Software Engineer

Google LLC

Mountain View, CA

JOB DETAILS
SKILLS
Algorithms, Artificial Intelligence (AI), Automation, Best Practices, C Programming Language, C++ Programming Language, Cloud Computing, Code Reviews, Compensation Management, Compensation and Benefits, Computer Science, Consulting, Customer/Client Research, Data Structures, Debugging Skills, Debugging Tools, Educational Technology, English Language, Equal Employment Opportunity (EEO), Financial Services, Genetics, Go Programming Language (Golang), Information Technology & Information Systems, Integration Testing, Internet Security, Internet of Things, Java, Kotlin, Mathematics, Mechanical Engineering, Network Operations Center, Operations Security (OPSEC), Physics, Problem Solving Skills, Product Lifecycle, Product Testing, Project/Program Management, Prototyping, Python Programming/Scripting Language, Recruiting/Staffing Agency, Regulatory Requirements, Reinforcement Learning, Root Cause Analysis, Sales Management, Software Development, Software Engineering, Software Testing, Systems Analysis, Systems Reliability, Technical Analysis, Technical Leadership, Technical Writing, Test Plan/Schedule, Testability, Testing, Training Data Sets
LOCATION
Mountain View, CA
POSTED
15 days ago

Software Engineer - Google Careers

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Software Engineer

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corporate_fareGoogleplaceMountain View, CA, USA

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Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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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 or Kotlin; Designing and applying data structures or algorithms; Systems thinking or analyzing technical problems from a broad; systems-level perspective; Software testing across the development lifecycle including validity, verification, performance, and reliability; Root cause analysis for debugging software and ML systems

About the job

The US base salary range for this full-time position is $149,400 - $211,000 + 15% Bonus Target + equity + benefits. Transfer compensation is determined algorithmically and is non-negotiable. Learn more about how a transfer may affect your compensation package, how location changes affect compensation, and about benefits at Google at go/benefits .

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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.

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.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

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