Principal Engineer, Google Compute Platform
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Minimum qualifications:
- Bachelor's degree in Computer Science, Electrical Engineering, or equivalent practical experience.
- 15 years of experience in Software Development, specifically in software design, data structures, and algorithms.
- 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. Experience with technical paper publications and at conference engagements.
Preferred qualifications:
- Experience driving execution, proactively managing risks and delivering against timelines.
- 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 narrative and storytelling skills that propel usage, adoption, and market momentum.
- Excellent organization, and prioritization skills along with outstanding written and verbal communication skills.
- Excellent problem solving and debugging skills, working on customer-facing products.
About the job
Google Compute Engine (GCE) is a cloud computing platform that empowers its users with a comprehensive suite of Virtual Machines and Baremetal instances for General-Purpose Compute, Compute-Optimized, Memory-Optimized, Storage-Optimized and GPU/TPU-Accelerated Workloads. GCE is one of Google Cloud Platform's (GCP) core services, and it is used by businesses of all sizes, from startups to enterprises running AI/ML, Cloud Native and Mission Critical Enterprise services.
We operate and maintain the infrastructure that provides public cloud infrastructure for customers to scale their operations.
As a Principal Engineer you will play a pivotal role in ensuring GCE instances continue to meet the rapidly evolving demands of both Enterprise and AI/ML customers. The exponential growth in the scale of clusters used by AI/ML applications, coupled with the generational advancements in GPU and TPU accelerators, necessitates meeting goodput requirements for these workloads consistently. Simultaneously, the increasing memory demands of Memory-Optimized applications and the need for high-performance local SSDs for Storage-Optimized applications are driving the need for constant innovation in the GCE instance portfolio. While meeting the expectations of both AI/ML and Enterprise workloads around disruptions is table stakes, you will drive technical innovation to push the boundaries of performance and reliability, ensuring our customers have a seamless and exceptional experience with their most demanding workloads. This is an opportunity to shape the future of cloud computing by directly impacting the reliability, scalability, and performance of Google Cloud Platform's core compute offerings.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $278,000-$399,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Responsibilities
- Establish maintenance experience for GCE by designing data plane systems and deployment systems to meet the reliability and performance demands of large-scale AI/ML clusters and mission-critical applications.
- Drive development of a comprehensive suite of workloads, benchmarks, and telemetry to qualify the entire GCE data plane, systematically eliminating sources of disruption.
- Cultivate a culture of proactive resilience within engineering teams, ensuring all GCE software systems prioritize reliability, maintainability, and resilience. Mentor teams to adopt architectural practices that enable systems to withstand demanding operating environments.
- Evaluate and refine GCE's architectural and operational practices to maintain Google Cloud's leadership position in supporting demanding workloads.
- Engage with Enterprise and AI/ML customers to understand their specific requirements for uninterrupted workloads and tailor GCE solutions accordingly.
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