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Google Senior Staff Perception Algorithm Software Engineer in Mountain View, California

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.

  • 8 years of experience in software development, and with data structures/algorithms.

  • 5 years of experience with design and architecture; and testing/launching software products.

  • Experience with Machine Learning (ML) models, ML infrastructure, and Computer Vision.

Preferred qualifications:

  • PhD or equivalent experience in Computer vision, machine learning, sensor fusion, image processing, deep learning, simultaneous localization and mapping (SLAM), sensor calibration, or semantic perception.

  • Experience driving development of computer idea systems from initial research to production-quality code landed in demos/products.

  • Experience developing computer vision systems for real-time applications on mobile platforms.

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The Google Augmented Reality team is a diverse group of experts tasked with building the foundations for great immersive computing and building helpful, delightful user experiences. We're focused on making immersive computing accessible to billions of people through mobile devices, and our scope continues to grow and evolve.

The US base salary range for this full-time position is $237,000-$337,000 + 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 (https://careers.google.com/benefits/) .

  • Address key technical hurdles that prevent widespread adoption of AR on everyday devices.

  • Develop next generation components within spatial sensing and calibration for the AR team.

  • Work with stakeholders to define requirements and drive algorithmic design and implementation.

  • Initiate, contribute, or lead new research collaborations with partner teams to deliver novel technical components solving challenges facing consumer AR devices on commodity hardware.

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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

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