Senior Software Engineer (Measurement and Bring-up)

You will work closely with quantum device characterization experts, experimental physicists, and the teams building instrument racks and control infrastructure across multiple quantum labs.You will collaborate with the Measurement team to translatebring-up and tuningroutines into high-quality software: aligning on APIs and abstractions, mapping requirements to the larger bring-up stack, and ensuring the instruments are used effectively to achieve repeatable, trustworthy results. You will deliver features end-to-end-implementation, testing, documentation, operationalization, and iteration based on user feedback-making pragmatic trade-offs under time pressure whilemaintainingcode quality and long-term maintainability.

Responsibilities

• Work with the Measurement team to implement andmaintainmeasurement, characterization, and bring-up routines for qubit devices-turning experimental intent into robust, repeatable software workflows used in the laband in the quantum machine.

• Develop Python software that controls and coordinates a complex instruments rack (timing, triggering, waveform generation, acquisition, and metadata capture) to execute high-fidelity experiments reliably and safely.

• Partner with scientists and engineers to translate user stories into requirements; propose designs that fit the larger bring-uparchitecture anditerate based on feedback from day-to-day lab usage.

• Build reusable building blocks (drivers/wrappers, experiment templates, calibration primitives, analysis utilities, configuration/schema models) that enable rapid development of new routines.

• Ensure measurement data is high quality and traceable: consistent metadata, validation, versioning, and reproducible analysis pipelines.

• Contribute to software engineering best practices: code reviews, testing, CI/CD, packaging, documentation, andon-call/triage support as needed in a fast-moving environment.

• Troubleshoot end-to-end issues across software and hardware boundaries (instrument communications, timing, signal integrity symptoms reflected in data) and make cleartrade-offsbetween rapid bring-up and long-term robustness.

• Doctorate in Computer Science, Software Engineering, Mathematics, Physics, Physical Sciences, or related field AND 1+ year(s) software industry experience, including research and/or development of commercial software, compilers, scientific computing applications, or multi-component systems

• OR Master's Degree in Computer Science, Software Engineering, Mathematics, Physics, Physical Sciences, or related field AND 3+ years software industry experience, including research and/or development of commercial software, compilers, scientific computing applications, or multi-component systems
• OR Bachelor's Degree in Computer Science, Software Engineering, Mathematics, Physics, Physical Sciences, or related field AND 4+ years software industry experience, including research and/or development of commercial software, compilers, scientific computing applications, or multi-component systems
• OR equivalent experience.

• 4+ years programming experience in related programming languages.
• 4+ years experience in a collaborative environment.

Other requirements

• Abilityto meet Microsoft,customerand/or government security screening requirements arerequiredfor this role. These requirements include, but are not limited to the following specialized security screenings:

• Microsoft Cloud Background Check: This position will berequiredto pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
• Citizenship & Citizenship Verification: This role will require access to information that is controlled for export under export control regulations, potentially under the U.S. International Traffic in Arms Regulations (ITAR) or Export Administration Regulations (EAR), the EU Dual Use Regulation, and/or other export control regulations. As a condition of employment, the successful candidate willbe requiredto provide either proof of their country of citizenship or proof of their U.S. permanent residency or other protected status (e.g., under 8 U.S.C. * 1324b(a)(3)) for assessment of eligibility to access the export-controlled information. To meet this legal requirement, and as a condition of employment, the successful candidate's citizenship will be verified with a valid passport. Lawful permanent residents, refugees, and asylees may verify status using other documents, where applicable.

• Ability toleverageAI tools to drive innovation and efficiency (e.g., research gathering, day to day task automation)., * Doctorate in Computer Science, Software Engineering, Physics, Electrical Engineering, or related fieldAND 2+ years software industry experience

• OR Master's Degree in a related field AND 4+ years software industry experience
• OR Bachelor's Degree in a related field AND 6+ years software industry experience

• 2+ years of prior experiencebuilding software for qubit (or closely related) test, characterization, calibration, or bring-up routines, including hands-on work with lab instrumentation and measurement workflows.
• Experience with instrumentation control and lab automation frameworks (e.g.,QCoDeSor similar), including driver development and integration with vendor SDKs. Experience developing software that interacts with sophisticated hardware(instrument racks, RF/microwave equipment, digitizers, AWGs, DC sources, cryogenic/facility sensors, or similar), including debugging communications, timing/triggering, and reliability issues.
• Strong Python software engineering skills: writing maintainable, testable code; solid grasp of language idioms and the standard library; experience with the scientific Python stack (e.g., NumPy, SciPy, pandas,xarray) and typed/data-modelingapproaches (e.g.,pydantic). Familiarity with modern development operationsand tooling such asCI&CD on platforms likeGitHubandAzure DevOps, and Python tooling (pip/uv, ruff, pre-commit,packagingand dependency management).
• Experience designing experiment abstractions, configuration systems, and data/metadata schemas for traceable measurement at scale. Experience with scientific data analysis pipelines, statistical methods, optimization/fitting, and uncertainty quantification applied to device characterization.
• Experience improving engineering quality in research environments (test strategies for hardware-interfacing code, simulation/mocking of instruments, reliability engineering).
• Collaborative engineering experienceworking with other software developers on shared codebases: design discussions, code reviews, feature ownership, and incorporating feedback from both peers and end users. Strong analytical and problem-solving skills, including comfort working under time pressure and making pragmatic decisions balancing speed, quality, and robustness.
• Customer obsession:demonstratedability todistilrequirements from user stories, fit requests into a larger architecture, deliver iteratively, and communicatetrade-offsclearly.
• Familiarity with observability/telemetry and data platforms used for debugging large experimental systems (structured logging, time-series data, Kusto/Azure Data Explorer, or equivalent).
• Embody ourCulture and Values.

#Quantum #QuantumCareers #MDQCareers

Quantum Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800.00 - $234,700.00 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200.00 - $261,000.00 per year.

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