Senior Software Engineer, Infrastructure, AI​/ML Storage

Senior Software Engineer, Infrastructure, AI/ML Storage

Google Kirkland, WA, USA

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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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 (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

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 5 years of software development experience using programming languages such as with Golang, Java or C++.
• 5 years of experience with developing large-scale infrastructure, distributed systems or storage systems.

• Master's degree or PhD in Computer Science, or a related technical field.
• 1 year of experience in a technical leadership role.
• Experience with distributed or parallel file systems.
• Experience with performance investigations, performance analysis and tuning.
• Experience building and launching APIs for file systems.

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.

Data is the engine of AI/ML, which is revolutionizing all aspects of society. The data needs extremely performant storage to keep the Graphics Processing Units (GPUs) and Tensor Processing Units (TPUs) fed with data. Our mission is to deliver file storage that enables enterprise customers to continue to innovate on their AI/ML goals without having to worry about managing storage. AI/ML includes many different workflows like pre-training, training, reinforcement learning, inferencing, etc.

In this role, you will be instrumental in building the next generation of cloud storage, specifically tailored for extreme-scale, data-intensive workloads such as generative AI and real-time inference.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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 $166,000-$244,000 + 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…