Top Tech Jobs & Startup Jobs in Charlotte, NC

Leads aftersales performance across West Texas dealerships by driving revenue growth, customer retention, customer experience, and KPI achievement. Advises dealer leadership, executes GM Customer Care & Aftersales initiatives, develops business plans, analyzes dealership performance, recommends operational improvements, and resolves customer concerns involving warranty, goodwill, and assistance centers. The role requires automotive service and parts knowledge, Excel proficiency, frequent territory travel, and relocation or residence within the approved territory.

Leads Motorsports Data Infrastructure and Data Science teams while owning the strategy, architecture, and delivery of data platforms supporting telemetry, simulation, trackside, analytics, and AI/ML use cases. Responsibilities include managing managers, designing streaming and batch pipelines, productionizing ML models, setting engineering standards, managing Azure and Databricks capacity, protecting sensitive data, and partnering with racing and executive stakeholders. The role remains hands-on in architecture, coding, code review, incident support, and technical problem-solving.

Leads Chevrolet sales and aftersales performance across a multi-state dealer zone. Responsibilities include managing dealer relationships, coaching District Managers, driving market share and profitability, optimizing inventory, overseeing marketing and training execution, enforcing contractual standards, and implementing customer retention and growth strategies. This field-based role requires frequent travel, territory residency or relocation, automotive business expertise, and strong sales leadership.

Design and implement AI agents, plugins, automations, and enterprise integrations for HR Technology platforms. Lead requirements gathering, technical analysis, solution design, testing, documentation, deployment, security, and data integrity efforts across HR, IT, and business stakeholders. Integrate platforms including ServiceNow, Workday, and other enterprise applications while supporting the HR automation and AI roadmap.

Leads the strategy, validation, and safety assurance of Level 3–4 autonomous driving behaviors powered by machine learning. Owns behavior-related safety cases, standards alignment, ODD and evaluation frameworks, safety metrics, launch-readiness assurance, and evidence assessment across simulation, closed-course, and public-road testing. Leads cross-functional technical collaboration and builds a high-performing AV behavior safety engineering team through hiring, coaching, and development.

Develop autonomy evaluation metrics, statistical and machine-learning analyses, dashboards, and pipelines for simulation and on-road autonomous vehicle testing. Analyze perception, prediction, and planning performance; identify anomalous behavior and critical scenarios; apply VLMs and LLMs where appropriate; and support release gating and safety decisions. The role requires production Python, C++ debugging, technical leadership, cross-functional collaboration, and rigorous software engineering practices.

Define architecture and metrics for autonomous driving evaluation, lead cross-functional integration across autonomy and simulation teams, develop statistical and machine learning methods, analyze large-scale time-series data, manage evaluation KPIs and release gates, and communicate safety and readiness insights through dashboards and stakeholder presentations.

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.

Define and lead survivability strategy and roadmap for GM Defense. Determine in-house vs outsourced capabilities, establish partnerships, develop design/material/manufacturing standards, lead trade studies, define survivability requirements, guide analysis and validation approaches, assess vulnerabilities and integration risks, and work cross-functionally to embed survivability into product development.

The Technical Lead will architect and implement systems for data processing and testing workflows in the autonomous vehicle development space, optimize software engineering practices, and guide a team of engineers.