Engineering Manager, Neural Rendering Infrastructure, Project Starline - Google

Mountain View, CA

About the Job

Note: 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:

Master's degree in Computer Science, a related technical field, 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.
3 years of experience with 3D graphics and computer vision.

Preferred qualifications:

3 years of experience working in a complex, matrixed organization.
3 years of experience working with large quantitites of image and video data.
2 years of experience training complex deep neural networks.

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.

In this role, you will manage a team of Machine Learning and general software engineers to develop infrastructure and collect, store, and process image data to support our real-time 3D reconstruction and rendering algorithms for Project Starline through data and infrastructure. You will ensure that our algorithms are fair, robust to all situations, and ready for production.

Project Starline from Google combines advances in hardware and software to enable friends, families and co-workers to feel together, even when they’re cities (or countries) apart. Imagine looking through a magic window, and through that window, you see another person, life-size and in three-dimensions. As part of the Project Starline team, you'll work with researchers and engineers in a fast-paced product-oriented environment. Our teams collaborate closely with Google Workspace and Research teams. Your contributions will have an impact on the future of communications with Google products. You will apply technology to solve that really important problem that we often want to be together and we can’t.

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 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).

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.

Source : Google