Quantum Execution Stack Engineer, Quantum AI

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience in software development or 3 years of experience with an advanced degree.
• 2 years of experience programming in Rust or C++ or other system level programming languages.

Preferred qualifications:

• Experience with real time/high speed systems performing technically challenging tasks (e.g., digital signal processing, graphics processing, high frequency trading).
• Experience working with researchers and other highly technical teams with orthogonal skill sets.
• Knowledge of quantum computing or quantum control.

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.

Google’s Quantum AI team builds and runs 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 focus on building a new generation of the quantum execution stack and job orchestration. The scope includes client libraries, new IRs, job scheduling, and work with HALs. You will work closely with the hardware, software, and product teams on the Quantum AI team.

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 $166,000-$244,000 + 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

• Scope problems and recommend solutions for both short and long-term needs, taking ownership of vision and roadmapping 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 proactively to determine when to enhance existing systems or build new systems, and contribute to existing documentation or educational content.
• Work closely with other research groups and collaborate with teams of different backgrounds, including hardware engineers, electronic engineers, or research scientists.