Software Engineer

Google Inc.

Mountain View (CA)

Hybrid

USD 149,400 - 211,000

Full time

14 days+

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Job summary

Google in Mountain View, CA, is seeking a mid-level Software Engineer to drive GenAI initiatives, prototype ML solutions, and build scalable product features. You will collaborate with UX/Product teams to design and deliver robust software with strong testing and performance focus.

The role reports to the Mountain View office with potential for hybrid scheduling. A base salary range is provided with bonus target and equity, reflecting location and role level.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related field with 2 years of experience.
  • 2 years of experience in iOS development (Swift/Objective-C) and front-end feature implementation.
  • Experience with data structures or algorithms and systems thinking; live experiments and performance data.

Responsibilities

  • Apply research to high-impact problems by prototyping GenAI solutions and building ML pipelines.
  • Develop and test robust product code with integration, performance, and security testing.
  • Collaborate with peers through design and code reviews to enforce best practices and improve testability.

Skills

Swift/Obj-C
Frontend features
Algorithms
System thinking
Experimentation

Education

Bachelor’s degree in CS or related field

Job description

corporate_fare Google place Mountain View, CA, USA

Mid
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
  • link Copy link
  • 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 and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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