Senior Computational Engineering Scientist

Crossing Hurdles; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

Crossing Hurdles is seeking a highly qualified engineer to design and develop multi-step, real‑world computational tasks for advanced training and evaluation of AI agents. You will build datasets, inputs, and configurations for complex simulations across multiple engineering domains, using Python, MATLAB/Octave, C/C++, and other tools.

The role emphasizes developing and validating reproducible workflows, automating tests, and creating robust environments with proper dependencies.

Qualifications

• Ph.D. in Engineering or closely related field.
• Expertise across multiple engineering disciplines (e.g., Mechanical, Electrical, Chemical, Aerospace, Civil, Materials, Biomedical, Robotics, Control Systems, Computational Design).
• Strong programming skills in Python, R, Julia, Bash, MATLAB/Octave, C/C++, or equivalent languages.
• Hands-on experience with Linux or terminal-based computational environments.
• Experience with engineering simulation, numerical analysis, optimization, signal processing, control systems, or scientific data analysis.
• Strong understanding of numerical methods, engineering units, physical constraints, boundary conditions, and validation.

Responsibilities

• Design realistic, multi-step scientific and engineering tasks based on real-world computational workflows.
• Develop datasets, simulation inputs, geometry files, sensor data, constraints, and configuration files for engineering problems.
• Build expert solutions using Python, R, Julia, Bash, MATLAB/Octave, C/C++, or relevant engineering tools.
• Develop and validate workflows involving simulation, numerical analysis, optimization, control systems, signal processing, and engineering design.
• Create reproducible computational environments with appropriate tools, dependencies, and configurations.
• Develop automated tests and objective grading criteria to validate engineering correctness, physical constraints, units, tolerances, convergence, and numerical behavior.
• Debug computational, solver, dependency, workflow, and performance issues and document assumptions and edge cases.
• Translate authentic engineering workflows into structured tasks for training and evaluating AI agents.

Education

Ph.D. in Engineering or related field

Tools

Python

R

Julia

Bash

MATLAB/Octave

C/C++

Linux

Job description

Crossing Hurdles is seeking a highly qualified engineer to design and develop multi-step, real‑world computational tasks for advanced training and evaluation of AI agents. You will build datasets, inputs, and configurations for complex simulations across multiple engineering domains, using Python, MATLAB/Octave, C/C++, and other tools.

The role emphasizes developing and validating reproducible workflows, automating tests, and creating robust environments with proper dependencies.