Jobs · Engineering · New York

Senior Software Engineer

Google · New York, NY · 2 wk ago
On-siteEngineeringFull-time

About the job

The US base salary range for this full-time position is $189,600 - $252,000 + 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 New York, NY office & may allow for a hybrid schedule as per Google policy.

Responsibilities

  • Build and enhance serving solutions for Gemini models, tailoring configurations to meet diverse client needs and testing for optimal performance.
  • Develop new infrastructure to support advanced capabilities, such as large-scale streaming and specialized audio logic within the orchestration framework.
  • Guarantee the quality of Gemini models in production by triaging system issues, debugging code, and implementing robust monitoring systems.
  • Collaborate with peers and stakeholders through design and code reviews to establish and maintain best practices in software development.
  • Drive the short-term technical vision and roadmap for your team, evolving strategies to meet future requirements and infrastructure needs.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field and 5 years of progressive post-baccalaureate experience in the job offered or in a Software Engineer-related occupation.
  • Alternatively, Master’s degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field, and 3 years of experience in the job offered or in a Software Engineer-related occupation.
  • Position requires 3 years of experience in the following: C++ for software development; Algorithm design and data structure selection for system scalability; Root cause analysis for debugging software and ML systems; Productionizing large language and multimodal models or ML infrastructure development for model deployment, evaluation, and optimization; and Software design and systems architecture for performance and reliability.

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