2026 Summer Intern - Research & Development: Software System Safety, Virtualization, and Validation

• Develop tools leveraging LLMs to automate manual tasks employing RAG, fine tuning, and prompt engineering in the domain of System Safety, Manufacturing, Software Development Lifecycle.

Required Qualifications:

• U.S. citizenship required to comply with federal government contract provision expressly restricting role to U.S. citizens.

• Must be a current PhD student or second year master's student in engineering or science

• Research experience in at least one of the following areas: Software Engineering, System Design, AI/ML, Control Theory

• Strong theoretical, and software programming skills

What Will Give You a Competitive Advantage (Preferred Qualifications):

• Experience with AI and ML frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn

• Knowledge of software development methodologies and best practices

• Familiarity with data analysis, statistical modeling, and data visualization techniques

• Excellent problem-solving and analytical skills

• Strong written and verbal communication skills

• Demonstrates leadership in field of study, extra-curricular activities, or service organizations

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