Systems Engineering Intern

Who We Are 

Nuro exists to better everyday life through robotics. Founded in 2016, Nuro has spent eight years developing autonomous driving (AD) technology and commercializing AD applications. The Nuro Driver™ is our world-class autonomous driving system that combines AD hardware with our generalized AI-first self-driving software. Built to learn and improve through data, the Nuro Driver™ is one of the few driverless autonomous technologies on public roads today. Nuro has raised over $2B in capital from Fidelity, Bailie Gifford, T. Rowe Price, Google, and other leading investors. We’ve partnered with some of the world’s most respected brands including Uber, FedEx, Domino’s, Walmart, Kroger, and 7-Eleven.

About the Role

We are seeking a motivated and technically curious intern to lead the development of a Proof-of-Concept (POC) project exploring the use of Large Language Models (LLMs) to assist in system analyses such as Hazard Analysis and Risk Assessment (HARA), Fault Tree Analysis (FTA) and Failure Modes and Effects Analysis (FMEA). Working closely with the domain experts, you will be hands-on in designing, building, and evaluating a tool that leverages cutting-edge AI to potentially enhance efficiency and coverage in systems engineering workflows. This is an exciting opportunity to gain experience at the intersection of AI, development and system safety.

About the Work

• Take primary ownership of the tool development under the guidance of senior team members.
• Research, design, and implement effective prompt engineering strategies to guide LLMs in generating relevant suggestions for HARA, FTA and FMEA tasks.   
• Develop Python code to interact with LLM APIs and process inputs/outputs.
• Collaborate with the team to build a simple user interface and evaluate the tool’s effectiveness.   
• Conduct iterative testing and refinement of the POC using existing analysis as examples.
• Work closely with the team to understand system analysis principles and evaluate the quality and relevance of LLM outputs.   
• Lead the creation of comprehensive project documentation, including design choices, prompt examples, evaluation findings, identified LLM limitations and future recommendations.   
• Regularly present progress, findings and challenges to the project team.

About You

• Currently pursuing a Bachelor's or Master's degree in Automotive Engineering, Systems Engineering, Robotics, or a related technical field.
• Solid programming skills in Python.
• Strong 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.
• Basic understanding of software development principles and version control.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Eagerness to learn about system analysis  (STPA, HARA, FTA, FMEA) – prior knowledge is a plus but not required.   
• Ability to work independently and manage project tasks effectively within a team environment.

Bonus Points

• Understanding of basic concepts in reliability or systems engineering

For this position, the reasonably expected base pay range is between $11,500 and $14,000/month. Your actual base pay will depend on several factors, including your experience, qualifications, education, location, and skills. 

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-DNP