Staff Software Engineer, Frontend, Google Agentspace

Minimum qualifications:

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
• 1 year of experience leveraging AI tools or frameworks to accelerate development and engineering productivity.
• Experience with front-end languages (e.g., JavaScript or TypeScript).

Preferred qualifications:

• 1 year of experience in a technical leadership role.
• Experience leading front-end development at scale, with expertise in front-end frameworks (Angular, React, TypeScript) and system design.
• Experience building AI-powered product experiences and leveraging LLMs or other ML models to enhance user workflows.
• Ability to set technical goals and influence cross-functional teams.

About the job

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.

The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.

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

• Lead the design and development of complex, scalable frontend systems for Google Agentspace, remaining engaged in coding and implementation.
• Set technical direction, architecture, and best practices to ensure high-quality, performant, and reliable user experiences.
• Leverage AI tools and frameworks to accelerate development workflows, optimize productivity, and deliver innovative product features.
• Partner closely with product, design, and research teams to translate AI capabilities into intuitive and delightful user-facing experiences.
• Drive cross-functional initiatives, influencing technical strategy and shaping the long-term goal of Agentspace's product roadmap.