FY27 Research Intern 21 GAD

About the Role

The intern will develop the end‑to‑end sim‑agent, improve existing agents, create novel agents, and refine the overall workflow. Work will involve Python development of vision‑language (VLM), large‑language (LLM), machine‑learning, and rule‑based agents, as well as integration of simulation tools and thorough testing. • Develop VLM, LLM, ML, and rule‑based agents for the simulation workflow. • Write and improve Python code for agents and integrate simulation tools. • Test and validate individual agents and the end‑to‑end sim‑agent. • Document findings, potentially preparing a research publication.

Key Responsibilities

• ▸python development
• ▸agent design
• ▸simulation integration
• ▸testing
• ▸documentation
• ▸research

What You Bring

Candidates must be currently enrolled full‑time in a PhD or Master’s program and have mechanical‑engineering background covering design, risk assessment, and simulation validation. Experience with AI‑agent workflows, LLMs (training or fine‑tuning a plus), VLMs (QWEN a plus), machine‑learning techniques, MCP servers, and strong Python skills are required. Preferred qualifications include familiarity with simulation software such as SolidWorks, ANSYS, or Fusion, knowledge of the Finite Element Method, and experience reading or publishing research papers. Exposure to geometric deep learning, graph neural networks, and broader AI technologies is also valued. Autodesk’s software powers sustainable buildings, clean vehicles, smart factories, and major entertainment productions. The company’s culture emphasizes belonging, innovation, and making a positive impact, inviting interns to contribute meaningful work that helps build a better world. • Currently enrolled full‑time in a PhD or Master’s program. • Mechanical‑engineering experience in design, risk analysis, and simulation validation. • Experience building AI agentic workflows and using LLMs or VLMs (QWEN a plus). • Proficiency with Python and MCP server development. • Familiarity with simulation software such as SolidWorks, ANSYS, or Fusion and FEM concepts (preferred). • Knowledge of geometric deep learning, graph neural networks, and AI research (preferred).

Requirements

• ▸phd
• ▸mechanical eng
• ▸python
• ▸solidworks
• ▸llms
• ▸gnn

Benefits

The 2026 internship runs for 12 weeks in the United States (mid‑May to early August or mid‑June to early September) and 16 weeks in Canada (early May to late August); all positions are paid. Interns receive mentorship from industry leaders, participate in tech talks, and benefit from Autodesk’s Flexible Workplace model supporting office, remote, or hybrid work preferences. • Internship lasts 12 weeks (US) or 16 weeks (Canada), paid, with mentorship and tech talks. • Flexible work options (office, remote, hybrid) aligned with Autodesk’s workplace policy.

Work Environment

Hybrid