Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 2 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- Experience in designing computer vision systems.
- Experience with software engineering, C , Python.
Preferred qualifications:- Master's degree or PhD in Computer Science or related technical field.
- Experience in 3D reconstruction.
- Detailed understanding of mobile imaging systems (image sensors, optics, auto-exposure, image signal processor (ISP), etc.).
Responsibilities- Architect, train, and implement machine learning models for depth estimation tailored for Android XR headsets and smart glasses.
- Design algorithms for split-compute architectures, optimizing specifically for extreme power efficiency and low latency.
- Lead the end-to-end development, testing, and deployment of a stable depth pipeline runtime for end users.
- Collaborate effectively with partner eng teams as well as with Product and UX to deliver on the main target key performance indicators (KPIs).
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $210000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
