Software Engineer

Google; Mountain View (CA); Hybrid; USD 153,000 - 211,000; Full time

Job summary

Google DeepMind in Mountain View, California, is seeking a Software Engineer to contribute to GenAI research and production features. You will prototype ML pipelines, develop robust product code, and collaborate with cross-functional teams to deliver high-usage applications.

The role requires a Bachelor's degree and 2 years of relevant experience, with proficiency in Java/C/C++/Python/Go/Kotlin/TypeScript and experience across the full frontend lifecycle from concept to deployment.

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.
• 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.

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.

Skills

Software development

Data structures & algorithms

Systems thinking

Cross-functional collaboration

Frontend lifecycle experience

Education

Bachelor’s degree in CS or related field

Tools

Java

C

C++

Python

Go

Kotlin

TypeScript

Job description

• 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.

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 .

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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veterans status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .