Staff Software Engineer, Computer Vision
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
- 5 years of experience with Computer Vision (image classification and processing, object detection, visual search), video generation, or signal processing; and experience with algorithms and design techniques.
- 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Preferred qualifications:
- PhD degree or equivalent experience in one of the following areas: Computer vision, machine learning, sensor fusion, image processing, deep learning, simultaneous localization and mapping (SLAM), sensor calibration, semantic perception.
- Experience driving end-to-end development of computer vision systems from initial research to production-quality code landed in demos/products.
- Experience developing high-performance computer vision systems for real-time applications on mobile platforms.
- Experience with publications in computer vision or robotics.
About the job
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.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
The Google Augmented Reality Team’s mission is to give people superhuman abilities by making information instantly and intuitively accessible. The Calibration and Spatial Sensing team is responsible for the foundational world-sensing technology that enables devices to track and understand their surroundings using on-board sensors in real-time for the AR ecosystem and Alphabet-wide applications.
Android is Google’s open-source mobile operating system powering more than 3 billion devices worldwide. Android is about bringing computing to everyone in the world. We believe computing is a super power for good, enabling access to information, economic opportunity, productivity, connectivity between friends and family and more. We think everyone in the world should have access to the best computing has to offer. We provide the platform for original equipment manufacturers (OEMs) and developers to build compelling computing devices (smartphones, tablets, TVs, wearables, etc) that run the best apps/services for everyone in the world.
Responsibilities
- Provide technical leadership on high-impact projects.
- Influence and coach a distributed team of engineers.
- 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 end-to-end.
- Contribute to, or lead new research collaborations with partner teams to deliver novel technical components solving the challenges facing consumer AR devices on commodity hardware.
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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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