Principal Engineer, Google Compute Engine, Specialized Instances

Google; Seattle (WA); Hybrid; USD 307.000 - 427.000; Vollzeit

Benefits dieser Stelle

Health insurance with dental/vision

401(k) with company match

Paid time off

Sick time

Holidays

Zusammenfassung

Google is seeking a Principal Engineer for Specialized Instances to define workload-optimized GCE portfolios for AI/ML clusters and mission-critical apps. You will collaborate across Engineering, Product Management, Finance, Account Management, Operations, Product Marketing, UX, and UI to broker trade-offs and drive adoption.

You will shape the workload-optimized portfolio, mentor tech leads, and push innovation across storage, memory, and compute to deliver scalable cloud infrastructure.

Qualifikationen

• Bachelor’s degree in Computer Science, Electrical Engineering, or equivalent practical experience.
• 15 years of software development experience with customer-facing products.
• 10 years of cloud compute infrastructure and storage or networking experience.

Aufgaben

• Establish workload-optimized portfolio roadmap for GCE instances.
• Lead design, development and optimization of GCE instances for AI/ML workloads.
• Build SME understanding of enterprise and AI/ML segments for requirements.
• Provide technical guidance and mentorship to tech leads on portfolio.

Kenntnisse

Cross-functional collaboration

Communication skills

Organization & prioritization

Storytelling & narrative

Ausbildung

Bachelor’s degree in Computer Science, Electrical Engineering, or equivalent practical experience

Jobbeschreibung

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; Sunnyvale, CA, USA.

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

About The Job

As the Principle Engineer for Specialized Instances, you will establish 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. These instances are in the category of Storage, Networking, and Memory Optimized, as well as HPC.

Our workload-optimized portfolio also includes memory and storage-optimized instances. Storage-optimized instances are ideal for data-intensive applications like high-performance databases (e.g., SAP HANA), data warehousing, and large-scale media processing, where rapid access to vast datasets is essential. Memory-optimized instances exceed at running in-memory databases (e.g. Redis) and real-time analytics platforms (e.g. Apache Spark).

In this role, you'll also manage the challenge of providing low-latency, high-throughput storage solutions essential for the exponential growth of AI/ML clusters. This includes optimizing for applications that require rapid access to training data, checkpointing, and model serving, where local SSDs and storage-optimized VMs are critical for achieving optimal performance.

Additionally, you will drive technical innovation to push the boundaries of performance, reliability, and cost-efficiency across all these workloads, ensuring our customers have a seamless and exceptional experience. This is an opportunity to shape the future of cloud computing by directly impacting the core compute offerings of Google Cloud Platform.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting‑edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $307000 - $427000 (USD) + 30% bonus target + equity + benefits

Responsibilities:

Learn more about benefits at Google .

• 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .