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1–1 jobs· newest first

Staff Software Engineer, Backend Infrastructure and Rapid Prototyping, Google LabsNew
Google · New York, US+2 more
$207K–$300KOn-site · Full-time · Senior

+10K new in the last hour

Staff Software Engineer, Backend Infrastructure and Rapid Prototyping, Google Labs

Google · Posted Nov 11, 2026

New York, New York, United States +2 more
On-site
Full-time · Senior
$207K–$300K per year
8+ years

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Lead backend infrastructure and rapid prototyping for Google Labs.

Locations (3)

New York, New York, United States
Cambridge, Massachusetts, United States
Mountain View, California, United States

Compensation

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Responsibilities

Design, develop, test, deploy, maintain, and enhance large-scale software solutions and resilient distributed backend infrastructure.
Provide technical leadership on generative media projects, managing project priorities, deadlines, and architectural deliverables.
Facilitate alignment and clarity across teams on goals, outcomes, and timelines, while influencing and coaching a distributed team of engineers.

Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide model optimization and data processing strategies.

Prototype innovative cross-stack features and clean APIs that bridge core multimodal generation pipelines with interactive user interfaces.

Requirements

Bachelor’s degree in Computer Science, Mathematics, or equivalent practical experience.
Nice to have: Master’s degree or PhD in Engineering, Computer Science, or a related technical field
Nice to have: advanced data structures and algorithms
Nice to have: technical leadership
Nice to have: cross-functional project experience

Skills

software development testing and launching software products software design and architecture speech/audio processing reinforcement learning ML infrastructure generative AI tools LLM interfaces distributed queueing infrastructure rapid prototyping cross-stack generative AI applications generative AI

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Benefits

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