Senior Software Engineer, Google Labs AI

Google Labs AI is seeking a Senior Software Engineer to join their innovative team working on Google Flow, a groundbreaking product that makes creativity more accessible through AI technology. This role combines cutting-edge AI development with practical software engineering challenges, focusing on building scalable and user-friendly creative tools.

The position requires expertise in backend development, particularly with Kotlin or similar languages, and a strong foundation in system design and architecture. You'll be working on complex challenges including asynchronous APIs, video processing, and integration with Google's infrastructure. The role demands both technical excellence and leadership skills, as you'll be guiding technical decisions and collaborating across teams.

As part of Google Labs, you'll be at the forefront of innovation, working on early-stage efforts that have the potential to transform how users interact with Google's products. The team focuses on incubating new technologies and approaches that advance Google's core mission of organizing and making information accessible.

The compensation package is competitive, with a base salary range of $166,000-$244,000, plus bonus, equity, and comprehensive benefits. The position offers the opportunity to work from either Mountain View, CA or New York, NY, in a collaborative environment with some of the industry's best talents.

This role is perfect for someone who combines technical expertise with creative problem-solving, has experience with generative AI or rich media processing, and thrives in an ambiguous, fast-paced environment. You'll have the chance to make a significant impact on how millions of users create and interact with AI-powered creative tools.

The ideal candidate will have at least 5 years of software development experience, with 3 years focused on system design and architecture. A background in Computer Science or related field is required, with advanced degrees being a plus. Experience with AI technologies, particularly in generative AI or machine learning, would be highly valuable for this position.