Top Tech Jobs & Startup Jobs in Charlotte, NC

Design and develop powertrain systems and components for motorsports and high-performance vehicles. Create 3D parametric models and 2D manufacturing drawings in CATIA V5, manage CAD data in Teamcenter, construct powertrain BOMs, and collaborate with suppliers, race teams, and sanctioning bodies.

Develop and integrate vehicle dynamics simulation and DiL models, run simulator sessions, analyze track and test data, collaborate with race teams to optimize race car setups, and improve simulation and simulator tools to maximize on-track performance.

Lead end-to-end Wheel Force Transducer (WFT) and tire testing across 12–14 racetracks per year. Calibrate equipment, run trackside DAQ and networks, identify and resolve sensor/data issues in real time, post-process large datasets, develop/maintain software and tire databases, correlate simulations with track data, support DiL sessions, and collaborate with tire modeling, aero, and partner teams.

Lead and grow Ford Racing's simulation tools team, manage DiL simulator operations and budgets, integrate multidisciplinary vehicle models (dynamics, aero, power unit, controls, tires), deploy AI and advanced analytical tools, enable cross-series tech transfer, and drive global simulator facility expansion and asset alignment.

Lead Ford Racing's Performance Engineering team overseeing vehicle dynamics, aerodynamics, simulation, trackside engineering, and data analysis. Drive race-to-road technology transfer, manage budgets and resources, coordinate cross-functional vehicle systems (powertrain, eDrive, chassis), direct CFD and wind-tunnel development, and lead DiL, lap time simulation, and telemetry-driven performance strategies to maximize competitiveness.

Lead modernization of the Variable Marketing & Incentives AI platform: define strategy, lead discovery and roadmaps, partner with dealers and engineering, leverage data and AI to optimize incentives, drive migration and operational controls, define success metrics, and deliver executive-aligned materials to ensure measurable business impact.

Lead the architecture and implementation of scalable, distributed data and AI platforms on GCP. Design real-time and batch pipelines, integrate LLMs and vector search, define data models and API standards, optimize cloud infrastructure, enforce CI/CD and observability, and mentor senior engineers to drive product-led AI solutions at scale.

Provide regulatory legal advice on the Motor Vehicle Safety Act and FMVSS compliance, evaluate potential safety recalls, draft and review documents for NHTSA, participate in cross-functional safety and product development meetings, and perform targeted legal research to support regulatory submissions and Ford's compliance with NHTSA orders.

Drive procurement of indirect software and services through data analysis, sourcing (RFI/RFP/RFQ), contract negotiation (SOWs/SLAs), supplier relationship management, onboarding due diligence, and category roadmap development to deliver cost savings and mitigate risk.

Own integrated execution across the data-to-reporting value stream: maintain unified schedules, dependencies, risks and readiness; drive Jira and Agile delivery hygiene; facilitate cross-team collaboration from requirements through UAT; manage critical path, release planning, and leadership reporting to ensure data/reporting launch readiness.