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Software Engineering Manager, Labs

Software Engineering Manager, Labs

GoogleMountain View, CA, United States
6 days ago
Job type
  • Full-time
Job description

Join to apply for the Software Engineering Manager, Labs role at Google .

Applicants in San Francisco : Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

By applying to this position you will have an opportunity to share your preferred working location from the following : Mountain View, CA, USA; Seattle, WA, USA; San Francisco, CA, USA .

Minimum qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience with one or more of the following : speech / audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), or specialization in another ML field.
  • 5 years of experience leading to ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 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 Engineering, Computer Science, or a related technical field.
  • 3 years of experience working in a complex, matrixed organization involving cross‑functional, or cross‑business projects.
  • 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.

    As a Software Engineering Manager, you will work with incredible teammates across all major functions in a fast‑paced product‑oriented environment. You will have an impact on the future of communications with Google products.

    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.

    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 direction and roadmap within the scope of your 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.
  • Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies.
  • Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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