Software Engineer Manager, Infrastructure

Software Engineer Manager, Infrastructure

Google Sunnyvale, CA, USA

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
• Experience in a people management, supervision/team leadership role.
• Experience building infrastructure, simulation, emulation, and dev tools to increase developer productivity.

• Master's degree or PhD in Computer Science or related technical field.
• 3 years of experience working in a complex, matrixed organization.

• Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision‑making across teams.
• Set clear expectations with individuals based on their level and role, aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.
• Develop the mid‑term technical goal and roadmap within the scope of your teams. Evolve the roadmap to meet anticipated future requirements and infrastructure needs.
• Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.
• Review code developed by other engineers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

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 optimize your own code and 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. You will manage engineers across multiple teams and locations, a large product budget, and oversee the deployment of large‑scale projects across multiple sites internationally.

We work on a range of unique problems focused on research topics that maximize scientific and real‑world impact, aiming to push the state‑of‑the‑art in AI and share findings with the broader research community.

Salary: US: $207,000 - $301,000 (USD) + 20% bonus target + equity + benefits.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law.

See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.