Staff Software Engineering Manager, Quantum AI

Minimum Qualifications:

• Bachelor’s degree, or equivalent practical experience.
• 8 years of experience in software development.
• 3 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
• 3 years of experience in a technical leadership role.
• 2 years of experience in a people management or team leadership role.

Preferred Qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• Experience in one or more libraries: Cirq, OpenFermion, numpy, scipy, sympy, pandas, protocol buffers, Google Cloud Platform, Qiskit or QASM.
• Experience leading or maintaining a sizable open source project, research, or technical framework.
• Experience or familiarity in Rust.
• Knowledge of one or more of the following: Machine learning, distributed systems, quantum simulation, quantum chemistry, linear algebra, quantum information, or quantum physics.

About The Job

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

Our goal in the Quantum Computer Software (QuaCS) team is to build software to enable and accelerate research in quantum hardware and algorithms.

The quantum research platform team builds, maintains, and scales the infrastructure that allows researchers to run quantum programs on Google’s quantum computing fleet. In this role, you'll work closely with the NISQ algorithms team, product, and open source teams on the Quantum AI team.

You will lead the quantum research platform team, managing a 4-5 person team to deliver and maintain this infrastructure and API.

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 $197,000-$291,000 + 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

• Manage a team of 4 to 6 people to develop and maintain the quantum research platform.
• Work with researchers and the product team on product road maps and help prioritize technical work.
• Be responsible for the delivery for a platform to access quantum hardware for researchers.
• Work with other managers and leads across the quantum software team on implementing features.
• Work across open source, closed source, and API surface to provide quality interfaces for researchers.