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X 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 (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• 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 one or more general purpose programming languages including but not limited to: Java, C/C or Python.
• 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• Experience with GPU programming (CUDA, OpenCL) and optimization techniques.

Preferred qualifications:

• Master's degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• Experience in developing query processing engines for a SQL relational database or large-scale distributed 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.
Google BigQuery is a fast, serverless, and highly scalable multi-cloud data warehouse offered as part of Google Cloud Platform. It supports a wide range of data analytics use cases-including reporting, business intelligence, data pipelines, and data marts-and is used across many enterprise sectors, including retail, finance, technology, and gaming.

BigQuery is one of the leaders in the data warehousing space. As we learned in recent years, most of the queries users run are working on small datasets. The trend is so profound that some ex-BigQuery leaders even started new businesses to solve that exact use case. Our team's mission is to make BigQuery the best data warehouse for low-latency, high-throughput use cases.
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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) 20% bonus target equity benefits

Learn more about benefits at Google .

Responsibilities

• Provide technical leadership on projects.
• Design, develop, test, deploy, maintain, and enhance large-scale software solutions.
• Improve BigQuery engine to remove bottlenecks for low latency queries, design solutions that are easy to maintain and extend.
• Work with BigQuery and Dremel codebase, which is primarily C with some Java in data planes and Python for tests.