Software Engineer, AI Innovation and Research, Task Automation

Senior • On-site

$197,000 - $291,000/yr

Mountain View, CA

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience testing, and launching software products.
3 years of experience with software design and architecture.
Experience with Generative AI Agents.
Experience with Large Language Models.

Preferred qualifications:

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience with data structures/algorithms.
3 years of experience in a technical leadership role leading project teams and setting technical direction.
Experience with Python.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Our team is using AI to enable a major technology shift in how users control their devices. We are building LLM-powered Agents that automate interactions with websites and applications, eliminating repetitive tasks and simplifying our digital lives.

In this role, you will be at the forefront of this mission, guiding the engineering strategy to make it a reality.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Define and drive the technical goal, architecture, and roadmap for a new generation of agentic automation capabilities.
Advise the team's technical efforts in advancing Google's Gemini models through innovative data processing, fine-tuning, Reinforcement Learning, and evaluation methodologies.
Mentor and grow a talented team of ML and Software engineers, fostering a culture of technical excellence, innovation, and collaboration through design reviews, code reviews, and direct guidance.
Serve as the technical liaison with partner teams in Google DeepMind, Google Research, and product areas like Chrome, Pixel, and Android to drive complex, cross-functional initiatives.
Make critical architectural decisions and resolve the team's most challenging technical issues in a highly ambiguous and fast-paced Research and Development environment.

Google

Google LLC started as a PhD project by Larry Page and Sergey Brin in 1998 at Stanford University. Google LLC has blossomed into a behemoth of the tech world. With its mission to organize the world's information and make it universally accessible and useful, Google’s search engine is its crown jewel. Online advertising, via AdWords and AdSense, forms the backbone of its financial success. Beyond search, Google has ventured into cloud computing, hardware, and software development. The innovative PageRank algorithm revolutionized search engine technology, and surviving the dot-com bubble burst and going public in 2004 spurred its meteoric growth. Acquiring YouTube stands as a testament to Google’s strategic expansion.