Software Engineer, Data Engineering, LabOS, Quantum AI
Goleta, CA
+ Bachelor’s degree or equivalent practical experience.
+ 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
+ 2 years of experience in Data Management or Data Integration or Data Domain, System Integration, Distributed Databases, SQL Pipelines.
Preferred qualifications:
+ Experience programming in Python.
+ Experience in writing and maintaining Extract, Transform, Load (ETL) that operate on a range of structured and unstructured sources.
+ Experience with large-scale data processing.
+ Experience with modeling business processes or real-world data sources.
+ Experience with setting and implementing data governance policies.
+ Excellent written communication, organizational, and problem-solving skills.
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.
The Quantum AI LabOS team is devoted to developing, maintaining, integrating and productionizing software for running the quantum hardware lab. This includes supporting quantum chip design, fabrication, operation, automation, observability, and tracking.
In this role, you will help us build data-powered decision-making tools, e.g., data pipelines, data warehouse, databases, data governance, etc. You will guide users in the Quantum Hardware Lab on how to ingest, store, process, analyze, and explore/visualize data on the Google Cloud Platform. You will work on data migrations and transformational projects, and troubleshoot potential platform issues.
This role may involve working with technical information that is export-controlled. Non-US persons would require an export license to do so (US citizens, lawful permanent residents, and certain protected individuals are considered “US persons” under applicable law).
The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.
The US base salary range for this full-time position is $141,000-$202,000 + 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:
+ Design, develop and support data pipelines, warehouses, databases, reporting and visualization systems to solve operations and users problems, for both existing and new data, using a variety of traditional as well as large-scale distributed data systems.
+ Collaborate and influence users and stakeholders to ensure our data infrastructure meets constantly evolving requirements and data governance policies.
+ Work closely with research scientists and engineers to productionize analysis models using data processing pipelines. Recommend improvements and implement modifications to existing data models and ETL pipelines.
+ Write and review technical documents including design, development, and revision documents. Drive innovation with new analytical tools to gain more insight from data.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.
About the Company
Build for everyone
Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. These Googlers build products that help create opportunities for everyone, whether down the street or across the globe.
It starts with how we work together. We’re building a company where people of different views, backgrounds and experiences can do their best work and show up for one another. A place where every Googler feels like they belong.
So whether you develop new technology or creative campaigns, craft beautiful products or breakthrough partnerships, your work here is a chance to accomplish things that matter. Bring your insight, imagination, and healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
Benefits
We strive to provide Googlers and their loved ones with a world-class benefits experience, focused on supporting their physical, financial, and emotional wellbeing. Our benefits are based on data, and centered around our users: Googlers and their families. They’re thoughtfully designed to enhance your health and wellbeing, and generous enough to make it easy for you to take good care of yourself (now, and in the future). So we can build for everyone, together.
Learn more about Google’s benefits on this site featuring Googlers’ experience.
How we Hire
Google’s hiring process is an important part of our culture. Googlers care deeply about their teams and the people who make them up. In order to build for everyone, we know that we need a wide range of perspectives and experiences, and a fair hiring process is the first step in getting there.