Qualifications
- Bachelor’s degree or equivalent practical experience.
- 2 years of experience with software development in Python or C++ programming languages, or 1 year of experience with an advanced degree.
- 1 year of experience with computer vision (e.g., image classification and processing, object detection, visual search), video generation, or signal processing.
- 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Preferred Qualifications
- Experience building and optimizing production-level pipelines for 3D computer vision or machine learning models.
- Experience with on-device and server-side deployment frameworks.
- Proficiency in developing and deploying software for low-power, high-performance hardware.
- Proven ability to perform power breakdown analysis and optimize for strict hardware KPIs.
Responsibilities
- Lead the productionization process by preparing models and pipelines for deployment.
- Develop algorithms and frameworks to support end-to-end pipeline development for on-device and server environments.
- Optimize system performance specifically for low-power and high-performance hardware constraints.
- Execute detailed implementations and conduct thorough power breakdown analysis.
- Ensure the achievement of critical power Key Performance Indicators (KPIs) necessary for the deployment of real-time spatial technologies.
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.
