Senior Software Engineer, Service Infrastructure, Quantum AI

Google • Seattle, WA

1d

About The Position

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.

As a part of the Google’s Quantum AI team, you will builds and run algorithms on today’s world leading quantum computers. As these machines grow from research prototypes into products, the software that orchestrates and executes quantum computations will need to transition into a form that more closely resembles traditional software products.

In this role, you will manage and lead a technical infrastructure team within Quantum AI. You will drive cross-team alignment on Remote Procedure Call (RPC) standardization and prioritize and guide the direction of related sub-projects. You will work closely with the research, product, and software teams on the Quantum AI team. You will develop new projects and solutions.

The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.

The US base salary range for this full-time position is $174,000-$252,000 + 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 [https://careers.google.com/benefits/].

Requirements

• Bachelor’s degree or equivalent practical experience.
• 3 years of software development experience or 1 year with an advanced degree.
• 2 years of experience working with Kubernetes.
• 2 years of experience building Remote Procedure Call (RPC) infrastructure.

Nice To Haves

• Experience as a Technical Lead (TL), manager, or in a similar leadership capacity on a customer-facing product.
• Experience with Google Cloud Platform technologies.
• Experience with Google Distributed Cloud.
• Experience with One Platform, Apigee, OpenAPI, AIPs, and other API standards.
• Experience building developer infrastructure.
• Familiarity or education in quantum computing with enthusiasm to learn more.

Responsibilities

• Drive outcomes as a key individual contributor, designing and implementing projects that span multiple quarters without supervision and generating the ideas required to solve ambiguous problems.
• Take ownership of the technical roadmap and goal to influence other engineers across the organization for our RPC system infrastructure, including discovery, auth, and observability.
• Write and review high-quality code to ensure best practices are met, contributing to data preparation, optimization, and system performance enhancements.
• Mentor other engineers through design reviews, code reviews, and direct technical guidance.
• Collaborate with hardware and research groups to incorporate feedback on designs for new or existing systems, and contribute to technical documentation or educational content.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level