Software Engineer, Quantum Error Correction Decoding, Quantum AI

Staff Software Engineer, Quantum Error Correction Decoding, Quantum AI

Google Goleta, CA, USA;
Los Angeles, CA, USA; +4 more; +3 more

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

X 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. Applicants in San Francisco:
Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. 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

In most instances, this position requires in-person interviews as part of the hiring process.

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following:
Goleta, CA, USA;
Los Angeles, CA, USA;
Mountain View, CA, USA;
Seattle, WA, USA;
San Francisco, CA, USA
.

• Bachelor's degree in Computer Science, Electrical Engineering, Physics, Applied Mathematics, or equivalent practical experience.
• 5 years of software development experience using C++ or Python, with experience in data structures and computer science.
• Experience designing, implementing, and optimizing novel algorithmic solutions for computational or performance-critical problems.
• Experience in systems-level programming, code optimization, or high-performance computing (e.g., concurrency, multithreading, or GPU acceleration).
• Experience leading technical design, defining system architectures/APIs, and mentoring junior engineers.

• Master's degree or PhD in Physics, Computer Science, Mathematics, or a related quantitative field.
• Experience developing or benchmarking syndrome decoding algorithms (e.g., BP-OSD, MWPM, tensor networks, or neural network decoders).
• Familiarity with physical qubit platforms and architectures, particularly superconducting qubits, neutral atoms, or trapped-ion systems.
• Strong background in classical coding theory, graph algorithms, belief propagation, or probabilistic modeling.

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.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

On its fundamental level, our physical reality is quantum, but our most powerful computers are classical. As a result, we cannot efficiently simulate the fundamental level of our physical reality -- a major roadblock for a technological civilization. Our mission at Google Quantum AI is to develop this missing capability and unlock solutions to classically intractable problems. This entails developing a practical implementation of quantum error correction (QEC) to overcome noise and decoherence.
The QEC Software team is…