The Senior Software Engineer will create, maintain, and evolve CI/CD processes to improve pipeline reliability and performance for autonomous driving features. They will also lead complex cross-team projects, mentor other engineers, and drive software engineering best practices across the organization.
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.
The Senior Manager will lead the strategy and execution of AI model performance and on-vehicle inference for autonomous driving. They are responsible for establishing performance budgets, guiding model optimization, and managing a high-performing engineering team.
The Manager, Strategic Accounts is responsible for developing and executing account strategies to drive growth within the defense industrial base. This role involves leading cross-functional teams to manage customer relationships, identify new business opportunities, and oversee program execution.
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.
The District Manager is responsible for leading and influencing dealers to achieve retail sales, market share, and revenue goals. They will also focus on improving customer satisfaction and driving performance in areas such as accessory sales, service, and leasing.
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.
The Media Performance Strategist manages end-to-end media measurement and insight delivery for GM Corporate Brands to drive business goals. They lead the development of marketing mix modeling and attribution frameworks to provide actionable recommendations for media strategy and budget optimization.
Lead a cross-functional squad to develop and execute analytics-driven marketing solutions for the Customer Care and Aftersales brand. Act as the primary liaison between brand stakeholders and technical teams to translate complex data into actionable strategic recommendations.
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.
Design and build scalable, high-performance AI/ML platform infrastructure to support advanced research and model development. Optimize distributed training workflows and resource utilization across heterogeneous hardware to reduce costs and improve performance.
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.
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.
Lead the technical strategy for developer productivity tools and the implementation of 'golden paths' to streamline software delivery. Drive the transition to an AI-native engineering organization by embedding AI agents and copilots into developer workflows.
This role involves leading the strategy and execution for defining, measuring, and validating the safety of SAE Level 3-4 Automated Driving Systems powered by machine-learned models, owning the behavior-focused portion of the ADS Safety Case. Responsibilities include defining validation methodologies, assessing performance across various data sources, and ensuring launch readiness by verifying sufficiency criteria and safety targets.
This role involves leading the strategy and execution for defining, measuring, and validating the safety of SAE Level 3-4 Automated Driving Systems powered by machine-learned models. The engineer will own the behavior-focused portion of the ADS Safety Case, collaborating across teams to define validation methodologies and assess performance using various data sources.
The engineer will own the end-to-end pipeline for safety-critical ML perception models, focusing on enabling the vehicle to accurately see, classify, and track environmental elements like road markings and vulnerable road users. Key tasks include designing and deploying deep learning models for 3D object detection, sensor fusion, and optimizing performance for real-time embedded hardware.
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.
