Software Engineer

Google · Big Tech · Mountain View, CA +1

Software Engineer at Google DeepMind focused on applying research to high-impact GenAI problems, including prototyping solutions, curating datasets, and building ML pipelines for generative media, multimodal understanding, and reinforcement learning. The role involves developing robust product code, performing comprehensive testing, collaborating with peers, resolving system issues, creating documentation, and managing the full deployment lifecycle.

What you'd actually do

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

Required

Software development using Java, Kotlin, C, C++, Python, or Go
Designing and applying data structures or algorithms
Android application development
Testing, launching, and maintaining mobile application features
Server-side development to power mobile application features

Nice to have

GenAI solutions
ML pipelines
generative media
multimodal understanding
reinforcement learning
system quality and reliability
system testability
hardware, network, and service operations
system qualification
process automation
technical debt

What the JD emphasized

prototyping GenAI solutions
building ML pipelines
generative media
multimodal understanding
reinforcement learning
robust product code
comprehensive testing
rigorous design and code reviews
complex system issues
technical documentation
full deployment lifecycle

Other signals

prototyping GenAI solutions
building ML pipelines
generative media
multimodal understanding
reinforcement learning

Read full job description

The US base salary range for this full-time position is $149,400 - $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 Mountain View, CA 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.

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; and Manage the full deployment lifecycle by contributing to system qualification, monitoring, process automation, and paying down technical debt to improve long-term scalability.

Qualifications

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, Kotlin, C, C++, Python, or Go; Designing and applying data structures or algorithms; Android application development; Testing, launching, and maintaining mobile application features; and Server-side development to power mobile application features.

Position reports to the Mountain View, CA office & may allow for a hybrid schedule as per Google policy.

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; and Manage the full deployment lifecycle by contributing to system qualification, monitoring, process automation, and paying down technical debt to improve long-term scalability.

Qualifications

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, Kotlin, C, C++, Python, or Go; Designing and applying data structures or algorithms; Android application development; Testing, launching, and maintaining mobile application features; and Server-side development to power mobile application features.