Distinguished Engineer, AI Compute, Google Distributed Cloud
About The Position
The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. 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.
Requirements
- Bachelor's degree in Engineering, Computer Science, or related technical field, or equivalent practical experience.
- 15 years of experience leading technical innovation in AI labs, AI accelerator companies, hyperscalers, or related AI companies.
- Experience delivering models, agents, other AI services, or AI infrastructure.
- Experience delivering hyperscale cloud services to enterprise customers.
Nice To Haves
- Experience with artificial intelligence, machine learning, and generative AI.
- Experience with cloud services and platform development.
- Experience working with partners and developing relationships.
- Ability to simply explain complex business or technical challenges.
- Excellent “big picture” strategy thinking, enabling teams to deliver management solutions that are effective at scale.
Responsibilities
- Drive the architecture, design, and technology strategy that enables the best customer value in terms of price/performance, security, and reliability, for on-prem air-gapped and connected deployments.
- Understand how models work and are changing (moving to memory, reasoning, and AGI), how customers should choose the best model for their use case, how the infrastructure can be optimized to run the model, how integration with data and security come together, and how to work with AI labs (including Google DeepMind) to drive model enhancements for customers requiring a distributed cloud on-prem.
- Recommend the best current and emerging solutions to help customers achieve an advantage.
- Work with a large organization of software engineers and product managers within the GDC group and with partners such as Cloud AI and Google DeepMind.
Benefits
- 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 (statutory, where applicable); 5 days/event (discretionary)
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
