Software Engineer

About the job

The US base salary range for this full-time position is $147,000 - $211,000 + 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 aboutbenefits at Google.

Position reports to the Google office & may allow for a hybrid schedule 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.

Minimum qualifications:

• Bachelor’s degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics or a related field and 2 years of experience in the job offered or in a Software Engineer-related occupation.
• Position requires 2 years of experience in the following: Software development using Java, C, C++, Python, or Go; Designing and applying data structures or algorithms; Systems thinking or analyzing technical problems from a broad, systems-level perspective; Data analysis and synthesis to generate solutions or evaluate outcomes for machine learning applications; and Debugging of system issues, including root cause analysis and triage or diagnosis and resolution of system issues.

Responsibilities

• Develop and test robust product code, performing comprehensive testing that includes integration, performance, and security to ensure system quality and reliability.
• Collaborate with peers through rigorous design and code reviews to enforce best practices, improve system testability, and ensure overall efficiency and accuracy.
• Triage and resolve complex system issues by debugging, analyzing root causes, and implementing solutions to optimize hardware, network, and service operations.
• Create and maintain technical documentation and educational materials, adapting content based on product updates and user feedback to ensure clarity and relevance.
• Manage the full deployment lifecycle by contributing to system qualification, monitoring, process automation, and paying down technical debt to improve long-term scalability.