Simulation/CAE-heavy mechanical engineering Expert

micro1 is engaging simulation/CAE-heavy mechanical engineering Experts to contribute their technical expertise to a dynamic customer project focused on leveraging advanced AI agents in real-world scenarios. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required, your domain knowledge is what matters. This opportunity is ideal for STEM professionals with deep experience in simulation and CAE, especially those who have adopted AI coding agents as integral tools in their workflows.

Scope of Work

• Provide detailed walkthroughs of how you employ AI coding agents such as Codex, Claude Science, Claude Code, and Claude Cowork in complex mechanical engineering simulation and CAE tasks.
• Demonstrate and document real-world applications where AI agents are used for navigating large codebases, debugging challenging issues, or developing end-to-end solutions, not just basic coding assistance.
• Describe and analyze the types of engineering problems, design challenges, or architectural changes addressed using AI-generated code sequences.
• Contribute written and verbal feedback about the performance and limitations of AI tools within the CAE and mechanical simulation domain.
• Curate representative examples and scenarios that illustrate advanced technical workflows involving AI agents, focusing on sequence generation rather than chatbot-style interactions.
• Articulate the approach, rationale, and complexity behind selected examples to provide actionable insights for the AI training process.
• Collaborate asynchronously with project leads and share input through clear and effective communication channels.

Preferred Qualifications

• Extensive hands-on experience in simulation and CAE-heavy mechanical engineering assignments.
• Proven proficiency with Codex, Claude Science, Claude Code, and Claude Cowork as coding sequence generators in technical scenarios.
• Demonstrated ability to apply AI agents to sophisticated engineering challenges, including navigating ambiguous requirements, large-scale debugging, or architectural overhauls.
• Exceptional written and verbal communication skills, with the ability to translate complex technical workflows into concise documentation and feedback.
• Active involvement in current STEM fields, using AI agentics as a practical extension of real-world engineering problem-solving.
• Experience documenting technical workflows and providing actionable insights for technology improvement or training purposes.
• Familiarity with the broader landscape of AI-driven engineering tools and a track record of experimentation and adaptation to new technologies.