Description

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 working with Kubernetes.
• 2 years of experience building RPC infrastructure.
• Experience with people management or as a direct technical lead of a customer-facing product.

Preferred qualifications:

• Experience with google cloud platform technologies.
• Experience with google distributed cloud.
• Experience with One Platform, Apigee, OpenAPI, AIPs, and other API standards.
• Experience building developer infrastructure.
• Familiarity with quantum computing with an enthusiasm to learn more.

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.

Google's Quantum AI team builds and runs 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 will need to transition into a form that more closely resembles traditional software products.

In this role, you will manage and lead a team within Quantum AI. You will drive cross-team alignment on RPC standardization and prioritize and guide the direction of related sub-projects. You will work closely with the research, product, and software teams on the Quantum AI team.

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 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 $207,000-$300,000 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

• Lead a team of building service infrastructure (discovery, auth, observability, and rollout), owning the goals and roadmap to influence broader engineering direction.
• Scope problems and recommend solutions for both short- and long-term needs, taking ownership of implementation or delegating to colleagues as required.
• Drive multi-quarter outcomes as a lead contributor, separately designing and implementing solutions that solve highly ambiguous technical tests.
• Maintain high-quality standards through code authorship and reviews, ensuring best practices in optimization while contributing to documentation and educational content.
• Seek design feedback to determine when to enhance or build new systems, collaborating closely with research, hardware, and electronic engineering teams.

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Requisition #: 116353812213441222

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