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Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Minimum qualifications:

+ Bachelor’s degree or equivalent practical experience.

+ 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.

+ 2 years of experience with data structures or algorithms in either an academic or industry setting.

+ Experience developing Application Programming Interface (APIs) and integrating third-party services.

Preferred qualifications:

+ Master's degree or PhD in Computer Science or related technical fields.

+ 2 years of experience with performance, large-scale systems data analysis, visualization tools, or debugging.

+ Experience in code and system health, diagnosis and resolution, and software test engineering.

+ Experience with telemetry systems like open telemetry, prometheus, and monarch.

+ Experience with observability systems like grafana and Google Cloud Monitoring/logging/tracing.

+ Familiarity with quantum computing with enthusiasm to learn more.

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 Quantum research platform team mediates access to Google's quantum computers by developing both applications and the infrastructure that runs them.

In this role, you will collaborate with the quantum software infrastructure modernization project to improve service infrastructure with a focus on providing performant and reliable Remote Procedure Calls (RPC) services. You will work with service developers and infrastructure Software Engineers (SWEs) to build the foundations of core services for running Google's quantum computers. Initial projects include standardizing the collection of logs, metrics, and tracing across our system and providing horizontal instrumentation, alerting, and dashboards for service management.

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 $141,000-$202,000 + 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/) .

+ Write product or system development code.

+ Participate in design reviews with peers and stakeholders to decide amongst available technologies.

+ Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.

+ Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.

+ Collaborate with teams of different backgrounds, 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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.