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# Software Engineer

- **Company:** Google LLC
- **Location:** Mountain View, CA, United States
- **Experience:** Experienced
- **Salary:** $149,400.0 - $211,000.0
- **Contract:** Permanent contract
- **Skills:** Data Structures, Software Debugging, Reinforcement Learning, Ios Frameworks, Technical Debt, Information Technology, Machine Learning Operations, Front End Software Development
- **Published:** July 29, 2026
- **Apply:** https://dejobs.org/x/x/90039C547B674F0B99C5044997B6C844/job/

## About the Role

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

## Description

* 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.


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