Software Engineer III, ML Pipeline Development, XR

Requirements

• 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).

Nice to Haves

• 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.

What You'll Be Doing

• 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.

Perks and Benefits

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• If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
• 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.
• To all recruitment agencies: Google does not accept agency resumes.