Teams at General Motors

Defines and governs the end-to-end architecture for GM’s scalable co-simulation and virtual integration ecosystem. Responsibilities include establishing interfaces, packaging, execution, configuration, traceability, observability, quality standards, supplier requirements, and technical roadmaps across virtual ECUs, models, software, networks, and test environments. The role leads cross-functional architecture decisions, supports issue resolution, mentors engineers, and aligns global teams while partnering with specialized pipeline, toolchain, quality, and program organizations.

Leads the design and operation of reliable, scalable, observable cloud-native data platforms supporting vehicle telemetry and ingestion. Responsibilities include production readiness, CI/CD, SLOs, monitoring, incident response, automation, AI workflow evaluation, post-incident improvements, customer partnership, technical direction, and mentoring. The role requires hands-on programming, cloud infrastructure, observability, GitOps, and high-scale systems expertise, with participation in a weekly on-call rotation.

Leads a software engineering team responsible for vehicle data platform components across Android, Linux, and QNX. Oversees hiring, architecture, delivery, testing, releases, field support, reliability, telemetry, incident response, and technical direction. Partners with cloud, cybersecurity, privacy, platform, and application teams to deliver scalable software on resource-constrained vehicle ECUs and manage data flows to the cloud.