Minimum qualifications:- Bachelor's degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field and 5 years of progressive post-baccalaureate experience in the job offered or in a Software Engineering-related occupation.
- Alternatively, will accept a Master's degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field, and 3 years of experience in the job offered or in a Software Engineering-related occupation.
- Position requires 3 years of experience in the following: C for software development; Algorithm design and data structure selection for system scalability; Productionizing large language and multimodal models or ML infrastructure development for model deployment, evaluation, and optimization; Reinforcement learning or speech/audio technologies; and Root cause analysis for debugging software and ML systems.
About the jobThe US base salary range for this full-time position is $221,350 - $253,000 15% bonus target equity benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training.
Learn more about benefits at Google
Position reports to the Google Mountain View, CA office & may allow for a hybrid schedule as per Google policy.
Responsibilities- Build and enhance serving solutions for Gemini models, tailoring configurations to meet diverse client needs and testing for optimal performance;
- Develop new infrastructure to support advanced capabilities, such as large-scale streaming and specialized audio logic within the orchestration framework;
- Guarantee the quality of Gemini models in production by triaging system issues, debugging code, and implementing robust monitoring systems;
- Collaborate with peers and stakeholders through design and code reviews to establish and maintain best practices in software development; and
- Drive the short-term technical vision and roadmap for your team, evolving strategies to meet future requirements and infrastructure needs.
