Remote | Simulation Engineer — $50–$80/hour

24-Mag•New York, NY

3d•Remote

About The Position

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.

Requirements

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

Nice To Haves

Prior model-evaluation experience is not required

Responsibilities

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
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
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
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
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
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
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
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
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