{"id":466915,"url":"https://alion.io/job/quera-computing-quantum-calibration-engineer-quantum-computing-services","title":"Quantum Calibration Engineer, Quantum Computing Services","company":{"id":179594,"name":"QuEra Computing","domain":"quera.com","url":"https://alion.io/company/quera-computing","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"C","score":67,"open_postings":69,"ghost_share":0.551,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-29T05:45:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Tsukuba, Japan"],"countries":["JP"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Git","optional":false},{"name":"Matplotlib","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"SciPy","optional":false},{"name":"C++","optional":true},{"name":"Docker","optional":true},{"name":"Kubernetes","optional":true},{"name":"Machine Learning","optional":true},{"name":"Time Series Forecasting","optional":true}],"status":"live","first_seen_at":"2026-02-19T18:02:35Z","employer_posted_date":"2026-06-28","last_verified_at":"2026-09-29T18:30:18Z","board_verified":true,"closed_at":null,"days_open":222,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":221},"description":"Quantum Calibration Engineer, Quantum Computing Services \n\nSummary: \nQuEra is seeking Quantum Calibration Engineers to join a growing effort focused on developing, testing and deploying calibration and performance characterization software on QuEra’s neutral-atom quantum computers, translating experimental physics and data analysis into automation. This is a critical effort towards achieving programmability, reliability and peak performance of these machines for research, application development and commercial uses. Your work will directly shape how QuEra’s quantum computers are characterized, stabilized, and improved over time, laying the foundation for scalable, self-calibrating quantum platforms. \nIn this role, you will work closely with physicists, software engineers, hardware specialists and actual quantum computers across QuEra’s global sites. You will be responsible for designing efficient measurements of key system parameters, developing robust data-analysis pipelines, and building tools that translate raw experimental results into actionable insights for machine optimization. \nThis role is part of QuEra’s Quantum Computing Services team and is based at QuEra’s Boston headquarters. The team’s mission is to develop QuEra’s neutral-atom technology into cutting-edge quantum computing products and services. \nCore Responsibilities \nDesign data-efficient experimental routines, robust data analyses and troubleshooting workflows to extract key system parameters and insights.\nDevelop, refine, and maintain calibration pipelines consisting of complex data flows.\nDevelop robust data-fitting and optimization routines.\nValidate, document and track calibration results, ensuring reproducibility and traceability across different hardware and software generations, and across machine deployments. \nQualifications \nRequired \nStrong proficiency in Python, including experience with data analysis and visualization libraries (e.g., NumPy, SciPy, Pandas, Matplotlib). \nHands-on experience working with real experimental or measurement data, including noise handling, curve fitting, and model validation. \nFamiliarity with optimization and regression techniques, both classical (e.g., least-squares, nonlinear fits) and statistical (e.g., Bayesian inference, parameter estimation). \nComfort working in a hardware-facing environment, integrating software with lab instruments, data acquisition systems, or experimental control frameworks. \nSolid understanding of version control (Git) and structured software development practices (testing, modularity, documentation). \nStrong problem-solving ability, scientific curiosity, and a willingness to learn new physical systems quickly.\nEager to grow from a capable engineer into a domain expert in quantum device \nEnjoys hands-on experimentation, iteration, and uncovering structure in data. \nComfortable working across abstraction layers, from analyzing raw voltage traces to designing experiment-level calibration strategies. \nCollaborative and adaptable; able to operate in an interdisciplinary environment spanning science, software, and hardware teams.\nNice to have \nExperience with machine learning or data-driven modeling (e.g., for pattern recognition, drift prediction, or parameter inference). \nExposure to experimental physics or optics in a lab environment.\nTheory and practice of control systems.\nFamiliarity with Kubernetes, Docker, or distributed analysis systems for scaling calibration and data pipelines. \nKnowledge of signal processing and time-series analysis for extracting trends or correlations in data.\nProficiency in C or C++.\nEducation & Experience \nBachelor’s or Master’s degree in Physics, Electrical Engineering, Computer Science, Applied Mathematics, or a related quantitative field. \nCandidates with diverse or nontraditional backgrounds who demonstrate strong programming and analytical skills are encouraged to apply. \n Experience or exposure to experimental research, data-driven system optimization, or hardware-software integration (through research, internships, or personal projects) is a strong plu\nWe consistently monitor external market data and update base salary ranges accordingly. We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience. In addition to our base salary offerings, we also provide equity grants for all new hires.","description_format":"text","description_chars":4423,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Quantum Science & Computing","Professional Services","Science & Engineering"],"lifecycle":[{"event":"open","at":"2026-09-06T12:19:24Z"}],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.204,"p_room":0.28,"age_days":221,"expected_fill_days":106,"reasons":["conf:0","stale_co","velocity","ghost","win:tail","crowd:"],"computed_at":"2026-09-29T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/quera-computing-quantum-calibration-engineer-quantum-computing-services","json_url":"https://alion.io/job/quera-computing-quantum-calibration-engineer-quantum-computing-services.json","meta":{"generated_at":"2026-09-30T00:39:23Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":532,"day_limit":5000,"remaining_today":4468,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}