The role involves owning product cybersecurity frameworks and maturity models to assess program health and prioritize improvements. You will coordinate high-value initiatives and partner with leadership to deliver effective cybersecurity services to internal customers.
The National Account Manager will own the business relationship and results for AutoZone, driving sales growth and product expansion. They will coordinate across internal departments like Finance, Supply Chain, and Marketing to manage vendor agreements and resolve complex customer issues.
Build strategic relationships with dealerships and coach their leaders and staff to improve performance, meet sales goals, and grow sales of GM vehicles, products, and services. Analyze sales and market data, support product and program launches, optimize inventory and ordering, resolve concerns, and ensure dealership execution of GM initiatives across the territory.
The E-Team Consultant provides live and remote technical support to dealers and TAC consultants for complex vehicle diagnostic cases. They also partner with Engineering and Quality teams to identify, document, and resolve emerging product issues.
Design, implement, and maintain software components for internal test creation platforms and automated simulation pipelines. Develop tools to support the testing of machine learning-based perception and planning systems while analyzing simulation failure cases.
The District Manager is responsible for driving aftersales performance, revenue growth, and customer satisfaction across a defined region. They act as a strategic advisor to dealership leadership, leveraging data to implement operational improvements and execute GM initiatives.
The District Sales Manager serves as the primary liaison between GM and dealerships to drive business performance, sales growth, and EV adoption. They provide consultative coaching to dealership leadership and analyze performance metrics to ensure alignment with organizational sales goals.
Develop and test Digital Key Services using industry best practices and collaborate with cross-functional teams to deliver platform solutions. Coordinate deployment, monitor system performance, and provide training for new or modified application code.
Provide on-site and remote technical support to GM dealerships, diagnose and resolve vehicle issues, manage escalated cases, and help prevent repurchases and reduce warranty costs. Maintain dealership and GM stakeholder relationships, assess service readiness and comeback processes, deliver training, and report product-quality findings to GM teams.
Lead the exploration and definition of future digital experience paradigms across web and mobile platforms. Collaborate with cross-functional teams to translate emerging technologies and behaviors into actionable, brand-aligned design concepts.
Diagnose customer vehicle issues, direct repairs, and provide technical support for escalated cases to help reduce vehicle repurchases and warranty expenses. Support dealership service readiness, Techline products, authorized repair facilities, and certain GM fleet accounts while managing territory needs.
The District Sales Manager serves as the primary liaison between GM and dealerships to drive sales performance, growth, and EV adoption. They provide consultative coaching to dealership leadership and analyze market trends to implement strategies that improve operational performance.
You will develop and maintain a scalable, framework-agnostic design system using Stencil to support consistent experiences across multiple products. Additionally, you will integrate AI capabilities into design workflows and collaborate with engineering teams to ensure high performance and accessibility standards.
Define and lead corporate software strategy for complex features while providing technical leadership to execution teams. Oversee design analysis, integration, and verification testing for software builds.
The role involves leading simulation release processes, quality strategies, and test automation to ensure high-confidence releases. You will also design scalable architectures and improve the reliability, performance, and operational monitoring of simulation frameworks.
You will lead the strategy and execution for defining, measuring, and validating the safety of SAE Level 3-4 automated driving systems. This involves managing a high-performing team and collaborating across departments to ensure safety performance indicators and launch readiness.
Define and implement scalable evaluation and validation processes for autonomous vehicle software using simulation and on-road data. Collaborate with cross-functional teams to identify performance metrics, conduct root-cause analysis, and communicate data-driven insights to stakeholders.
Develop scalable frameworks and quantitative methods to measure confidence in autonomous vehicle validation results across simulation and real-world testing. Build data pipelines and tools to analyze test performance, identify regressions, and support release decisions through defensible criteria.
You will lead the strategy and execution for defining, measuring, and validating the safety of SAE Level 3-4 automated driving systems. This involves owning the behavior-focused safety case and collaborating across cross-functional teams to ensure launch readiness for next-generation products.
Architect and implement metrics and analysis algorithms to evaluate autonomous driving software performance across the autonomy stack. Develop and maintain evaluation dashboards and reports to provide actionable insights for engineering and leadership teams.
You will build and optimize the rendering infrastructure for physically-based sensor simulation to support autonomous vehicle development at scale. This involves connecting renderers to AV stacks, ensuring deterministic execution, and maximizing performance across compute clusters.
You will advance the light transport, materials, and sensor-imaging pipelines for a GPU-accelerated, physically-based sensor simulator. Your work will directly impact the quality of synthetic data used for training and validating autonomous vehicle perception and planning systems.
You will architect and optimize large-scale simulation testing pipelines to validate autonomous vehicle software behavior. Additionally, you will lead the integration of AI-powered tools to automate test creation and drive technical roadmaps across cross-functional teams.
Define the survivability strategy and roadmap for GM Defense to align with mission needs and customer expectations. Lead the development of technical requirements, trade studies, and integration recommendations to embed survivability into product architecture.
Lead the design and implementation of AI/ML solutions for future sensing architectures and multi-modal sensor fusion in autonomous vehicles. Drive technical execution from prototyping to production, while mentoring engineers and defining system-level performance metrics.
Develop and evaluate AI/ML solutions for future sensing and perception to support safe autonomous vehicle behavior. Collaborate with cross-functional teams to translate research into production-ready models for object detection, tracking, and sensor fusion.
The Senior Security Software Engineer will own the architecture and delivery of complex integration services, including APIs and microservices, while building AI-driven workflows to augment security investigations and orchestration. Responsibilities also include creating reusable connectors between security tools and cloud telemetry, implementing security automation, and mentoring other engineers.
This role involves designing, developing, and maintaining security-focused platforms using languages like C++ and Rust, while integrating modern development processes like CI/CD and DevOps. The engineer will also collaborate with SecOps teams to implement advanced monitoring and detection solutions and architect secure, scalable cloud environments.
The role involves developing simulation frameworks for validating the autonomous driving software stack. The engineer will also work on the gym environment for reinforcement learning model training.
The District Manager, OnStar & Loyalty engages dealers through regular contacts and business reviews, focusing on promoting and supporting GM software and subscriptions. This role involves building relationships with dealer partners and conducting training to drive adoption and sales of various GM products.
The Retail Innovation Manager will lead the enrollment, launch, and facilitation of major retail initiatives and drive the execution of GM’s broader retail strategy. This role focuses on creating a customer- and dealer-centric retail experience by integrating innovative technologies and solutions.
