Jobs at Gramian Consulting Group

Perform aerodynamic and CFD analyses, build computational models and meshes, configure and run simulations, and validate numerical results. Write Python code to automate preprocessing, solver execution, parameter sweeps, postprocessing, and engineering workflows. Analyze lift, drag, pressure distributions, convergence, mesh quality, and flow behavior. Diagnose unstable or invalid simulations, justify modeling assumptions and solver settings, and document technical methodologies and results.

Design and evaluate rigorous hardware engineering problems for AI training projects. Develop reference solutions using calculations, simulations, Python scripts, engineering software, and experimental reasoning. Validate models against physical test data, create verification methodologies, investigate hardware failures, and document reproducible technical solutions. The role requires substantial hands-on hardware engineering experience, strong programming ability, and mandatory experience with AI Coding Agents.

Lead realistic, multidisciplinary mechanical engineering projects for an AI training program. Responsibilities include defining requirements, constraints, tasks, dependencies, deliverables, and acceptance criteria; coordinating engineering disciplines; evaluating design trade-offs; and incorporating mechanical design, engineering analysis, DFMA, manufacturing, verification, testing, and root-cause analysis into practical workflows.

Develop, validate, debug, and optimize machine learning models, training pipelines, inference systems, and numerical implementations using Python. Build reproducible workflows, diagnose computational issues, create systematic tests, and improve memory usage, throughput, and performance. Review code and solutions, use coding agents in development, document technical findings, and deliver reliable work independently within project deadlines.