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# Director, Engineering, Compute Infrastructure, Google Distributed Cloud

- **Company:** Google LLC
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Salary:** $307,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Data Centers, Open Source Technology, Cloud Services, Zero Trust Network Access, Software Engineering, Virtual Machines, HybridCloud, Non-Uniform Memory Access, Information Technology, Bare Metal, Machine Learning Operations, Model Inference, DeepMind
- **Published:** November 6, 2026
- **Apply:** https://dejobs.org/x/x/864208CC6BD94809B909AB44CB1211A8/job/

## About the Role

* Bachelor's degree in Computer Science or Engineering, or equivalent practical experience.
 * 15 years of experience as a software engineering leader in infrastructure areas.
 * 10 years of experience leading multiple engineering teams and senior technical leaders (managers and principal/staff engineers).
 * Experience with cross-functional senior stakeholder management., * Master's degree or PhD in Computer Science or related technical field.
 * Experience with cloud services in the areas of Compute, Virtual Machines, Storage, or Networking.
 * Proven track record of designing and shipping successful product experiences for web and mobile interfaces.
 * Proven track records of designing, shipping, and operating packaged, edge, hybrid cloud, or airgapped/disconnected infrastructure for enterprise or highly regulated public-sector customers (e.g., FedRAMP, Sovereign Data Centers).
 * Proven track record optimizing compute, Virtual Machines for AI/ML workloads (GPU/accelerator scheduling, SR-IOV, NUMA topology, confidential computing).
 * Active technical influence and community leadership within open source ecosystems.

## Description

* Unite modern cloud native applications with next-generation virtualization on a single, declarative control plane. Solve one of the greatest infrastructure transitions in enterprise IT, giving customers a modern alternative to legacy virtualization stacks without requiring them to rewrite decades of enterprise VM applications.
 * Partner closely with GDC AI, Vertex AI, and DeepMind teams to optimize bare metal and virtualized compute substrates for demanding AI inference and agentic workflows. Drive hardware and GPU utilization, NUMA aware scheduling, SR-IOV, GPU passthrough, and confidential computing to unlock maximum price-performance and zero-trust security.
 * Design systems for environments where central public cloud SREs cannot manually intervene.