Director of Engineering, Fleet Infrastructure, Compute
- linkCopy link
- emailEmail a friend
Minimum qualifications:
- Bachelor's degree in Computer Science, Engineering, related discipline, or equivalent practical experience.
- 15 years of experience in software engineering leadership.
- Experience in cloud computing, distributed systems, virtualization, networking, storage, and security.
Preferred qualifications:
- Master's degree or Ph.D. in Computer Science or a related field.
- Experience with Google Cloud Platform or other major cloud provider.
- Deep technical expertise in cloud computing, distributed systems, virtualization, networking, storage, and security, with experience in building large-scale distributed systems.
- Strong understanding of customer needs and ability to translate them into technical requirements and solutions.
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.
- Proven track record of leading and managing high-performing engineering teams, fostering a culture of innovation and collaboration.
About the job
Google’s ML, Systems and Cloud AI (MSCA) builds the foundation behind Google and Google Cloud’s compute and AI/ML offerings. We manage the underlying design elements, developer platforms, product components, and infrastructure.
Google Compute Engine (GCE) empowers its users with a comprehensive suite of VM and Baremetal instances for General-Purpose, Compute-Optimized, Memory-Optimized, Storage-Optimized and GPU/TPU-Accelerated Workloads. GCE is used by businesses of all sizes, from startups to Large Enterprises running AI/ML, Cloud Native and Mission Critical workloads. We work closely with hardware partners and Google’s engineering teams to harness the latest advancements in CPU (x86/ARM), Storage, Network, GPU/TPU virtualization, all backed by cutting-edge security, reliability, and performance.
The exponential growth of AI/ML and the increasing demands of enterprise workloads necessitate continuous innovation in GCE's instance portfolio and its underlying infrastructure. You will lead an engineering team to deliver infrastructure that supports uncompromised reliability, consistent performance, and state-of-the-art maintenance experience across the entire GCE instance portfolio. You will be at the forefront of shaping the future of cloud computing, ensuring GCE remains the leading platform for the most demanding workloads. This is a unique opportunity to drive technical excellence, foster a culture of innovation, and directly impact the success 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 for new hire 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
- Provide technical leadership and guidance to a team of engineers, driving the development and execution of GCE's technical roadmap.
- Ensure all GCE systems are architected for exceptional reliability and performance - meeting the stringent demands of large-scale AI/ML clusters and mission-critical applications.
- Lead the development of cutting-edge deployment architectures, instance types, and features to address the evolving needs of enterprise and AI/ML workloads.
- Engage with top customers to understand their reliability, performance and disruption requirements, and tailor Google’s infrastructure systems ensuring customer satisfaction and adoption.
- Collaborate with product management, stakeholders, and cross-functional teams to define and execute the GCE product strategy for reliability and disruption management.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.