop a diverse team through coaching, mentorship, career pathing, psychological safety, and continuous learning
• Collaborate with Cloud Infrastructure, Data & AI, Cybersecurity, Responsible AI, SRE, and DevOps teams
• Influence adoption of modern engineering practices, responsible AI controls, reusable data products, and standardized service contracts
• Participate in architecture and code reviews, resolve technical blockers, review model and data design decisions, and prototype emerging technologies

Software Engineering Manager

Engineer

• Lead component integration across hardware, software, calibration, diagnostics, cybersecurity, validation, and production teams
• Integrate ECUs into the vehicle electrical system across bench, HIL, vehicle build, commissioning, and production readiness activities
• Partner with contract manufacturers and suppliers to ensure hardware and software meet specifications, quality expectations, and delivery schedules
• Validate system behavior, interface readiness, and integration maturity across bench, desktop, and lab-car environments
• Lead structured root-cause investigations of software, hardware, network, diagnostic, and vehicle-level issues
• Own verification planning covering functional behavior, electrical performance, communications, diagnostics, cybersecurity, environmental conditions, and vehicle integration
• Control release readiness and engineering changes across hardware, software, calibration, drawings, requirements, interface definitions, configuration records, diagnostics, network behavior, and supplier content
• Support launch readiness through calibration routines, configuration writes, VIN consumption, in-line factory software programming, netloader operations, dealer service diagnostics, supplier recovery actions, production readiness, service readiness, and post-launch technical support
• Serve as DRI for Ford’s High-Performance Computing Cluster and Telematics Control Unit across the complete vehicle lifecycle
• Lead a cross-functional technical community spanning systems engineering, software, electrical hardware, validation, manufacturing, service, cybersecurity, quality, program management, and suppliers

Senior Infotainment Component Engineer – Compute and Connectivity

Manager

• Lead, coach, and inspire a high-performing team and network of project contributors, vendors, agencies, and cross-functional partners
• Develop and lead early-engagement strategies to increase awareness of automotive careers and expand the technician pipeline
• Identify new talent populations, partnerships, technologies, and engagement models
• Design and develop programs, experiences, partnerships, campaigns, and talent pathways
• Lead initiatives from ideation through research, business-case development, pilot execution, evaluation, refinement, and launch
• Design and lead pilots testing talent sources, engagement experiences, technologies, partnerships, communication methods, and pipeline strategies
• Create implementation roadmaps, operating models, playbooks, resource plans, and transition strategies
• Lead complex strategic initiatives and executive-sponsored special projects
• Develop executive-level presentations, strategy decks, business cases, briefing materials, talking points, and recommendations
• Lead multiple concurrent projects and establish project-management practices, including work plans, milestone tracking, risk management, and status reporting
• Establish KPIs and evaluation frameworks for awareness, engagement, applications, enrollment, placement, retention, dealer participation, program quality, and ROI
• Aggregate, analyze, and synthesize labor-market, demographic, dealer, participant, program, and external research data
• Build scalable processes, governance structures, decision frameworks, playbooks, and documentation
• Potentially oversee Forward Tech media, marketing, and promotional strategy
• Build partnerships across education, workforce development, government, industry, technology, community organizations, nonprofits, and foundations
• Manage vendors, agencies, consultants, technology providers, contracts, purchase orders, budgets, and financial processes
• Develop long-term strategies, financial models, funding recommendations, resource plans, and business cases
• Monitor program and project budgets and make investment recommendations

Technician Success Program Innovation Manager

Supply Chain

• Support Ford’s next generation of vehicle programs
• Lead Supply Chain program planning and work plans covering Commodity Planning, Sourcing, Supplier Quotation, and Sourcing Contract activities
• Develop and maintain the Sourcing Tracker / SWT (Sourcing Workplan Tool)
• Partner with Program Management, Product Development, Finance, and Cost Estimating to align sourcing assumptions, commodity selection, program targets, and financial requirements
• Drive sourcing milestones, including target setting, Supplier Engineering On-Board Dates (SEOBD), SIR requirements, and timely completion of IPQ Packages with VHMs
• Lead Supply Chain participation in Sourcing PATs and NML forums
• Communicate program timing, status, requirements, risks, and resource priorities across Supply Chain and Site STA
• Coordinate program localization requirements and changes requiring significant capital investment
• Coordinate Purchasing support for pre-program planning, manufacturing cost studies, ILVS/sequencing studies, make-versus-buy analyses, and purchase order and tooling order placement
• Own the Supply Chain point of view for the program
• Provide status reporting and Supply Chain inputs to GPDS Integrator, corporate BPR, OESAR, and program milestone reviews
• Drive cross-functional alignment and resolution of issues to ensure Supply Chain deliverables meet program timing, targets, and product development requirements

Analyst, Supply Chain Program Management

Product Manager

• Establish, communicate, and maintain a multi-year “Now, Near, Far” strategic product roadmap for North America Inbound Logistics technology
• Define target-state architectures to rationalize, modernize, and decommission fragmented legacy logistics applications
• Evaluate, pilot, and scale Autonomous Mobile Robots (AMRs) and Agentic AI capabilities
• Establish business KPIs and OKRs for logistics performance and ROI
• Oversee logistics applications including YMS, ILSL, Premium Portal, DETC, and TMS
• Define scope, data flows, and technical integration requirements across plant, vendor, and enterprise platforms
• Align with Enterprise Architecture on secure, scalable data exchanges using APIs, event streams, and EDI
• Lead cross-functional software delivery teams through the product development lifecycle using Agile/Scrum
• Own and prioritize the product backlog; author epics, user stories, and acceptance criteria; lead sprint ceremonies
• Manage rollout plans, system integration testing, cutover execution, pilot deployments, and hypercare support
• Provide technical leadership during weekend go-lives or plant shutdown windows
• Collaborate with software vendors, system integrators, and equipment partners
• Establish and enforce SLAs, performance metrics, contract deliverables, and release cycles
• Evaluate vendor releases and plan platform upgrades and enhancements
• Complete SIT, Dynatrace alerting capabilities, and ServiceNow MTTA/MTTR requirements
• Conduct plant-floor gemba walks to understand material flows, JIT/JIS constraints, and dock bottlenecks
• Partner with MP&L, plant operations, industrial engineering, carriers, and compliance teams
• Develop SOPs, training materials, and feedback loops for change management and user adoption

Product Manager, Inbound

Electrical Engineer

• Work cross functionally with designers, engineers and fabricators to develop functional electronic and mechatronics prototypes
• Design and develop prototype electronic circuits, systems, and components
• Execute wiring, testing and debugging of electrical systems and subsystems, including EMI/EMF mitigation
• Integrate prototype systems into production hardware and software
• Design and develop custom PCBs to support in-vehicle technologies and support product sourcing as required
• Understand and support project timelines to ensure successful project delivery
• Develop operating procedures and training material for seamless handoffs of prototype assets
• Support demonstrations of prototype systems, including senior leadership reviews and research and media events
• Stay updated with advancements in electronics technology and integrate appropriate innovations into projects

Electronics Engineering Technologist

Analyst

• Work with the Ascent and Pega tools
• Protect daily and weekly production schedules by responding to plant needs and supporting operating plans without remix or production losses
• Identify operational efficiencies and expand evaluation of supply risks using new tools
• Seek and mitigate premium costs; improve processes and lead initiatives to reduce premium costs with the MP&L Logistics organization
• Communicate and quantify risks, escalating to leadership and reporting issues, solutions, and assistance needs
• Collaborate cross-functionally with Purchasing, Supplier Technical Assistance, Supplier Operations Team, Product Development, and plants
• Manage critical suppliers and accountability to Ford supplier expectations and Global Terms

Fulfillment Analyst

Full-stack Engineer

• Coordinate software development efforts to align with defined requirements and integrate system components such as EVSE and inverter
• Design, develop, and test embedded software according to coding standards and MISRA C and V-cycle practices
• Develop software for safety-critical components, including battery protections
• Define test cases with the test team and provide detailed requirements and supporting documentation
• Contribute to algorithms and controls development for power electronics modules, including DCDC converters and onboard chargers
• Verify algorithm performance and reliability by testing power converters on high-voltage test benches
• Extract and document component-level requirements for battery management systems and power electronics
• Collaborate with hardware, firmware, systems engineering, mechanical, and functional safety teams
• Participate in firmware, hardware, system, and functional safety reviews
• Develop and optimize calibration parameters to improve safety and performance
• Participate in functional safety and failure-avoidance analyses, including HARA and FMEAs

Senior Software Engineer

• Build and modify 3D surfaces and geometry to translate aerodynamic design intent and CFD/wind tunnel feedback into usable CAD models
• Design mechanical components, brackets, and mounting hardware to integrate aero devices and instrumentation onto full-scale and scale-model vehicles
• Prepare and optimize CAD geometry for rapid prototyping, including 3D printing/additive manufacturing, of scale models for wind tunnel testing
• Rapidly iterate surface and mechanical geometry to support quick-turn CFD studies, wind tunnel builds, and aero correlation loops
• Manage CAD/surfacing content lifecycle within the PLM structure using Teamcenter/3DX to keep aero and design teams aligned
• Support the Motorsports Aerodynamics group by translating aero performance targets into precise, CFD-ready 3D surfaces and physical hardware
• Work with aerodynamicists to convert wind tunnel and simulation findings into geometry for evaluation, iteration, and validation
• Design mechanical components and mounting hardware and prepare geometry for rapid prototyping of scale models used in the wind tunnel program

Aerodynamics CAD Engineer

Solutions Engineer

• Collaborate with Engineering, Design, and Manufacturing teams to develop engineering solutions enabling integrated vehicle systems, efficient manufacturing processes, and key styling themes
• Develop and prototype concepts that improve product cost, mass, efficiency, manufacturability, serviceability, and user experience
• Drive cross-functional product architecture trades between vehicle subsystems, including interiors, closures, chassis, thermal, powertrain, and electrical distribution, to determine product direction
• Identify and resolve geometrical incompatibilities between systems through first principles and concept 3D
• Collaborate with engineers, designers, technicians, and suppliers to procure and build physical properties
• Travel domestically up to 20%

Senior Vehicle Integration Engineer

Product Marketing

• Provide marketing input and support to the cycle planning process, including product concepting and content development for future Mustang programs
• Support pricing and volume strategy, competitive set analysis, and target customer selection to inform product and market positioning
• Contribute to the market equation, nomenclature, and branding decisions that define how Mustang shows up in the marketplace
• Lead the development and execution of marketing campaigns that elevate the Mustang brand across all channels
• Partner closely with Communications and the Mustang Brand Manager to ensure consistent, compelling storytelling from product concept through launch and clearly express the Ford Racing narrative
• Work closely with the Ford Blue Product Marketing Team, Mustang Brand Manager, Ford Blue Communications, and cross-functional product teams

On-Road Product Marketing Manager

• Perform gasoline engine calibration and controls development for professional and customer racing vehicles.
• Support dynamometer and track-based hardware selection and engine mapping with multiple engine control systems, including production Ford, Bosch Motorsports, MoTeC, and New Eagle.
• Develop simulation environments for HiL, SiL, and DiL testing.
• Support track testing as required.
• Modify production control strategies as required to meet vehicle attributes.
• Innovate new technologies within the boundaries imposed by appropriate race sanctioning bodies.
• Complete multiple rotational job assignments over 24–36 months before concluding in a calibration and controls group role in the motorsports powertrain department.

Motorsports Calibration Engineer – Rotational

Data Engineer

• Design, develop, and maintain scalable data ingestion and curation pipelines from diverse sources
• Standardize data and ensure it is high-quality and optimized for analytical use
• Build robust data pipelines using Python, SQL, and DBT/Dataform
• Contribute to seamless end-to-end development and reliable data flow from source to insight
• Build and manage GCP data platforms using BigQuery, Dataflow, Pub/Sub, and Cloud Functions
• Implement data governance policies, access controls, and GCP security best practices
• Use Astronomer and Terraform for workflow management and cloud infrastructure provisioning
• Monitor and improve pipeline and storage performance, scalability, efficiency, resource utilization, and cost-effectiveness
• Collaborate with data architects, application architects, service owners, and cross-functional teams
• Automate data platform processes to improve reliability and data quality
• Communicate technical decisions to technical and non-technical stakeholders
• Identify opportunities to improve the data platform using industry trends and emerging technologies
• Translate business requirements into optimized data asset designs and efficient code
• Develop comprehensive data engineering documentation and promote knowledge sharing

Full Stack Data Engineer

• Generate autocode for MBD software supporting ADAS feature development
• Handle specifications, model and code implementation, verification, and validation
• Work with feature owners to understand and review requirements and system-level interactions
• Support feature owners with model development activities
• Implement MBD software robustness disciplines and best practices for optimal, efficient code generation
• Review code-generation reports, test reports, and static code analysis, resolving identified issues
• Analyze and review autogenerated code and check optimizations
• Collaborate with testing teams to expand CAE procedures and reduce dependence on vehicle-level testing
• Understand sensor and system performance requirements and limitations
• Develop robust designs, identify improvements, recognize trade-offs, and make design decisions
• Support software signoff, including calibration tuning, for all vehicle programs

ADAS MBD Software – Autocode Engineer

Data Scientist

• Own the end-to-end lifecycle of complex predictive models and optimization frameworks, including scheduled updates, continuous improvement, and maintenance
• Serve as subject matter expert for analytical products, ensuring accuracy of underlying data, calculation logic, and business assumptions
• Transition analytical frameworks into production-ready assets through deployment automation, operational stability, and clean, modular, well-documented code
• Explore agentic AI and LLM-based tools to improve modeling workflows or analytical delivery
• Partner with business stakeholders to understand evolving needs and convert ambiguous business problems into well-defined analytical problems
• Communicate quantitative concepts into clear, actionable insights for technical peers and business partners
• Execute rapid-response, ad-hoc analytical requests for time-sensitive strategic decision-making
• Partner with data engineering, AI/ML engineering, and other analytics product teams within Yield Management
• Develop and maintain sophisticated modeling and optimization capabilities for vehicle pricing, incentive strategy, and portfolio risk
• Build predictive models, optimization frameworks, Python Dash applications, and run scenarios supporting strategic decisions in variable marketing and pricing