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The role involves designing and maintaining advanced HIL systems for vehicle validation, collaborating with diverse teams to enhance testing infrastructure and ensure high availability of test systems.

The Senior Fullstack Engineer will lead the architecture of a Simulation Scenario platform, implement graphical tools, optimize Python infrastructure, and mentor engineers.

Lead design, development, validation, and release of vehicle thermal management components and subsystems. Manage supplier relationships, define interface requirements, perform analytical validation (FEA/CFD/modal), coordinate cross-functional activities, resolve production issues, and drive continuous improvement to meet performance, cost, manufacturability, and quality targets.

Leads the Metrics Frameworks team responsible for scalable platforms that create, execute, and monitor autonomous vehicle evaluation metrics. Manages software and data engineers, sets technical strategy and roadmaps, oversees reliable data-processing and analysis pipelines, establishes operational metrics and service levels, and partners with engineering stakeholders. The role also drives architecture, testing, observability, incident response, platform modernization, and technical excellence across simulated and real-world driving data systems.

Manages Buick and GMC dealership relationships across the Detroit territory. Coaches dealership leadership, analyzes sales and market performance, drives vehicle and product sales, supports product launches, optimizes inventory ordering, monitors training and compliance, and resolves dealer or customer concerns. The role requires frequent field travel, territory business planning, and collaboration with GM stakeholders to improve dealership performance and customer experience.

Configure, program, test, and troubleshoot PLC-based control systems, HMIs, control panels, robots, and manufacturing equipment. Diagnose production issues, improve manufacturing processes, and support equipment design, integration, installation, launch, and continuous improvement. Collaborate with manufacturing, quality, and maintenance teams while developing solutions, user interfaces, and process improvements. Coach others and work hands-on in a high-volume automotive manufacturing environment.

Identifies and formalizes complex problems, then drives the design, development, and deployment of algorithmic solutions using artificial intelligence, machine learning, and data science techniques. The role connects business problems with data scientists and ML methods to produce actionable solutions.

Leads GM’s global automation sourcing and strategy for manufacturing and logistics. Develops automation roadmaps, commodity and supplier strategies, commercial agreements, risk mitigation plans, and standardized purchasing processes. Manages a team, establishes performance KPIs, supports manufacturing programs and launches, drives cross-functional change, and engages automation technology suppliers. The role requires significant experience in purchasing, supply chain, manufacturing engineering, automation, robotics, controls, supplier management, and global initiatives.

Provides technical leadership for scalable cloud, data, and AI foundations supporting mapping databases and software-defined vehicle experiences. Designs data platforms, pipelines, APIs, governance, observability, and cloud-native services; productionizes agentic AI workflows using enterprise knowledge sources; establishes reusable engineering patterns, security, reliability, and deployment standards; leads architecture reviews and cross-team workshops; and mentors engineers. The role requires hands-on work across distributed systems, infrastructure, data engineering, cloud platforms, and responsible AI enablement.

Design, build, and operate cloud-based CI/CD platforms and pipelines for embedded software production and virtualized testing. Develop automated build, integration, deployment, and testing workflows using cloud infrastructure, Bazel, containers, and orchestration. Integrate physical and virtual test environments, improve platform reliability and performance, troubleshoot infrastructure issues, and ensure cybersecurity compliance. Serve as a subject matter expert while collaborating with software, test, IT, cybersecurity, and supplier teams.