Software Engineer

Google; Mountain View (CA); Hybrid; USD 149,400 - 211,000; Full time

Job summary

Google DeepMind (Mountain View) is hiring a Software Engineer to advance GenAI research, develop ML pipelines, and contribute to robust product code with comprehensive testing. You will collaborate with cross‑functional teams, implement front‑end features, and apply data structures and algorithms from a systems‑level perspective. The role reports to the Mountain View office and may offer hybrid work.

Qualifications

• Bachelor’s degree in CS, 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 iOS development (Swift/Objective-C), including front‑end feature implementation and collaboration with UX/Product Management; designing and applying data structures or algorithms; systems thinking; designing and executing live experiments and evaluating performance data; and managing the full lifecycle of applied research projects from 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.

Skills

iOS development (Swift/Obj-C)

UX/Product collaboration

Data structures & algorithms

Systems thinking

Experiment design & analysis

Applied research lifecycle

Education

Bachelor’s degree in CS/Engineering/Math/Physics or related field

Job description

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: Experience in iOS development (Swift/Objective-C), including front‑end feature implementation and collaboration with UX/Product Management; Designing and applying data structures or algorithms; Systems thinking or analyzing technical problems from a broad, systems‑level perspective; Designing and executing live experiments and evaluating performance data; and Managing the full lifecycle of applied research 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: Experience in iOS development (Swift/Objective-C), including front‑end feature implementation and collaboration with UX/Product Management; Designing and applying data structures or algorithms; Systems thinking or analyzing technical problems from a broad, systems‑level perspective; Designing and executing live experiments and evaluating performance data; and Managing the full lifecycle of applied research projects from proof‑of‑concept to implementation.

About The Job

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.

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 Google 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. 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 Veteran 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 .