Software Engineer

About the role

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, Go, Kotlin or Typescript; Designing

and applying data structures or algorithms; Systems thinking or analyzing

technical problems from a broad, systems-level perspective; Collaborating

with cross-functional partners to deliver user facing features for high usage

applications; and Participating in the full lifecycle of web frontend

projects from proof-of-concept to implementation.

ABOUT THE JOB:

The US base salary range for this full-time position is $152,800 - $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 about

benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

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.

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.

RESPONSIBILITIES:

• Apply research to high-impact problems by prototyping GenAI solutions,

curating datasets, and building ML pipelines for generative media, multimodal

understanding, and reinforcement learning.

• 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.