IonQ’s software engineers are developing the world’s first full-stack universal quantum computer based on ion traps. These computers are poised to unlock the staggering potential of the quantum realm and help remake industries like medicine, materials science, simulation, finance, strong A.I., machine learning, cryptography, high-performance supercomputing, and more.
As a software engineer, you’ll help build our next-generation quantum computer operating system, with opportunities to switch 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 stack as we continue to push quantum technology forward.
IonQ reflects the globally diverse audience that our products and technology serve. We believe that in addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and services.
Due to the pandemic, for the near future, you may work from anywhere. That said, there are advantages to living near our headquarters in College Park, Maryland due to our heavy interfacing with hardware. Located down the street from the University of Maryland, IonQ is a five minute walk to the Metro, which takes just twenty minutes to get to Washington, DC. Our office is a bright and open workspace, in a fun, fast-paced, and exciting environment, where we value each other’s unique qualities. If this sounds like the work environment for you, we encourage you to apply.
You’ll be improving the quality and optimizing the efficiency of our quantum computers by developing control routines and automated calibrations with our team of experimental physicist operators, and occasionally helping integrate new hardware into the system. You’ll be helping to collect and analyze massive amounts of data in a tight continuous improvement loop. Prior experience with optimal control techniques, optomechanical device control, and working with scientists will be hugely helpful; data analysis and statistical methods are essential.
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