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Simulation Engineer

Remote · Pakistan Full-time

We are sharing a specialised part-time consulting opportunity for experienced engineering professionals with deep applied expertise in simulation, quantitative design, and first-principles engineering across control systems, analog or RF circuits, power electronics, or mechanical design. This role focuses on creating rigorous engineering simulation problems with quantitative specifications and measurable pass/fail criteria. Selected experts will define simulations, design technically challenging engineering tasks, establish acceptance thresholds, and evaluate whether proposed designs satisfy all stated requirements.

Key Responsibilities

Engineering Simulation Design - Develop technically rigorous simulations within your engineering domain - Define realistic system behaviour, constraints, parameters, and operating conditions - Build simulations that allow candidate designs to be tested quantitatively - Ensure simulations accurately reflect relevant engineering principles - Design problems that require genuine technical reasoning rather than simple factual recall Specification & Acceptance Criteria - Create detailed engineering specification sheets - Define clear quantitative requirements and pass/fail thresholds - Establish measurable criteria for evaluating design performance - Ensure all specifications can be validated through simulation - Identify interactions or trade-offs between competing design requirements Control Systems - Develop simulation problems involving control-system design and tuning - Define performance requirements for parameters such as stability, response characteristics, and controller behaviour - Evaluate proposed controller gains and system configurations - Assess whether designs satisfy all specified operating constraints - Apply first-principles reasoning to complex dynamic-system problems Analog, RF & Power Electronics - Design engineering tasks involving analog circuits, RF systems, or power electronics - Define circuit parameters and measurable electrical-performance requirements - Simulate proposed designs and evaluate whether specifications are satisfied - Assess trade-offs between competing circuit-design objectives - Identify technically invalid or incomplete design approaches Mechanical Design - Develop simulation-based problems involving mechanical geometry and design parameters - Define quantitative requirements for system or component performance - Evaluate candidate geometries against specified engineering constraints - Assess whether proposed designs satisfy multiple interacting requirements - Apply practical mechanical-engineering judgement to simulation outcomes Python-Based Simulation - Develop and maintain engineering simulations using Python - Translate physical and engineering relationships into computational models - Implement quantitative tests and automated acceptance checks - Ensure simulations behave predictably across relevant parameter ranges - Validate simulation outputs and identify modelling errors or unintended shortcuts Engineering Problem Design - Create problems that are challenging even for technically sophisticated solvers - Structure tasks so that successful solutions require iterative reasoning and design - Avoid problems that can be solved through obvious shortcuts - Ensure sufficient complexity while maintaining objective evaluation criteria - Write clear prompts that accurately communicate engineering objectives and constraints Design Evaluation - Evaluate proposed designs such as controller gains, circuit parameters, or mechanical geometries - Run candidate solutions through simulations and interpret resulting performance - Determine whether each design satisfies all required specifications - Identify failed constraints, engineering weaknesses, and invalid assumptions - Provide technically precise evaluation of proposed solutions Quality & Rigour - Verify that simulation logic, specifications, and grading criteria are internally consistent - Ensure engineering problems can be judged objectively and reproducibly - Identify edge cases or loopholes that could undermine task quality - Maintain high standards of numerical accuracy and technical rigour - Refine problems based on observed solver behaviour and evaluation outcomes Ideal Profile - Deep applied expertise in at least one of the following areas: - Control Systems - Analog Circuit Design - RF Engineering - Power Electronics - Mechanical Design - PhD or equivalent industry track record in a relevant engineering discipline - Strong understanding of first-principles engineering analysis and quantitative design - Comfortable building engineering simulations in Python - Able to express engineering requirements as measurable, testable thresholds - Experience designing or analysing systems where multiple specifications must be satisfied simultaneously - Strong ability to judge technically complex solutions rigorously - Comfortable working with GitHub - Comfortable using browser-based technical tools - Strong written communication and technical documentation skills - Prior model-evaluation experience is not required Engagement Details - Part-time independent contractor engagement - Fully remote - Flexible scheduling based on project requirements - Compensation: $50–$80/hour - Work focuses on engineering simulation, quantitative specification design, and technical evaluation - Daily onboarding calls and internal tooling support are available - Projects may be extended, shortened, or concluded based on project needs and performance - 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 About the Platform - This opportunity is available through 24-MAG LLC. - We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. - By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.

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