Senior Software Engineer

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.Drive the short-term technical vision and roadmap for your team, evolving strategies to meet future requirements and infrastructure needs.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 Engineer-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 Engineer-related occupation. Position requires 3 years of experience in the following: Productionizing large language and multimodal models or ML infrastructure development for model deployment, evaluation, and optimization; C++ for software development; Software testing across the development lifecycle including validity, verification, performance, and reliability; Root cause analysis for debugging software and ML systems; and Software design and systems architecture for performance and reliability.Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.The US base salary range for this full-time position is $193,500 - $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 office & may allow for a hybrid schedule as per Google policy.Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.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 Engineer-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 Engineer-related occupation. Position requires 3 years of experience in the following: Productionizing large language and multimodal models or ML infrastructure development for model deployment, evaluation, and optimization; C++ for software development; Software testing across the development lifecycle including validity, verification, performance, and reliability; Root cause analysis for debugging software and ML systems; and Software design and systems architecture for performance and reliability.