Remote Das Rf Engineer Jobs in New York, NY (NOW HIRING)

Remote | Electrical Engineering Simulation Expert (RF & Circuit Design)New York, New York, United StatesAbout the JobWe are sharing a specialised part-time consulting opportunity for electrical engineering professionals with deep expertise in RF and microwave systems, circuit simulation, computational modelling, and scientific software.This role supports the development of advanced AI benchmarks for research-level scientific and engineering problem solving. Selected experts will design original computational problems that require AI systems to use specialised engineering tools, run simulations, interpret results, recover hidden parameters, and reason through complex multi-step workflows.Key ResponsibilitiesRF & Microwave EngineeringDevelop challenging computational problems involving RF and microwave network analysisCreate tasks using S-parameters, transmission-line models, impedance behaviour, and network characterisationApply tools such as scikit-rf or comparable RF engineering softwareDesign problems that require interpretation of simulated or measured RF dataDevelop scenarios involving parameter recovery and inverse-analysis workflowsCircuit Simulation & AnalysisCreate expert-level circuit problems using ngspice or comparable circuit-simulation environmentsDevelop tasks involving operating-point analysis, frequency response, transient behaviour, and circuit characterisationDesign scenarios requiring recovery of circuit parameters from measurement or simulation outputsEvaluate circuit behaviour across complex multi-stage workflowsProduce reference solutions grounded in sound electrical engineering principlesScientific Problem & Benchmark DesignDesign original graduate-level problems based on realistic computational engineering workflowsCreate tasks requiring multi-step reasoning rather than straightforward calculationDevelop both fully specified computational problems and information-recovery challengesConstruct scenarios in which systems must strategically determine what to simulate, measure, or queryEnsure problems reward careful reasoning rather than surface-level pattern matchingSimulation Validation & Difficulty CalibrationTest problem designs against advanced AI systemsAnalyse model performance and identify where tasks are too easy, too ambiguous, or insufficiently rigorousRefine scenarios iteratively until they reach the intended technical difficultyDevelop oracle functions, validators, and reference solutions for computational tasksConfirm that problem setups are reproducible and technically well definedPython & Scientific ComputingWrite Python code supporting simulation setups, validation logic, and problem-generation workflowsWork with scientific libraries and engineering software in Linux and terminal-based environmentsBuild reproducible computational workflows suitable for remote executionDiagnose software limitations, numerical edge cases, and modelling assumptionsApply strong engineering judgement when interpreting computational resultsIdeal ProfileGraduate-level expertise in Electrical Engineering, RF Engineering, Microwave Engineering, Circuit Design, or a closely related STEM disciplineMS, PhD, or equivalent substantial research experienceStrong hands-on experience with RF, microwave, circuit simulation, or computational electrical engineeringProven proficiency with scikit-rf, ngspice, or comparable specialised scientific softwareExperience using engineering software in research, professional development, publications, or open-source projectsStrong Python programming skillsDeep understanding of S-parameters, RF network analysis, circuit behaviour, and simulation methodologyAbility to design technically challenging problems involving inverse analysis or parameter recoveryComfortable working in Linux, terminal environments, and remote compute sandboxesStrong understanding of numerical limitations, modelling assumptions, and scientific-software edge casesExperience with benchmark design, scientific education, examination development, or problem-set creation is advantageousFamiliarity with computational reproducibility or containerised environments is highly valuedEngagement DetailsPart-time independent contractor engagementFully remoteMinimum availability of approximately 15–20 hours per weekFlexible scheduling based on project requirementsCompensation: $60–$75/hourProjects may be extended, shortened, or concluded based on project needs and performanceWork must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third partyH1-B and STEM OPT support is unavailable for this engagementAbout the PlatformThis opportunity is available through 24-MAG LLC. 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