Software Engineer, Quantum Systems & Digital Engineering

Role Overview

Responsibilities

• Develop and maintain modular platforms across RF, optical, mechanical, atomic-physics, and related domains.
• Build interfaces between engineering and scientific-computing tools for simulation, analysis, optimization, and design.
• Support MBSE by connecting requirements, models, interfaces, parameters, verification data, and system performance.
• Develop HPC- and GPU-enabled workflows for parameter sweeps, sensitivity analysis, tolerance studies, optimization, and simulation.
• Apply optimization, reduced-order modeling, surrogate modeling, machine learning, and data-driven methods to engineering design.
• Develop APIs, data models, schemas, visualization tools, and workflow orchestration for heterogeneous engineering tools.
• Validate models against experimental data and translate engineering needs into maintainable production software.
• Use AI-assisted tools for development, testing, documentation, debugging, code review, and engineering analysis.

Required Qualifications

• Bachelor's or master's degree in a closely related technical field such as computer science, physics, engineering, or applied mathematics.
• Strong scientific or engineering software-development experience with high proficiency in Python.
• Familiarity with modern numerical and scientific-computing libraries.
• Experience integrating simulation, modeling, engineering, or scientific-computing tools.
• Understanding of numerical methods, optimization, simulation, data analysis, or computational modeling.
• Familiarity with systems-engineering concepts and multidisciplinary engineering workflows.
• Experience with version control, automated testing, CI/CD, documentation, modular architecture, and maintainable API design.
• Ability to collaborate with scientists and engineers across multiple technical disciplines.
• Ability and enthusiasm to use modern AI-assisted development tools.

Preferred Qualifications

• Advanced degree in a relevant computational or engineering discipline.
• Experience with MBSE tools, methodologies, or standards such as SysML and requirements traceability.
• Experience with Ansys, Zemax OpticStudio, SolidWorks, COMSOL, MATLAB/Simulink, or similar platforms.
• Experience with digital twins, simulation orchestration, engineering automation, or model-based design.
• Experience with machine learning, surrogate modeling, Bayesian optimization, uncertainty quantification, or design-space exploration.
• Familiarity with quantum technologies, optical systems, RF systems, atomic physics, or precision sensing.
• Experience with HPC, GPU acceleration, distributed computing, or cloud-based scientific computing.
• Experience applying generative AI, coding agents, or AI-enabled tools in scientific or engineering software development.

Compensation

• The posting states a salary range of USD 135,000–175,000.
• The benefits section states a salary range of USD 145,000–170,000 per year.

Workplace

• The position is hybrid and based in Chicago, United States.
• The role is in the Compute Business Unit.

Benefits

• Benefits include company-paid medical, dental, vision, disability, and life insurance.
• Additional benefits include a health savings account, flexible savings account, unlimited paid time off, 401(k) match, paid family leave, employee assistance, student loan repayment, and equity.

Application Notes

• An offer may be conditioned on authorization to receive technology controlled under U.S. export-control laws without sponsorship for an export license.