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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.

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.

Lead the design of advanced driver assistance systems, focusing on user experience and safety, while managing a multidisciplinary team and collaborating cross-functionally.

The Staff AI/ML Engineer will design and implement scalable ML infrastructure solutions, lead projects, mentor peers, and enhance ML productivity at GM.

This role involves ensuring the quality of autonomous vehicle simulation platforms through coding, developing metrics, and automated regression monitoring. Responsibilities include maintaining simulation systems, debugging validation measures, and collaborating with cross-functional teams.

Lead technical direction for GM's MBFF platform and core microservices. Design scalable APIs and integrations (REST, GraphQL, WebSockets, event-driven), drive DevOps/CI-CD and observability standards, champion AI-enabled operational tooling, guide architecture and production readiness, mentor senior engineers, and align platform strategy with product, security, and SRE teams.