Software Engineering Manager, Quantum OS, Quantum AI

Full-time
Minimum qualifications:Bachelor’s degree, or equivalent practical experience.8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).3 years of experience in a technical leadership role; overseeing projects, with 2 years of experience in a people management, supervision/team leadership role.2 years of experience in programming in C, C++ and Rust.Preferred qualifications:Master's degree or PhD in Computer Science, or a related technical field.3 years of experience working in a complex, matrixed organization.3 years of experience with quantum computing hardware or related quantum technology.Experience in digital signal processing. 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.The Quantum Computing Software team supports the mission of Google's Quantum AI by using software engineering to improve features, performance, and usability for Google's Quantum processors. Quantum computers require performant control electronics and classical computers to drive their quantum computations. In this role, you will manage the team that is responsible for the software that drives the control electronics (i.e., Quantum Operating System). You will work with the Quantum OS team on analyzing and improving overall performance, designing and architecting performant distributed and parallel systems, develop new kernel features and architectures for the Quantum Operating System. Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.The US base salary range for this full-time position is $189,000-$284,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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 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 and 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 the team. 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).