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.

The Workflow Environments organization within Google Design Platform is on a mission to ensure that all Googlers who create things in a designer, developer, or prototyping workflow end up producing outputs that directly or indirectly use Google Material (our internal design system).

In this role, you will work across many surfaces that Googlers use in their workflows, like Figma, Cider-Visual, Artificial Intelligence Studio, etc. and build tools, products, and services that bring Google Material into those surfaces and thus into those designer, developer, and prototyping workflows.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

The US base salary range for this full-time position is $207,000-$300,000 + 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

• Design end-to-end systems that can be delivered quickly, but are architected well-enough to scale reliably as needed.

• Lead/contribute to the technical architecture of several partner teams.

• Help set and drive highly performant engineering culture.

• Mentor engineers across your team and potentially across the organization.

• Collaborate closely with Product Managers, Designers, Researchers, and other engineering teams both within organization and cross-organization.

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.

• 5 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.

• 3 years of experience with software design and architecture.

Preferred qualifications

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

• 8 years of experience with data structures and algorithms.

• 3 years of experience in a technical leadership role leading project teams and setting technical direction.

• 3 years of experience working in a matrixed organization involving cross-functional, or cross-business projects.

• Experience developing applied AI algorithms.

• Familiarity with frontend frameworks across web and mobile.