Research and prototype new algorithmic and machine learning approaches to improve eye tracking accuracy and maximize population coverage using real-world data insights. Develop scalable, computationally efficient algorithms optimized for resource-constrained, low-power operating modes. Manage open-ended technical challenges by efficiently navigating ambiguity, evaluating alternative solutions, and driving execution while collaborating closely with hardware and research teams.
Drive testing and quality by contributing to data reprocessing pipelines, visualization tools, and automated test frameworks. Provide technical leadership to define software standards, develop comprehensive technical documentation, and support cross-functional teams with hardware integration and investigation.
Job description provided by Google.
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