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Minimum qualifications:
- Bachelor’s degree in a technical field or equivalent practical experience.
- 3 years of software development experience, or 1 year with an advanced degree.
- 2 years of experience programming in Python.
- Experience contributing to an open-source project.
Preferred qualifications:
- Experience maintaining a sizable open-source project, ideally a technical or research-focused framework.
- Experience in one or more technical areas such as linear algebra, quantum simulation/chemistry, numerical algorithms, machine learning, or distributed systems.
- Experience or familiarity with Rust and C++, specifically within Linux and code hosting platform-oriented development environments.
- Familiarity or formal education in quantum computing with a enthusiasm to continue learning.
- Proficiency in one or more core libraries such as Cirq, Stim, TensorFlow, NumPy, SciPy, Pandas, or Protocol Buffers.
- Ability to write and communicate in English fluently.
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 manage information at a 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 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.As a part of the Quantum AI team, you will build tools to facilitate research and development toward the discovery of practical, near-term quantum algorithms. You will support the development and growth of open-source ecosystems, including Cirq that is a Python framework for writing and running quantum programs, qsim, a C++ high performance quantum simulator, OpenFermion, a Python library for building algorithms that simulate quantum chemistry, Qualtran, a Python framework for expressing and analyzing Fault Tolerant Quantum algorithms and Stim, a fast stabilizer circuit simulator written in C++ and Python.
You will maintain the code health of these libraries to ensure long-term stability while building innovative features to advance our research goals, help grow the community and lead the design of new features for Cirq and other libraries.The full potential of quantum computing will be unlocked with a large-scale computer capable of 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 $147,000-$211,000 + 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:
- Collect requirements from researchers to identify needed features and transition research code to open source.
- Design and implement features useful for quantum algorithms researchers.
- Engage in open-source community efforts, including issue triage, code review, and community meetings.
- Enhance testing and tooling, and create documentation for user-facing libraries.
- Optimize the performance and maintainability of the code base by diagnosing bottlenecks, refactoring, and making targeted revisions.
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