# Evelyn Okasinski > Lead Software Engineer at Rigetti Computing Location: Oakland, California, United States Profile: https://flows.cv/evelynokasinski ## Work Experience ### Lead Software Engineer @ Rigetti Computing Jan 2023 – Present Enabling physicists to characterize more qubits, more deeply, in less time. Working closely with physicists to create UIs that are productive, fun, and sharable. Helping to gather requirements, write the simplest solution, and communicate between software and physics. Paying attention to broken windows, developer experience, and overall roadmap. ### Senior Software Engineer - Quantum Measurements & Analysis @ Rigetti Computing Jan 2022 – Jan 2023 ### Software Engineer - Quantum Measurements & Analysis @ Rigetti Computing Jan 2021 – Jan 2022 ### Quantum Systems Engineer Intern @ Rigetti Computing Jan 2021 – Jan 2021 Characterized phase drift in RF control electronics and its impact on the stability of readout fidelity in superconducting quantum computers. Diagnosed the root cause of an obscure and intermittent hardware bug causing incorrect readout results to be returned to customers. Gave internal presentations about software techniques used to diagnose the root cause. ### Research Staff @ Cornell University Jan 2020 – Jan 2020 | Ithaca, New York, United States Characterizing germanium as a hard x-ray sensor material for imaging detectors • Constructing & verifying a cryogenic test setup with stable temperature control, high vacuum, electrical feedthroughs, etc • Verifying signal integrity, calibrating against temperature drift, and validating performance characteristics of the mixed-mode readout ASIC • Characterizing a variety of unknown defects observed in the germanium sensors and diagnosing the source ### Student Researcher @ Cornell University Jan 2018 – Jan 2020 | Ithaca, New York Area Investigating novel perovskite crystals with application to hard x-ray detectors under the guidance of Prof. Sol Gruner, in collaboration with Prof. Tyrel McQueen's group at Johns Hopkins University • Determined quantities of interest and developed a measurement strategy • Designed & built a fully automated, remotely controlled testbench capable of applying a bias to a crystal and measuring its response at the σ=20fA level with temperature and atmosphere control • Run for more than 1300 hours and has been verified against drift with multiple fiducial materials • Performing space-charge limited current analysis and investigating complex phenomena involving long-term drift due to applied bias, temperature changes, and atmosphere exposure • Regularly present updates as seminar-style presentations with accompanying papers ### Temporary Research Staff @ University of Pennsylvania Jan 2018 – Jan 2018 | Greater Philadelphia Area Developed components of the data acquisition system used for muon-tomographic imaging of the Santa Maria Cathedral in Italy • Developed a FPGA-based readout system capable of detecting events, recording and buffering data, and tracking detector performance • Developed an Ethernet interface to the FPGA allowing full control of the detector through automated Python scripts • Began small scale production and performance verification of front-end readout boards utilizing ASICs in BGA packages originally designed for ATLAS at the LHC • Delivered fully operational readout solution to Los Alamos National Labs ### QuarkNet Intern @ University of Pennsylvania Jan 2017 – Jan 2017 | Greater Philadelphia Area Lead the development of a demonstration cosmic ray tracker based on proportional drift tubes, and presented a fully operational detector with nearly 10,000 recorded events • Created FPGA firmware to detect events and perform a buffered readout of the detector • Developed a lightweight communication protocol to stream data to a Raspberry Pi • Wrote Python scripts to visualize cosmic ray tracks and analyze detector performance variations ## Education ### Engineering Physics Cornell University ## Contact & Social - LinkedIn: https://linkedin.com/in/evelyn-okasinski --- Source: https://flows.cv/evelynokasinski JSON Resume: https://flows.cv/evelynokasinski/resume.json Last updated: 2026-03-29