Engineering Simulation, Python Specialist

🔥 1 minute ago

🌐 Turkey, Brazil, +1 more countries – Remote

🇹🇷 Turkey – Remote 🇧🇷 Brazil – Remote 🇨🇴 Colombia – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Gramian Consulting

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2025

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Gramian Consulting is a remote-first consulting firm that connects engineering and data/AI talent with organizations through talent augmentation, recruiting, dedicated teams, and contractor management. The firm provides Data & AI services including LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure, and it offers mentorship and education programs for career readiness, interview preparation, and international market orientation. Rooted in hands-on engineering and recruiting experience, Gramian helps clients scale technical teams and extract business value from AI while developing individual talent.

📋 Description

• 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

• 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.