Product Software Modernization Engineer, Quantum AI

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; Goleta, CA, USA.Minimum qualifications:

• 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.
• 1 year of experience programming in Rust, Kotlin, or Python.

Preferred qualifications:

• Experience with Google Cloud Platform technologies, such as Cloud Storage or Cloud Spanner.
• Experience with Google Distributed Cloud.
• Experience with Infrastructure as Code platforms (e.g. Terraform).
• Experience with Bazel.
• Familiarity or education in quantum computing with enthusiasm to learn more.

About the jobGoogle'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 manage information at a 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 build 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 design and build the systems for packaging, deploying, and releasing core quantum software packages for the new quantum software product. You will work with the research, product, and software teams on the Quantum AI team.

Much of this work is greenfield, representing an opportunity for high-impact.The full potential of quantum computing will be unlocked with a large-scale computer capable of 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 $147,000-$211,000 + 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

• Analyze problems and recommend solutions for both short and long-term needs, taking ownership of goal and roadmapping to influence other engineers, while implementing solutions or delegating to colleagues.
• Drive outcomes as a key contributor, designing and implementing multi-quarter projects without supervision, consistently generating the ideas required to solve ambiguous problems.
• Write and review code to ensure best practices are met, contributing to data preparation, optimization, and performance enhancements confirming all aspects of technical work are high-quality.
• Incorporate feedback on designs to determine when to enhance existing systems or build new systems, and contribute to existing documentation or educational content.
• Collaborate with research groups and cross-functional teams, including hardware engineers, electronic engineers, or research scientists.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .