Senior Software Engineering Manager, Emerging On-prem AI Infrastructure
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- 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
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience with software development.
- 7 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
- 5 years of experience in a technical leadership role.
- 5 years of experience in a people management or team leadership role.
Preferred qualifications:
- Experience in end-to-end diagnostics, troubleshooting, and supportability, with leading SWAT team efforts for issues and developing long-term sustainable solutions.
- Experience building cloud or systems level infrastructure spanning the entire hardware and software stack with passion for building system skills, low level system S/W, OS, firmware, low level networking or hardware etc.
- Familiarity with service level objective (SLOs)/metrics measurement, logs/telemetry/metrics integration with tools for enhanced operator experience.
- Ability to guide a team in building scalable, sustainable systems.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
With your extensive technical expertise you take initiative to independently design and implement new systems, designing, implementing, and testing multiple features with little or no direction from tech lead or manager. You collaborate with key stakeholders to determine future direction of work.
Google is looking to build the next generation of on prem AI infrastructure to bring the best of Google to empower Frontier model and AI solution builders to advance the AI around the world. We are looking for engineers/TLMs with exposure to fully integrated AI infrastructure systems (GPU or TPU), from hardware (HW) to software (SW) design and workload management, to developing large-scale training and inference workloads, and optimizing performance.
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 $248,000-$349,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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
- Drive project success by setting the technical goal and roadmap for diagnostics/operational tooling and repair automation.
- Lead and manage the team, which includes a 40-60 split of Software Development Engineers (SDEs) and Software Engineers (SWEs), ensuring the right skill sets are in place for frontline support, debugging, and building sustainable systems.
- Ensure central responsibility is taken for diagnostics and troubleshooting of end-to-end supportability issues, to uncover and address technical problems, and the building of repair automation systems.
- Implement and govern the success metrics for the team, spanning operational plane metrics (e.g., support case metrics, global services operations (GSO) case handling), and return merchandise authorization (RMA)/Spares metrics (e.g., swap and repair rate).
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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.
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