
2 - 10 employees
🤝 B2B
💼 Consulting
B2B • Consulting
24-MAG is a commercial strategy and execution firm that helps B2B organizations design and implement systems, workflows, and operating rhythms for sales, client management, and cross-functional projects. They focus on transforming scattered processes into aligned, measurable, and scalable commercial functions—covering pipeline structure, account management frameworks, and operational discipline for teams seeking efficient, intentional growth.
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2 - 10 employees
🤝 B2B
💼 Consulting
B2B • Consulting
24-MAG is a commercial strategy and execution firm that helps B2B organizations design and implement systems, workflows, and operating rhythms for sales, client management, and cross-functional projects. They focus on transforming scattered processes into aligned, measurable, and scalable commercial functions—covering pipeline structure, account management frameworks, and operational discipline for teams seeking efficient, intentional growth.
• Develop challenging computational problems involving RF and microwave network analysis • Create tasks using S-parameters, transmission-line models, impedance behaviour, and network characterisation • Apply scikit-rf or comparable RF engineering software to simulated or measured RF data • Develop circuit problems using ngspice or comparable circuit-simulation environments • Design parameter-recovery and inverse-analysis workflows • Create original graduate-level problems based on realistic computational engineering workflows • Develop multi-step reasoning tasks and information-recovery challenges • Test problem designs against advanced AI systems and analyse model performance • Refine scenarios to achieve intended technical difficulty • Develop oracle functions, validators, and reference solutions • Confirm reproducible and technically well-defined problem setups • Write Python code for simulation setups, validation logic, and problem-generation workflows • Build reproducible computational workflows in Linux and terminal-based environments • Diagnose software limitations, numerical edge cases, and modelling assumptions • Interpret computational results using strong engineering judgement
• Graduate-level expertise in Electrical Engineering, RF Engineering, Microwave Engineering, Circuit Design, or a closely related STEM discipline • MS, PhD, or equivalent substantial research experience • Strong hands-on experience with RF, microwave, circuit simulation, or computational electrical engineering • Proven proficiency with scikit-rf, ngspice, or comparable specialised scientific software • Experience using engineering software in research, professional development, publications, or open-source projects • Strong Python programming skills • Deep understanding of S-parameters, RF network analysis, circuit behaviour, and simulation methodology • Ability to design technically challenging problems involving inverse analysis or parameter recovery • Comfortable working in Linux, terminal environments, and remote compute sandboxes • Strong understanding of numerical limitations, modelling assumptions, and scientific-software edge cases • Experience with benchmark design, scientific education, examination development, or problem-set creation is advantageous • Familiarity with computational reproducibility or containerised environments is highly valued • Minimum availability of approximately 15–20 hours per week • Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party • H1-B and STEM OPT support is unavailable for this engagement
• Flexible scheduling based on project requirements • Fully remote work • Projects may be extended, shortened, or concluded based on project needs and performance
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