Principal Engineer, Google Compute Engine, Specialized Instances

• Establish industry-leading workload-optimized portfolio roadmap by defining GCE instances that meet the stringent resource, reliability, and performance demands of large-scale AI/ML clusters and mission-critical applications.
• Lead the design, development, and optimization of GCE instances tailored to the unique performance and reliability needs of unique workloads, including collaborating with internal teams and Google’s hardware architects to ensure optimal performance and efficiency.
• Build understanding of enterprise and AI/ML segments as a subject matter expert to understand their current and future requirements for GCE instances.
• Provide technical guidance and mentorship to tech leads responsible for various aspects of the specialized GCE instance portfolio.

Minimum qualifications:

• Bachelor’s degree in Computer Science, Electrical Engineering, or equivalent practical experience
• 15 years of experience in software development in software design, data structures, algorithms, debugging, and analysis on working on customer-facing products
• 10 years of experience working with private and public cloud design considerations and challenges in the areas of operating systems, virtualization, multi-tenancy, fault-isolation, large-scale distributed systems, networking, and security, with technical paper publications and conference engagements
• 10 years of experience in cloud compute infrastructure and storage or networking.

Preferred qualifications:

• Experience successfully building software and large-scale distributed systems
• Ability to work cross-functionally, partnering with groups (e.g., Engineering, Product Management, Finance, Account Management, Operations, Product Marketing, UX, and UI), brokering trade offs with stakeholders, understanding their needs, and driving consensus
• Excellent organization and prioritization skills along with outstanding written and verbal communication skills
• Outstanding narrative and storytelling skills that propel usage, adoption, and market momentum

• Bachelor’s degree in Computer Science, Electrical Engineering, or equivalent practical experience
• 15 years of experience in software development in software design, data structures, algorithms, debugging, and analysis on working on customer-facing products
• 10 years of experience working with private and public cloud design considerations and challenges in the areas of operating systems, virtualization, multi-tenancy, fault-isolation, large-scale distributed systems, networking, and security, with technical paper publications and conference engagements
• 10 years of experience in cloud compute infrastructure and storage or networking.