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- 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.
- 2 years of experience with data structures or algorithms.
Preferred qualifications:
- Experience developing compilers, simulators, or scientific software.
- Experience developing software in collaboration with research scientists.
- Experience in systems programming, High-Performance Computing (HPC), Real-Time Computing (RTC), device driver development, kernel development, concurrency, or low-level code optimization.
- Knowledge of quantum mechanics, quantum computing, quantum error correction, classical coding theory, linear algebra, or statistics.
- Knowledge of machine learning, artificial intelligence, neural networks, graph algorithms, or linear programming.
- Knowledge of CUDA, PTX, SASS, GPU I/O interfaces, or GPU internals.
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 full potential of quantum computing will be unlocked with a large-scale quantum 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 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 $136,000-$200,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. 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.
- Develop compiler for translating logical quantum computations to detailed low-level programs that realize quantum computations fault-tolerantly.
- Develop software system for real-time diagnostics of errors that inevitably occur in quantum computations due to noise and decoherence, using syndrome information from the quantum computer's readout electronics.
- Develop software framework for performance benchmarking of the above system for real-time error diagnostics.
- Develop simulations of error correction experiments.
- Gather software requirements by collaborating with researchers on error correction experiments and simulations.
Build for everyone Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university... Read more