Seeking experienced competitive programmers to design original programming challenges and develop C++ reference solutions to help train next-generation AI systems.
Computational Engineering Expert
Job description
As a Computational Engineering Expert, you will apply your expertise in simulation, systems engineering, and computational modeling to help train next-generation AI systems.
This role focuses on evaluating engineering workflows, benchmarking AI performance in technical simulations, and contributing expert reasoning across real-world computational engineering scenarios.
Your work will directly support AI systems operating in:
- Computational fluid dynamics (CFD)
- Finite element analysis (FEA)
- Simulation modeling
- Systems engineering
- Scientific computing
- Engineering optimization
Key Responsibilities
Contribute computational engineering expertise to AI benchmarking and evaluation projects
Analyze AI system performance across engineering scenarios involving:
- CFD
- FEA
- Robotics
- Control systems
- Simulation workflows
Review and improve:
- Technical datasets
- Simulation outputs
- Engineering workflows
- Modeling pipelines
Validate engineering solutions using tools such as:
- ANSYS
- Abaqus
- OpenFOAM
- COMSOL
- MATLAB
Produce detailed technical assessments and engineering feedback
Collaborate with interdisciplinary domain experts to identify:
- AI limitations
- Benchmarking gaps
- Optimization opportunities
Contribute to the creation of realistic engineering benchmarks for AI systems
Communicate complex engineering concepts clearly to technical and non-technical collaborators
Required Qualifications
PhD or equivalent research/industry experience in:
- Computational engineering
- Simulation engineering
- Systems engineering
- Related engineering disciplines
Strong expertise involving:
- CFD
- FEA
- Computational mechanics
- Robotics
- Signal processing
- Control systems
Hands-on experience with:
- ANSYS
- Abaqus
- OpenFOAM
- COMSOL
- MATLAB
Proficiency using:
- Python
- MATLAB
- Scientific scripting workflows
Strong:
- Systems thinking
- Technical reasoning
- Problem-solving abilities
Excellent written and verbal communication skills
Ability to translate complex engineering concepts into actionable insights
Preferred Qualifications
Experience involving:
- AI/ML engineering applications
- Engineering AI evaluation
- Scientific benchmarking
Familiarity with:
- HPC environments
- Optimization workflows
- Large-scale simulations
Publications, patents, or R&D experience in computational engineering or simulation-heavy environments
Work Structure
- Fully remote contractor role
- Flexible remote collaboration
- AI training and engineering evaluation focused work
About micro1
micro1 helps AI labs and enterprises build advanced AI systems through expert-driven training data, evaluations, and reinforcement learning environments.
Contributors help improve how AI systems reason about engineering simulations, scientific workflows, and complex computational systems.
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