
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.
🔥 0 minutes ago
🌐 United States, Canada, +3 more countries – Remote
⏳ Contract/Temporary
🟢 Junior
🧑💻 Full-stack Engineer
👻 Ghost score 12%
Where this job comes from
Posted on Gramian Consulting's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

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.
• Solve and validate complex aerodynamic and fluid dynamics problems • Translate physical engineering requirements into computational models and solver-ready cases • Create or modify geometries, computational domains, and meshes • Define initial conditions, boundary conditions, fluid properties, and solver settings • Execute CFD and aerodynamic analysis workflows using command-line-accessible tools • Write Python code to automate preprocessing, simulation execution, parameter sweeps, postprocessing, and validation • Develop scripts and computational workflows for engineering analysis • Calculate and interpret lift, drag, pressure distributions, and flow characteristics • Evaluate mesh quality, numerical convergence, solver stability, and physical validity of simulation results • Diagnose non-convergence, unstable solutions, incorrect results, and physically invalid outputs • Select and justify modeling assumptions, mesh strategies, boundary conditions, and solver configurations • Document technical methodologies, engineering decisions, and simulation results • Contribute to a specialized AI training project focused on aerodynamic analysis, engineering simulation, and Python-based computational workflows
• Master's or PhD in Aerospace Engineering, or Mechanical Engineering with a specialization in aerodynamics, fluid dynamics, or thermofluids • Bachelor's degree in Aerospace Engineering or Mechanical Engineering, combined with at least 1–2 years of relevant aerodynamics-specific professional or research experience • Strong understanding of fluid mechanics and applied aerodynamics • Practical experience formulating and executing CFD or aerodynamic analyses • Strong practical proficiency in Python, including the ability to write and debug code independently • Experience using Python for scientific computing, engineering automation, or computational analysis • Experience with at least one engineering tool or library accessible through a command-line interface, scripting interface, configuration files, or programmatic API • Ability to select and justify modeling assumptions, boundary conditions, mesh strategies, and solver settings • Ability to diagnose numerical convergence issues, unstable solutions, and physically invalid results • Strong quantitative, analytical, and problem-solving skills • Ability to communicate technical reasoning and engineering trade-offs clearly • Professional English proficiency at C1 level or higher
• Flexible schedule; choose your working days and hours, including weekends • Approximately 15 hours per week • Output-based compensation, with payment per task that meets project specifications
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