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Salary: USD 145,000 - 170,000 / annual
Infleqtion is seeking a Software Engineer to develop advanced software tools for the design, simulation, integration, and manufacturing of complex quantum systems. This role focuses on building modular software environments that connect models, data, and engineering workflows across multiple technical domains, with initial applications in digital-twin and design-automation capabilities for quantum sensing systems.
Key responsibilities include developing and maintaining modular software platforms that integrate models and workflows across RF, optical, mechanical, and atomic physics domains; building interfaces between engineering and scientific computing tools; supporting model-based systems engineering (MBSE) activities; developing HPC- and GPU-enabled workflows for parameter sweeps, sensitivity analysis, and optimization; applying numerical optimization and machine learning techniques to accelerate design; developing APIs, data models, and visualization tools for information exchange across heterogeneous engineering tools; collaborating with domain experts to validate models; and embracing AI-assisted software engineering tools to accelerate development while maintaining quality.
Required qualifications include a BS or MS in Computer Science, Physics, Applied Mathematics, Electrical Engineering, Mechanical Engineering, Systems Engineering, or related field; strong scientific or engineering software-development experience with high proficiency in Python and modern numerical/scientific-computing libraries; experience integrating multiple simulation and modeling tools; strong understanding of numerical methods, optimization, and computational modeling; familiarity with systems engineering concepts including requirements, interfaces, and verification/validation; professional software-engineering practices including version control, automated testing, CI/CD, and modular architecture; ability to collaborate across multiple technical disciplines; and enthusiasm for modern AI-assisted development tools.
Preferred qualifications include an advanced degree in physics, engineering, or related computational discipline; experience with MBSE tools and methodologies (SysML, digital thread approaches); experience with multiphysics platforms (Ansys, Zemax, COMSOL, MATLAB/Simulink); experience developing digital twins or simulation orchestration frameworks; machine learning and surrogate modeling experience; familiarity with quantum technologies, optical systems, or precision sensing; HPC and GPU acceleration experience; and experience with generative AI tools in engineering workflows.
