Senior Software Engineer, Quantum Computing Software, Quantum AI
Job description
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in a systems programming language (e.g., Rust, C/C++), and with data structures/algorithms.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- Experience working on interfacing with hardware.
Preferred qualifications:
- Experience with building performant and scalable quantum operating systems.
- Experience with concurrency and parallelism in Rust.
- Experience with HDLs such as Verilog or VHDL.
- Knowledge of quantum control and experimental systems for quantum control.
- Knowledge of digital logic design basics including counters, race conditions, and digital signal processing units.
- Knowledge of quantum computing or quantum physics.
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.
The Quantum Computing Software team supports the missions of Google's Quantum AI by using software engineering to improve features, performance, and usability for Google’s quantum processors.
In this role, you will support software and firmware for the interfaces between the quantum operating system and the hardware that controls the quantum computer, and for the quantum operating system itself. You'll work on projects including analyzing and improving performance, designing performant distributed and parallel systems, developing new kernel features, and firmware design, development, integration, and testing on FPGAs and other components of the quantum control stack.
Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.
Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field - we publish regularly in academic journals, release projects as open source, and apply research to Google products.
The US base salary range for this full-time position is $157,000-$235,000 + 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.
Responsibilities
- Define and work on new architectural features for scaling the quantum kernel using parallel and concurrent Rust code.
- Analyze Python and Rust code for performance bottlenecks and optimize code for performance.
- Work with FPGA designers and software engineers to define and build interfaces to quantum control hardware.
- Design new FPGA processing components and interface them with software.
- Participate in team discussions, review team code contributions, and review design documents.
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