Engineering Simulation, Python Specialist

Gramian Consulting

. Design realistic, multi-step terminal tasks based on engineering and scientific workflows.

Posted 9/23/2026contractRemote • Turkey, Brazil, ColombiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and validating engineering workflows, utilizing advanced programming skills in Python, C/C++, Julia, and MATLAB/Octave. Proficient in engineering simulation, numerical analysis, and optimization, with a strong understanding of technical validation and reproducibility in computational environments.

Highest-signal resume keywords

Ph.D. In EngineeringScientific Programming In PythonEngineering Simulation ExperienceNumerical Analysis ExpertiseLinux Environment Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonC/C++JuliaMATLAB/OctaveBashNumerical MethodsEngineering DesignSignal ProcessingControl SystemsTechnical Data Analysis

Tools & Technologies

Containerized EnvironmentsEngineering SoftwareAutomated Testing Tools

Industry Keywords

Engineering WorkflowsSimulation InputsDesign ConstraintsReproducibilityTechnical Validation

Tech Stack

Tools & technologies

LinuxPythonC++

About the role

Key responsibilities & impact

Design realistic, multi-step terminal tasks based on engineering and scientific workflows.
Create engineering datasets, simulation inputs, geometry files, sensor data, design constraints, and configuration files.
Develop expert solutions using Python, C/C++, Julia, MATLAB/Octave, Bash, or relevant engineering software.
Build reproducible, containerized environments with appropriate tools and pinned dependencies.
Develop tasks involving simulation, numerical analysis, optimization, control systems, signal processing, FEM concepts, CAD-related data, and engineering design.
Create automated tests and objective grading criteria that validate engineering correctness, including units, physical constraints, tolerances, convergence, stability, and boundary conditions.
Debug solver, dependency, workflow, precision, and performance issues.
Document assumptions, requirements, expected outputs, edge cases, and technical validation procedures.
Review task solvability, reproducibility, and scientific accuracy.
Incorporate feedback to improve task quality and evaluation reliability.

Requirements

What you’ll need

Ph.D., postdoctoral experience, or equivalent advanced technical experience in an engineering discipline, such as mechanical, electrical, chemical, aerospace, civil, materials, biomedical, robotics, or control systems engineering.
Strong scientific programming experience in Python, C/C++, Julia, MATLAB/Octave, Bash, or a comparable language.
Hands-on experience working in Linux or terminal-based environments.
Experience with engineering simulation, modeling, numerical analysis, optimization, signal processing, control systems, or technical data analysis.
Strong understanding of numerical methods, engineering units, physical constraints, boundary conditions, and technical validation.
Ability to build, debug, and validate reproducible computational engineering workflows.