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SupportFinity™

Software Engineer, Infrastructure, Quantum AI

seattle, WA

Check who can apply and the requirements below before continuing.

About this opportunity

SupportFinity™ lists this Software Engineer, Infrastructure, Quantum AI opportunity in seattle, Washington. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Software Engineer, Infrastructure, Quantum AI

Preferred working location: Seattle, WA, USA; Goleta, CA, USA

Benefits

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 (statutory, where applicable); 5 days/event (discretionary)

Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks

Baby Bonding Leave: 18 weeks

Holidays: 13 paid days per year

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.

2 years of experience managing automated build and deployment systems.

Preferred Qualifications

Experience with build and deployment tools.

Experience building developer infrastructure.

Familiarity or education in quantum computing with enthusiasm to learn more.

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 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.

The mission of this role is to build a computer and unlock solutions to classically intractable problems, as the roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications. You will build and run algorithms on today’s world‑leading quantum computers, and 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 implement systems to build and release core quantum software packages for a new quantum software product across a range of environments running team‑managed Kubernetes nodes. You will work closely with the research, product, and software team as 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.

US base salary range for this full‑time position is $147,000‑$211,000 + bonus + equity + benefits. 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.

Responsibilities

Scope problems and recommend solutions for both short and long‑term needs, taking ownership of goal and road‑mapping to influence other engineers, and implementing solutions or delegating to colleagues.

Drive outcomes as a key contributor, designing or implementing projects that span multiple quarters without supervision, and 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.

Seek out and 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 other research groups and teams of different backgrounds, including hardware engineers, electronic engineers, or research scientists.

EEO Statement

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.

About the Company

Google

#J-18808-Ljbffr

Worksite address

seattle, WA, 98127, US

Who can apply

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