Guide the transition of GPU production support from fragmented, NPI-specific task forces into a centralized, standing organization.

Develop and execute a comprehensive, multi-year roadmap for GPU fleet stability, capacity turn-up, and automated health management, aligning with broader Cloud and AI infrastructure goals.

Anticipate the support needs for next-generation GPU architectures and proactively build the capabilities required for seamless NPI to General Availability (GA) transitions.

Sponsor and drive the development of advanced telemetry, debugging tooling, and automated remediation systems to scale fleet management and significantly reduce operational toil.

Serve as the executive escalation point for critical, systemic hardware and software issues on GPU Superpods.

Bachelor’s degree, or equivalent practical experience.

8 years of experience programming in C++, Java, Python, Kotlin or Go.

5 years of experience in a technical leadership role.

5 years of experience in a people management or team leadership role.

5 years of experience with embedded systems.

5 years of experience with software architecture.