Senior Software Engineer

The US base salary range for this full-time position is $221,450 - $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.

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

• Create new user experiences that build upon state of the art Gemini models that will delight and engage our users.
• Develop new infrastructure to support advanced capabilities, such as new training or evaluation methods.
• Collaborate with UX, UXR and PM to identify and prioritize user journeys and incorporate these into the design of the software.
• Collaborate with engineering 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 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 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: C++ for software development; Python for machine learning; Productionizing large language and multimodal models or ML infrastructure development for model deployment, evaluation, and optimization; Developing and refining user interface code using modern UI toolkits such as React, Angular, Flutter or similar; and Root cause analysis for debugging software and ML systems.