Scientific Computing / Research Engineering Expert — Engineering
Explore this science & research opportunity. The information below summarizes the supplied role details; check the application page for the latest requirements and availability.
Role highlights & qualifications
- We are staffing a frontier AI initiative that requires strong Engineering experts to develop realistic, terminal-based scientific and technical tasks used to train and evaluate AI agents.
- The work involves translating authentic engineering workflows into reproducible computational tasks that test modeling, simulation, optimization, data processing, debugging, and technical validation. The role spans disciplines including mechanical, electrical, chemical, aerospace, civil, materials, biomedical, robotics, and control systems engineering.
- Design realistic, multi-step terminal tasks based on real-world 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.
- Develop tasks involving simulation, numerical analysis, optimization, control systems, signal processing, finite-element concepts, CAD-related data, and engineering design.
- 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.
- Strong scientific programming skills in Python, C/C++, Julia, MATLAB/Octave, Bash, or another relevant language.
- Hands-on experience working in Linux or terminal-based environments.
- Background in engineering simulation, modeling, numerical analysis, optimization, signal processing, control systems, or technical data analysis.
Information is summarized from the supplied job posting. Please verify location eligibility, compensation, contractual terms and current availability on the application page.