Electrical Engineering Simulation Expert – RF & Circuit Design

This is a fully remote position, open to applicants in New York.

📋 Description

• Engage in the development of complex computational challenges related to RF and microwave network analysis.

• Formulate tasks utilizing S-parameters, transmission-line models, impedance behavior, and network characterization.

• Utilize scikit-rf or similar RF engineering software to analyze simulated or measured RF data.

• Construct circuit challenges using ngspice or equivalent circuit-simulation platforms.

• Design workflows for parameter recovery and inverse analysis.

• Generate original graduate-level problems reflecting realistic computational engineering practices.

• Create multi-step reasoning tasks and information-recovery challenges.

• Evaluate problem designs against advanced AI systems and assess model performance.

• Fine-tune scenarios to meet specified technical difficulty levels.

• Develop oracle functions, validators, and reference solutions.

• Ensure problem setups are reproducible and technically well-defined.

• Write Python code for simulation configurations, validation logic, and problem generation workflows.

• Construct reproducible computational workflows within Linux and terminal environments.

• Identify software limitations, numerical edge cases, and modeling assumptions.

• Analyze computational results with strong engineering judgment.

⛳️ Requirements

• Possess graduate-level expertise in Electrical Engineering, RF Engineering, Microwave Engineering, Circuit Design, or a closely related STEM field.

• Hold an MS, PhD, or equivalent substantial research experience.

• Demonstrate strong practical experience with RF, microwave, circuit simulation, or computational electrical engineering.

• Exhibit proven proficiency with scikit-rf, ngspice, or similar specialized scientific software.

• Have experience utilizing engineering software in research, professional development, publications, or open-source projects.

• Possess strong Python programming capabilities.

• Have a deep understanding of S-parameters, RF network analysis, circuit behavior, and simulation methodologies.

• Be capable of designing technically challenging problems involving inverse analysis or parameter recovery.

• Be comfortable working in Linux, terminal environments, and remote compute sandboxes.

• Have a solid understanding of numerical limitations, modeling assumptions, and edge cases in scientific software.

• Experience in benchmark design, scientific education, examination development, or problem-set creation is a plus.

• Familiarity with computational reproducibility or containerized environments is highly regarded.

• Availability of approximately 15–20 hours per week is required.

• Work must be accomplished without utilizing any confidential or proprietary information from any employer, client, institution, or third party.

• Note that H1-B and STEM OPT support is not available for this engagement.

🏝️ Benefits

• Enjoy flexible scheduling that adapts to project requirements.

• Work fully remotely.

• Projects may be extended, shortened, or concluded based on project needs and performance.