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Serve as plant lead for complex wiring and electrical issues affecting general assembly. Diagnose and repair wiring harness and EOL electrical quality problems using diagnostic tools and data, coordinate suppliers and engineers, create audits and standardized work, support launches and continuous improvement to protect electrical first-time quality and plant metrics.

Provide hands-on, customer-facing lifecycle support for PCs, laptops, printers, and peripherals: image/configure devices, troubleshoot and repair hardware, manage onboarding/offboarding, log work in ServiceNow, ship and track assets, meet SLAs (including Day 1 readiness), and follow GM Defense security and compliance processes.

Design, build, integrate, install and launch plant controls and robotics equipment; implement new programs, manage project milestones and report to senior management; troubleshoot and improve electrical controls systems; program PLCs/HMIs and industrial networks; support existing sites and perform field commissioning (50% domestic travel).

Own product strategy and roadmap for in-vehicle observability across logs, metrics, traces, and analytics. Align cross-functional teams, set KPIs/SLOs, prioritize platform improvements, drive adoption, and communicate impact to leadership. Balance usability, cost, and architecture across Grafana Cloud, DataDog, and Heap while ensuring actionable telemetry for engineering and curated service outputs.

Drive standardization and execution of electrical manufacturing processes across global assembly plants by implementing Bill of Operations standards, solving production quality issues, using EFTQ/warranty data to prioritize improvements, and leading cross-functional corrective actions to improve first-time quality and reduce warranty.

Design and implement scalable ML infrastructure solutions, mentor junior engineers, own technical projects, and collaborate across teams to solve complex AI/ML problems.

Develop embedded software for vehicle software-update functions using C/C++ in various environments. Collaborate with teams, perform testing, and resolve issues to enhance vehicle software.

Design and build end-to-end software products for autonomous vehicles, leading projects in full-stack development, cloud infrastructure, and machine learning pipelines while mentoring junior engineers.

The Principal AI/ML Engineer will lead the AV ML Infra team at GM, focusing on developing scalable ML infrastructure and guiding cross-functional collaboration while driving technical projects from inception to completion.

As a Staff AI/ML Full-Stack Engineer at GM, you'll design and develop end-to-end software products, own technical projects, and mentor junior engineers while focusing on cloud infrastructure and scalable applications.