Quantum Systems Software Engineer: MBSE, HPC & Automation

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

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.