Ford Motor Company

QA Engineer

• Lead the design, planning, and execution of test methods and automation scripts for requirements verification purposes, at multiple integration / solution levels
• Lead incidents triage, performs root cause analysis, and designs Preventive Actions
• Use Test Management tools for test planning creation, execution, monitoring, and reporting of Test Results
• Perform testing in complex multi-ECU test setups or test vehicles
• Troubleshoot vehicle network issues related to the Infotainment ECU
• Use defect management tools for defect creation, and monitoring resolution
• Proven expert with Automation tools & strategies, contributing with mentorship and coaching to colleagues
• Follow and promote code artisanship best practices, quality and security standards, and contribute to the improvement of them
• Understand and apply industry Software Quality Assurance standards (ASPICE, ISTQB, ASAM, INCOSE, etc.)

Software Integration Tester

Graphics Designer

• Lead the end-to-end creation and maintenance of Brand Standard Decks.
• Translate abstract design concepts and market insights into concrete, written standards for typography, color, iconography, and layout.
• Transform complex business challenges and customer insights into simple, intuitive, and tangible visual identities that inform the future of our products.
• Build and maintain scalable design systems and Figma libraries that empower cross-functional teams to execute with speed and brand alignment.
• Navigate ambiguity in evolving environments, connecting customer needs and business strategy to maintain a clear, long-term design direction.
• Execute world-class brand identities across both physical and digital applications, ensuring a seamless experience across our global portfolio.
• Stay ahead of design trends and emerging technologies. Constantly experiment with new visual and verbal tones, prioritizing technical precision and high-level storytelling.
• Maintain the highest standards of graphic design, ensuring that every touchpoint—from print to motion to web—reflects the brand’s core values.
• Proactively monitor the application of brand standards globally. Conduct audits and provide documented feedback to ensure all touchpoints align with established standards.
• Act as the lead custodian of the Design Brand Archive and Library, ensuring all historical references, templates, and assets are meticulously organized and searchable.
• Bridge the gap between brand strategy and product execution by collaborating consistently with product design teams and subject matter experts.
• Create comprehensive presentations and prototypes that tell a project’s story, enabling co-creation and alignment among senior leadership and stakeholders.

Senior Brand/Graphic Designer

Manager

• Lead the end-to-end design and evolution of global talent programs, ensuring alignment with the company's overall talent strategy, industry best practices, and business priorities.
• Manage the full lifecycle of talent programs from conceptualization to continuous improvement, including developing comprehensive change management strategies and leveraging HR technology solutions (e.g., Oracle HCM, Visier) for optimal impact.
• Oversee the successful global rollout and adoption of talent programs, providing effective communication, training, and acting as a subject matter expert and trusted advisor to regional HR teams and HR Business Partners.
• Establish robust program governance structures, define and track key metrics and KPIs to measure program effectiveness, analyze data for continuous optimization, and manage relationships with external vendors.
• Build and maintain strong, collaborative relationships with diverse stakeholders across all levels and functions, effectively influencing decision-making and gaining buy-in for program initiatives within a matrixed global organization.

Manager, Talent & Organization Development

Program Manager

• Collaborate with and support team leads in delivering the highest level of trust-building and strategic counsel through all project interactions
• Document and implement end-to-end repeatable processes that help the team plan, manage, and deliver
• Identify team needs with regards to process, tools, documentation, capacity, data and asset management, and educate leadership in order to bring changes to ensure designers and developers are working efficiently
• Act as a bridge across cross functional teams, connecting them and facilitating clear communication, ensuring interdependencies are understood and planned for
• Act as a design team advocate, working with Design Systems, Quality Assurance, and enterprise stakeholders to hold quality to the highest bar
• Communicate project status with team, stakeholders and senior management regularly (with visuals and data)
• Work with management and across teams to understand, coordinate, and prioritize initiatives
• Anticipate bottlenecks, provide escalation management, and articulate risks, trade-offs, and recommend prioritization based on a balance of business needs and constraints, capacity, and customer impact
• Guide design projects from pitch to completion by facilitating team productivity, advising on deadlines, managing expectations, and providing communication between teams and stakeholders
• Support design teams to scope new product initiatives, identify priorities, and deliver key projects, that have multiple stakeholders and moving parts
• Facilitate meetings to drive progress against goals and objectives, establishing clear next steps and owners, and resolving blocks that impede progress
• Proactively assess risk and resolve issues before they become problems for the larger teams
• Measure impact and operational efficiency of programs and initiatives both qualitatively and quantitatively
• Support the management team with effective team communication, proactive problem solving, data driven insights and information distribution

Design Program Manager

Operations

• Aid delivery of all features on all programs, with quality and efficiency.
• Organize and improve the fundamentals of our ADAS program delivery system.
• Maintain a capable and efficient ADAS testing operation, inclusive of staff, equipment and facilities.
• Develop software tools and automation to streamline DV testing.
• Aid root causing and troubleshooting integration problems related to ADAS hardware such as radars, ultrasonic park aid, cameras and ADAS ECU’s.
• Prepare for the future and maintain readiness for all program DV and OTA delivery.
• Domestic and International Travel Required up to 10%.

ADAS V&V Test Operations Supervisor

Engineer

• A Vehicle Thermal Systems CAE Engineer is responsible for analyzing the vehicle climate system that cools and heats the vehicle cabin and battery.
• The engineer will use various CAE methods to quantify component and system level design impacts on climate system performance and power consumption.
• Specific studies may include vehicle level climate performance predictions, refrigerant subsystem analysis, heater subsystem analysis, front end airflow, power consumption analysis, and review of physical test data.
• Domestic Travel Required up to 10%.

Vehicle Thermal Systems CAE Engineer

Mechanical Engineer

• Manage all global releases of FCSD’s Integrated Diagnostic Software (IDS) dealership software application.
• Coordinate the timely resolution to diagnostic software issues preventing technicians from fixing customer vehicles. Often being able to identify key stakeholders that are responsible for root cause of the issue.
• Provide customer concern support to the Technical Assistance Centers (TAC) & Field Service Engineers (FSEs) and Software Verification Teams for software failure and/or data issues impacting customer vehicle performance.
• Oversee and sometimes lead development of detailed resolution plans for specific software bugs holding up technicians.
• Apply XML tools to develop/debug service procedures and analyze/debug back-end data quality.
• Create interim containment actions to address customers vehicle while permanent corrective actions are created then implemented.
• Work closely with Product Development engineers and teams to ensure issues impacting service technicians are understood and properly prioritized and actioned.
• Assure correct data support of software applications
• Collaborate with Software/Hardware Designer/Supplier to assure design intent is met.
• Validation performed using both simulation tools and on vehicle validation.
• Liaise with Product Development Data customers to ensure back-end data accuracy.

Product Design Engineer

Designer

• Comply with Program cost, weight, quality, performance and timing targets (Waterfall process)
• Understand GPDS (Global Product Development System) and create plans to deliver on time.
• Comply with Robustness Engineering Disciplines (Failure Mode Avoidance Tools)
• Knowledge and application of six sigma and 8D (Green Belt).
• Develop ESOW (Engineering Statement of Work), EC (Engineering concepts) and participate in the Sourcing Process (SOBA, ED&T review, piece and tooling cost review and CPA)
• Develop Design Validation & Production Verification plans and manage validation testing to support Engineering Milestone signoffs.
• Actively participate in the Technical Design Reviews
• Release parts in AVBOM and WERS through the product life cycle. Support the Change Control Meeting.
• Audit and update BOM (Bill of Material) with correct part levels and usage, for prototype builds and maintain it post Job 1.
• Be aware of Worldwide Engineering changes and proceed accordingly
• Identify validation, durability and functional test required as per SDS & ES. (DVP / eFDVS)
• Leverage AIMS root cause analysis and permanent actions implementation.
• Define and verify engineering prototypes requirements at part level.
• Parts implementation/Sign-off at assembly plant & assistance with quality issues in all milestones.
• PDL's revisions and proceed accordingly if affected
• Support VQR's, VRT's and PVT, as required.
• Collaborate with STA with technical assistance through the Supplier Engagement Process
• Deliver by applying the One Ford Behaviors.
• Travel to VO & Supplier locations as required.

Product Development Engineer – Air Induction Systems, Design & Release

Product Designer

• As a key member of our Manufacturing I.T. team, you will play a critical part in shaping the future of Ford’s mobility and electrification efforts.
• You will be part of a team of dedicated software professionals that will help us to iteratively build and ship high-quality software products to help our customers build quality vehicles.
• Lead the design process from initial discovery and user research through to high-fidelity prototyping, testing, and developer handoff.
• Plan and conduct qualitative and quantitative research (interviews, surveys, heuristic evaluations, usability testing, and stakeholder workshops) to uncover user needs and align cross-functional teams.
• Build, scale, and document comprehensive design systems and reusable component libraries in Figma to ensure visual consistency and accelerate development cycles.
• Create clear user flows, site maps, wireframes, and interactive prototypes that simplify complex workflows and optimize digital experiences.
• Advocate for and implement inclusive design practices, ensuring all digital products comply with WCAG accessibility standards.
• Partner closely with Product Managers to align design strategy with business goals, and work hand-in-hand with Front-End Engineers to ensure design feasibility and high-quality implementation.
• Analyze user feedback, behavioral data, and usability metrics to continuously iterate and improve product engagement, conversion, and task success rates.

IT Product Designer

Full-stack Engineer

• Lead Complex System Investigations: Direct the technical root-cause analysis, triage, isolation, and resolution of critical, hard-to-reproduce software failures and bug reports occurring intermittently in production environments.
• Deep-Dive Low-Level Diagnostics: Master the investigation of system logs, core dumps, memory leaks, and corruptions to trace transient defects, multi-threaded bottlenecks, IPC deadlocks, and system crashes across compute-constrained ECU platforms.
• Target IVI & Back-End Triage: Isolate complex software defects primarily originating within the IVI platform, tracing dependencies through microservices and external back-end APIs that interface with the vehicle.
• AI-Driven Diagnostics & Knowledge Training: Utilize advanced AI tools, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) to accelerate trace parsing, while documenting analytical approaches to train diagnostic models for improved automated insights.
• Vehicle Communication & Protocol Analysis: Analyze vehicle bus communications using CAN, Ethernet, and other automotive protocols to isolate data mismatches, timing issues, and trace signal transmission across distributed ECUs.
• Diagnostic Tools & DTC Tracking: Utilize specialized automotive diagnostic tools to read, interpret, and resolve Diagnostic Trouble Codes (DTCs), tracking issues from electronic symptoms to specific source code line failures.
• In-Vehicle Validation & Testing: Conduct direct vehicle-level validation, hardware-in-the-loop (HIL) testing, and physical bench setups to verify software behavior, replicate production artifacts, and guarantee real-time reliability and performance on target embedded hardware.
• Manage Polyglot, Full-Stack Multi-Component Ecosystems: Leverage broad technical mastery spanning high-level web frameworks (JavaScript/React HMI), backend services, databases, and low-level native embedded software (C/C++) to implement, optimize, navigate, and trace bugs across diverse repositories and subsystems.
• Source Code & Documentation Mastery: Audit, optimize, implement, and maintain critical codebases for embedded platforms while authoring detailed technical documentation, architectural specifications, and long-term engineering blueprints.
• Modern SDLC & Technical Governance: Operate within modern, scaled SDLC and Agile/Scrum environments to contribute to structural architectural decisions, review high-level designs (HLD), establish strict acceptance criteria, and drive software quality and maintainability.
• Feature Dependency & Lifecycle Management: Define and manage complex feature dependencies, blockers, and risk registers across HMI, services, platform components, and validation to prevent software regressions across program lifecycles.
• Cross-Functional & Cross-Cultural Alignment: Act as the core technical lead for multi-project defect investigations, driving technical consensus across internal global teams, hardware engineering, validation, product owners, Tier-1 suppliers, and third-party OS providers (such as QNX).
• Team Mentorship & Quality Leadership: Elevate overall engineering capabilities by leading comprehensive code reviews, establishing technical onboarding processes, mentoring other engineers, and conducting core technical interviews.

Senior Full Stack Software Developer

Administration

• Jira Administration & Process Optimization:
• Workflow & Form Modernization: Modernize Jira forms and processes for critical ticket types (e.g., CODEMASK), enhancing data capture, filtering, and reporting capabilities.
• Process Definition & Implementation: Maintain and modernize current design processes through the development and implementation of new Jira processes and templates for various activities, including DCV testing and work breakdown.
• Configuration & Standards: Update and enforce "Definition of Done" (DoD) criteria within Jira projects to ensure the quality and completeness of deliverables, providing feedback to Subject Matter Experts (SMEs) on complex items.
• User Support & Management: Manage personal Jira backlogs, sprint cadences, and provide troubleshooting support for user access issues.
• Dashboard Creation & Data Visualization:
• Comprehensive Dashboard Development: Design, build, and curate multiple dashboards for Technical Design Review (TDR) and Business Process Review (BPR), including specialized dashboards for specific programs (e.g., Otosan), and maintain/update them as needed.
• Data Integration & Reporting: Utilize Power Query to combine disparate data sources, enabling comprehensive tracking and analysis for reporting.
• Interactive Data Visualization: Create interactive data visualizations in PowerBI to track program timing, milestones, and key performance indicators.
• Confluence Integration: Embed Jira dashboard widgets into Confluence pages to provide integrated program status views.
• Ongoing Initiatives & Future Focus:
• Jira Structure & Governance: Actively participate in discussions and the implementation of significant Jira structure changes, including project consolidation, custom field integration, and workflow best practices.
• Advanced Reporting & Analytics: Investigate further enhancements to BPR and Chief Review dashboards, exploring direct data integration from source systems (e.g., EIS) for roll-up reporting.
• Process Refinement: Develop solutions for complex process challenges within Jira, such as managing schematic development churn and updating timing review.

Jira Administration Engineer

Data Scientist

• Guide, mentor, and support a team of 4–6 AI/ML engineers and data scientists, overseeing daily standups, sprint planning, and code reviews.
• Lead the hands-on development, testing, and deployment of predictive models, time-series forecasting, and optimization algorithms.
• Directly oversee the development, maintenance, and refinement of demand sensing algorithms to support sales and operations planning (S&OP) and optimize yield.
• Drive the practical integration and deployment of Agentic AI solutions to automate complex workflows and operational processes.
• Ensure the team builds robust, automated pipelines for data ingestion, model training, deployment, monitoring, and retraining in production environments.
• Establish and enforce best practices for clean code, model versioning, comprehensive documentation, and system scalability.
• Maintain rigorous standards for data integrity and model validation, ensuring all solutions adhere to ethical and responsible AI guidelines.
• Partner with product managers, software engineers, and business analysts to translate functional requirements into technical specifications.
• Manage project timelines, unblock technical hurdles, and regularly communicate project status and technical milestones to the Senior Manager.

Manager, Yield Management – GTM AA Data Scientist

Product Marketing

• Lead the design, validation, deployment, and monitoring of production-grade AI/ML solutions (e.g., predictive modeling, forecasting, optimization, and segmentation).
• Lead the development, maintenance, and optimization of advanced demand sensing algorithms to support sales and operations planning (S&OP) and yield management.
• Drive the strategic AI/ML roadmap, identifying innovative use cases—including Agentic AI for workflow automation—to deliver significant business value.
• Foster a culture of rapid prototyping and rigorous testing to quickly validate the business utility of new AI/ML applications.
• Evaluate and adopt emerging AI/ML platforms, frameworks, and methodologies to enhance solution efficiency, scalability, and performance.
• Establish and enforce robust MLOps practices, model governance, version control, and comprehensive documentation to ensure seamless deployment and retraining.
• Champion ethical AI principles, ensuring fairness, transparency, and data privacy are embedded across the model lifecycle.
• Oversee data management practices (sourcing, cleaning, preprocessing) to ensure high-quality data pipelines for all AI/ML models.
• Act as the primary liaison between technical teams and business stakeholders (Sales & Marketing, Finance, IT) to align AI/ML initiatives with corporate strategy.
• Translate complex algorithmic concepts and technical outcomes into clear, actionable insights and recommendations for executive leadership.
• Guide and mentor data scientists and AI/ML engineers in technical execution, professional growth, and stakeholder management.

Senior Manager, Yield Management – GTM Advanced Analytics

• Lead the development and delivery of an in-house design and manufacturing process for suspension structural parts (stampings, castings, forgings), internalizing responsibilities
• Develop and maintain the Suspension Structural Component internal engineering foundation documents including design guides, design rules (DR’s), Requirements (RQTs), and interface contracts/agreements.
• Create and manage Level 2 technical materials including Process FMEAs, Control Plans, Safe Launch Control Plans, and Sub-component BOMs.
• Lead Design for Manufacturing (DFM) and Design for Assembly (DFA) feasibility reviews prior to tool kickoff, ensuring designs align with tool design specifications, plant equipment compatibility, and normal process capability limits.
• Drive in-house manufacturing process simulations (e.g., stamping formability, casting solidification, forging flow) to optimize structure and ensure manufacturing process feasibility
• Lead OK to tool process with BTP supplier including approving steel purchase, OK to rough cut, and OK to finish steps.
• Conduct test facility correlation study between Ford test facility (DV) to BTP supplier facility (PV) to ensure proper validation of the structure per core ES at both locations.
• Develop component and assembly GD&T for in-house designs and sign-off program prints for BTP structural parts.
• Support prototype development process with program teams on BTP parts.
• Manage the data collection and capability analysis for Significant/Critical Characteristics (SC/CC), calculating Ppk to ensure pre-production and production capability requirements are met.
• Lead demonstrable process optimization trials and Design of Experiments (DOE) to confirm manufacturing processes are optimized.
• Develop comprehensive APQP plans, conduct OK-To-Build and OK-To-Ship reviews, and oversee Gauge R&R trials, including the review and sign-off of gauge and check fixture designs.
• Lead root cause analysis and problem resolution (8D, JIRA) for dimensional, processing, and manufacturing quality issues during launch, DV/PV testing, and production.
• Lead System-Level Integration: Direct the system-level development and integration of advanced active suspension systems, including ECU development, sensor integration, and electronically controlled dampers.
• Technical Specification & Design Control: Define system design guidelines, perform rigorous specification reviews, and author system-level Design Failure Mode and Effects Analysis (DFMEA) covering signal I/O, control modes, and hardware/software interfaces.
• Chassis Technology Roadmap Alignment: Guide the development of next-generation chassis technologies, including active dampers, air springs, and electronic roll control systems, ensuring alignment with future vehicle architecture glidepaths.

Technical Expert – Suspension Structural Component Design

• Supervise a global cross-functional team composed of data scientists, data analysts, data engineers, product designers, program managers, and software engineers.
• Provide leadership, mentorship, and guidance to ensure effective collaboration and successful delivery of analytics-driven solutions and product initiatives.
• Foster an environment of open communication and teamwork, facilitating alignment across diverse technical and business disciplines to achieve organizational goals and continuous improvement.
• Work closely with stakeholders throughout Ford Operations/Enterprise to identify opportunities to improve process optimization and efficiency via data-driven approaches.
• Lead, coordinate, and communicate work across multiple teams.
• Organize large datasets and get actionable insights for business.
• Apply data mining, data transformation, and develop statistical, optimization, and machine learning models.
• Create meaningful data visualization, outputs files and presentations to communicate findings with stakeholders.
• Work with IT to implement analytics tools into a production environment.
• Develop analytic models using skills such as data wrangling, algorithm design, prototype and deployment.
• Support cross-function teams on Reductive Design decisions with insights gained from analytics tools and visualization from the data.
• Problem formulation for Reductive Design problems.
• Acquire a deep understanding of business problems, define the problem scope from business requests and translate business requirements to analytical projects through Design Thinking.
• Work effectively with a wide range of stakeholders and functional teams.
• Interpret results and communicate them to technical and non-technical audiences, cross functional teams, and executive leadership.
• Support ad hoc requests and serve as insight provider/consultant for business units.
• Have ownership of the project, create a project plan, track project progress, and host user group meetings.
• Run efficient SQL to process TB-level datasets.
• Design a visual interface for users to interact with the data, or persuading visualization.
• Provide training and maintenance of implemented tools to stakeholders.
• Build advanced analytics models in the supply chain space.