Systems Engineering Intern, Compliance Coverage ML

Nuro • Mountain View, CA

12d • Onsite

About The Position

As a Systems Engineering Intern for Compliance Coverage ML, you will own and lead the development of internal tooling using Large Language Models (LLMs) to accelerate the analysis and usage of our onroad driving compliance framework. Working collaboratively with domain experts and under the guidance of senior team members, you will be hands-on in requirements identification, design, implementation, and deployment of tooling that leverages cutting-edge AI technologies and Nuro’s compliance data libraries. Your work will support tasks such as regulation classification, behavior feedback, driving requirement assessment, and regulatory query/knowledge retrieval. This is an exciting opportunity to gain experience at the intersection of AI and Systems compliance in the AV industry.

Requirements

• Pursuing a Bachelors, Masters, or Doctoral degree in Systems Engineering, Computer Science, Robotics, or a related field.
• Experience in Artificial Intelligence (AI), Machine Learning (ML) with a focus on prompting Large Language Models (LLMs), and reviewing and evaluating outputs to ensure quality and interpretability.
• Ability to analyze the intent and applicability of laws, regulations, ordinances, acts, statutes, etc. in the scope of a specific system.
• Strong problem solving, programming, and data analytics skills in Python and SQL.

Nice To Haves

• Understanding of the Vehicle/Transportation Code (driving laws) of any US state.
• Experience with configuration management tools for requirements, documentation, and software (such as Jama, Polarion, Jira, Confluence, Git).
• Utilized Retrieval-Augmented Generation (RAG) techniques to enhance LLM outputs through connected databases.
• Experience using LLMs in regulatory environments.
• Familiarity with neural network and natural language processing (NLP) architectures.
• Familiarity with ML applications and techniques, such as pre-processing, classification, and categorization tasks.
• Ability to apply systems engineering concepts of requirements, verification, and validation.
• Front-end/UI development experience.

Responsibilities

• Design and implement effective prompt engineering strategies to guide LLMs in generating actionable responses for Systems compliance tasks.
• Develop Python code to interact with LLM APIs, access databases, and process inputs/outputs.
• Collaborate with the team to build a deployable user interface and evaluate the tool’s effectiveness through iterative testing/refinement.
• Regularly present progress, findings, and challenges to the project team.

What This Job Offers

• Career Level: Intern
• Number of Employees: 501-1,000 employees