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 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.

As a part of Google Quantum AI, your mission is to build a computer and unlock solutions to classically intractable problems as roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.

As a part of the Google’s Quantum AI team, you will build and run algorithms on today’s world leading quantum computers as these machines grow from research prototypes into products, the software that orchestrates and executes quantum computations need to transition into a form that more closely resembles traditional software products.

In this role, you will design and build the datastores, data layers, and many of the foundational apis for quantum software products and work with the research, product, and software teams in Quantum AI.

Much of this work is greenfield, representing an opportunity for high-impact.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

• Analyze problems and recommend solutions for both short and long-term needs, taking ownership and roadmapping to influence other engineers, and implementing solutions or delegating to colleagues.

• Deliver outcomes as a key contributor by designing and implementing multi-quarter projects without supervision, consistently generating the ideas required to solve ambiguous problems.

• Write and review code to ensure best practices are met, contributing to data preparation, optimization, and performance enhancements confirming all aspects of technical work are high-quality.

• Incorporate feedback on designs to determine when to enhance existing systems or build new systems, and contribute to existing documentation or educational content.

• Partner with research groups and collaborate with teams of different backgrounds, including hardware engineers, electronic engineers, or research scientists.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.

• 3 years of software development experience or 1 year with an advanced degree.

• 2 years of experience programming in Rust or C++.

• 1 years of experience with software design and architecture.

Preferred qualifications

• Experience with Kubernetes and Google Distributed Cloud.

• Experience designing data processing pipelines or job execution systems.

• Experience building distributed services and resource-oriented APIs.

• Familiarity or education in quantum computing with enthusiasm to learn more.