Software Engineer, Quantum Systems & Digital Engineering

Infleqtion; Chicago (IL); On-site; USD 145,000 - 170,000; Full time

Benefits offered by this job

Medical, dental, vision

HSA

Unlimited PTO

401(k) match

Life and AD&D Insurance

FSA

Paid FMLA

Employee Assistance Program

Student Loan Repayment

Equity

Job summary

Infleqtion in Chicago, IL seeks a Software Engineer for Quantum Systems & Digital Engineering to build modular software environments uniting models, data, and engineering workflows across RF, optical, mechanical, and quantum domains.

The role combines scientific software development with MBSE, multiphysics simulation, HPC, and ML/optimization. You will collaborate with physicists, engineers, and software teams to deliver scalable, production-ready platforms and AI-assisted tooling.

Qualifications

• BS or MS in Computer Science, Physics, Applied Mathematics, Electrical Engineering, Mechanical Engineering, Systems Engineering, or a closely related field.
• Strong scientific or engineering software development experience, with high proficiency in Python and familiarity with numerical libraries.
• Experience integrating multiple simulation, modeling, or scientific computing tools.
• Strong understanding of numerical methods, optimization, simulation, data analysis, or computational modeling.
• Familiarity with MBSE concepts, requirements, interfaces, and multidisciplinary workflows.
• Experience with version control, automated testing, CI/CD, documentation, modular architecture, and maintainable APIs.

Responsibilities

• Develop and maintain modular software platforms that integrate models, data, and engineering workflows across RF, optical, mechanical, atomic physics, and other technical domains.
• Build interfaces between engineering and scientific computing tools, enabling coordinated simulation, analysis, optimization, and design workflows.
• Support MBSE activities by developing software tools that connect requirements, models, interfaces, parameters, verification data, and system-level performance.
• Develop HPC- and GPU-enabled workflows for parameter sweeps, sensitivity analysis, tolerance studies, optimization, and computationally intensive simulation.
• Apply numerical optimization, reduced-order modeling, surrogate modeling, machine learning, and other data-driven techniques to accelerate engineering design and improve manufacturability.
• Develop APIs, data models, schemas, visualization tools, and workflow orchestration capabilities that enable reliable exchange of information across heterogeneous engineering tools.
• Collaborate with domain experts to validate models against experimental data and translate engineering needs into maintainable, production-quality software.
• Embrace and help establish effective use of AI-assisted software engineering tools to accelerate development, testing, documentation, debugging, code review, and engineering analysis while maintaining strong software quality and technical rigor.
• BS or MS in Computer Science, Physics, Applied Mathematics, Electrical Engineering, Mechanical Engineering, Systems Engineering, or a closely related field.
• Strong scientific or engineering software-development experience, with high proficiency in Python and familiarity with modern numerical and scientific-computing libraries.
• Experience developing software that integrates multiple simulation, modeling, engineering, or scientific computing tools.
• Strong understanding of numerical methods, optimization, simulation, data analysis, or computational modeling.
• Familiarity with systems engineering concepts, including requirements, interfaces, system architecture, verification and validation, trade studies, or multidisciplinary engineering workflows.
• Experience with professional software-engineering practices including version control, automated testing, CI/CD, documentation, modular architecture, and maintainable API design.
• Demonstrated ability to collaborate effectively with scientists and engineers across multiple technical disciplines.
• Demonstrated ability and enthusiasm for using modern AI-assisted development tools to improve software-engineering productivity and quality.

Skills

Python

MBSE

Multiphysics

HPC

Machine Learning

Optimization

Data Analysis

Software Development

CI/CD

Education

BS or MS in Computer Science / Physics / Applied Mathematics / Electrical Engineering / Mechanical Engineering / Systems Engineering

Tools

Ansys

Zemax OpticStudio

SolidWorks

COMSOL

MATLAB/Simulink

Job description

We are seeking aSoftware Engineer, Quantum Systems & Digital Engineeringto develop advanced software tools for the design, simulation, integration, and manufacturing of complex quantum systems.

This role will focus on building modular software environments that connect models, data, and engineering workflows across multiple technical domains. Initial applications will include digital-twin and design-automation capabilities for quantum sensing systems, with broader opportunities to contribute to software infrastructure supporting quantum system development, manufacturing, test, and deployment.

The ideal candidate combines strong scientific software engineering skills with familiarity inmodel-based systems engineering,multiphysicssimulation, high-performance computing,machinelearningandoptimization. This individual will work closely with physicists, systems engineers, optical and mechanical engineers, manufacturing teams, and software developers to turn fragmented engineering workflows into scalable, integrated software platforms.

Job Responsibilities

• Develop andmaintainmodular software platforms that integrate models, data, and engineering workflows across RF, optical, mechanical, atomicphysics, and other technical domains.
• Build interfaces between engineering and scientificcomputing tools, enabling coordinated simulation, analysis, optimization, and design workflows.
• Supportmodel-based systems engineering (MBSE)activities by developing software tools that connect requirements, models, interfaces, parameters, verification data, and system-level performance.
• Develop HPC- and GPU-enabled workflows for parameter sweeps, sensitivity analysis, tolerance studies, optimization, and computationally intensive simulation.
• Apply numerical optimization, reduced-order modeling, surrogate modeling, machine learning, and other data-driven techniques to accelerate engineering design and improve manufacturability.
• Develop APIs, data models, schemas, visualization tools, and workflow orchestration capabilities that enable reliable exchange of information across heterogeneous engineering tools.
• Collaborate with domain experts tovalidatemodels against experimental data and translate engineering needs into maintainable, production-quality software.
• Embrace and helpestablisheffective use ofAI-assisted software engineering toolsto accelerate development, testing, documentation, debugging, code review, and engineering analysis whilemaintainingstrong software quality and technical rigor.
• BS or MS in Computer Science, Physics, Applied Mathematics, Electrical Engineering, Mechanical Engineering, Systems Engineering, or a closely related field.
• Strong scientific or engineeringsoftware-developmentexperience, with highproficiencyin Python and familiarity with modern numerical and scientific-computing libraries.
• Experience developing software that integrates multiplesimulation, modeling, engineering, or scientificcomputing tools.
• Strong understanding of numerical methods, optimization, simulation, data analysis, or computational modeling.
• Familiarity withsystems engineering concepts,including requirements, interfaces, system architecture, verification and validation, trade studies, or multidisciplinary engineering workflows.
• Experience with professional software-engineering practices including version control, automated testing, CI/CD, documentation, modular architecture, and maintainable API design.
• Demonstrated ability to collaborate effectively with scientists and engineers across multiple technical disciplines.
• Demonstrated ability and enthusiasm for using modernAI-assisted development toolsto improve software-engineering productivity and quality.

Preferred Qualifications

• Advanced degree in physics, engineering, computer science, applied mathematics, systems engineering, or a related computational discipline.
• Experience withmodel-based systems engineering (MBSE)tools, methodologies, or standards, such asSysML, digital thread approaches, requirements traceability, or model-centric engineering workflows.
• Experience withmultiphysicsor engineering platforms such as Ansys,ZemaxOpticStudio, SolidWorks, COMSOL, MATLAB/Simulink, or similar tools.
• Experience developing digital twins, simulation orchestration frameworks, engineering automation tools, or model-based design environments.
• Experience with machine learning, surrogate modeling, Bayesian optimization, uncertainty quantification, or design-space exploration.
• Familiarity with quantum technologies, optical systems, RF systems, atomic physics, precision sensing, or other complex physical systems.
• Experience with HPC, GPU acceleration, distributed computing, or cloud-based scientific-computing environments.
• Experience applying generative AI, coding agents, or other AI-enabled tools within scientific or engineeringsoftware-developmentworkflows.

• Salary range: $145,000 to $170,000 per year
• 100% company-paid medical, dental, vision, short/long-term disability
• Employer-funded Health Savings Account
• Unlimited PTO
• 401(k) match
• Company-paid Life and AD&D Insurance
• Flexible Savings Account
• Paid FMLA, Maternity/Paternity Leave
• Employee Assistance Program
• Student Loan Repayment
• Equity Package

Equal Opportunity

Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin color, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer.

Note

This position may require access to information protected under U.S. export control laws and regulations for quantum computing technology. Please note that any offer for employment may be conditioned on authorization to receive software or technology controlled under these U.S. export control laws and regulations without sponsorship for an export license.

Contact Information

If this opportunity interests you and you fit the job description, please submit an application. If you need assistance or an accommodation due to disability, please feel free to contact us at [e-mail].

Notice to Recruitment Agencies:

Infleqtion does not accept unsolicited resumes from agencies. Infleqtion is not responsible for any fees related to unsolicited resumes.