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: Algorithm design and data structure selection for system scalability; Software design and systems architecture for performance and reliability; Apply large language multimodal models to solve real world problems including system design, post-training, evaluation, and optimization; Software testing across the development lifecycle including validity, verification, performance, and reliability; and Root cause analysis for debugging software and ML systems.
About the job:
The US base salary range for this full-time position is $221,450 - $253,000 + 15.00% 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.
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
- Drive the short-term technical vision and roadmap for your team, evolving strategies to meet future requirements and infrastructure needs
Learn more about this Employer on their Career Site
