Who We Are Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.About the Role As a Systems Engineering Intern for Scenario Taxonomy, you'll help make Nuro AI Driver safer and more reliable. You'll work with experts in systems, robotics, data infrastructure, compliance, and safety to improve our validation process related to scenario specifications and test coverage. You will be involved in specifying and validating the taxonomy that is used in development, V&amp;V, and safety assessment.About the Work <ul><li>Help specify and decompose the hierarchical scenario space into a scenario taxonomy for L4 autonomous vehicles.</li><li>Identify and design key features of the Scenario Taxonomy, taking into account system capabilities and stakeholder requirements.</li><li>Assess the Scenario Taxonomy against the system’s ODD for data correctness/accuracy, for sufficiency in identifying failure modes, and against standards and industry best practices.</li><li>Work closely with teams across Nuro including Systems V&amp;V, Autonomy Development, Mapping, Data Infrastructure, and Operations.</li></ul>About You <ul><li>Pursuing a bachelors, masters, or doctoral degree in engineering, computer science, physics, mathematics, or related field.</li><li>Past evidence of strong analytical and systems-thinking skills with attention to detail.</li><li>Ability to understand and work within existing taxonomy efforts, including database structures and storage.</li><li>Strong communication skills - both verbal and written.</li><li>Experience driving a motorized vehicle on public roads in the US, in any capacity.</li></ul>Bonus Points  <ul><li>Ability to apply systems engineering concepts of requirements, verification and validation.</li><li>Basic understanding of autonomous vehicle technology, especially sensors and perception and classification capabilities.</li><li>Familiarity with the capabilities and limitations of simulation.</li><li>Detailed understanding of driving rules/regulations and/or traffic engineering.</li><li>Ability to write code in Python and write basic data queries.</li><li>Experience with configuration management tools for requirements, documentation, and software.</li></ul> Note: This is a fall internship that will require in-office presence of 3-4 days a week in our Mountain View, CA location. For this position, the reasonably expected pay range is between $11,500 to $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.

We believe that great technology should benefit everyone. The team at Nuro is accelerating a future where robots make life easier and help us connect to the people and things we love. Together, we're pushing the boundaries of robotics to improve human life.
Dave Ferguson and Jiajun Zhu have devoted their careers to robotics and machine learning, most recently as Principal Engineers at Google's self-driving car project (now Waymo). They founded Nuro in 2016 to harness the power of robotics and artificial intelligence to solve new challenges at a global scale.
Our vehicle is a fully autonomous, on-road vehicle designed to transport goods quickly, safely, and affordably.
With no driver or passengers to worry about, our vehicle has been engineered from the ground up to keep what's outside even safer than what's inside.
Efficient, electric, and fully autonomous, it delivers life's needs at a price anyone can afford.

Systems Engineering Intern, Scenario Taxonomy

Who We Are&nbsp;Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future.About the Role As a Systems Engineering Intern for Scenario Taxonomy, you'll help make Nuro AI Driver safer and more reliable. You'll work with experts in systems, robotics, data infrastructure, compliance, and safety to improve our validation process related to scenario specifications and test coverage. You will be involved in specifying and validating the taxonomy that is used in development, V&amp;V, and safety assessment.About the Work <ul><li>Help specify and decompose the hierarchical scenario space into a scenario taxonomy for L4 autonomous vehicles.</li><li>Identify and design key features of the Scenario Taxonomy, taking into account system capabilities and stakeholder requirements.</li><li>Assess the Scenario Taxonomy against the system’s ODD for data correctness/accuracy, for sufficiency in identifying failure modes, and against standards and industry best practices.</li><li>Work closely with teams across Nuro including Systems V&amp;V, Autonomy Development, Mapping, Data Infrastructure, and Operations.</li></ul>About You <ul><li>Pursuing a bachelors, masters, or doctoral degree in engineering, computer science, physics, mathematics, or related field.</li><li>Past evidence of strong analytical and systems-thinking skills with attention to detail.</li><li>Ability to understand and work within existing taxonomy efforts, including database structures and storage.</li><li>Strong communication skills - both verbal and written.</li><li>Experience driving a motorized vehicle on public roads in the US, in any capacity.</li></ul>Bonus Points&nbsp; <ul><li>Ability to apply systems engineering concepts of requirements, verification and validation.</li><li>Basic understanding of autonomous vehicle technology, especially sensors and perception and classification capabilities.</li><li>Familiarity with the capabilities and limitations of simulation.</li><li>Detailed understanding of driving rules/regulations and/or traffic engineering.</li><li>Ability to write code in Python and write basic data queries.</li><li>Experience with configuration management tools for requirements, documentation, and software.</li></ul>&nbsp;Note: This is a fall internship that will require in-office presence of 3-4 days a week in our Mountain View, CA location.&nbsp;For this position, the reasonably expected pay range is between $11,500 to $14,000/month. Your actual base pay will depend on several factors, including your experience, qualifications, education, location, and skills.&nbsp;&nbsp;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.&nbsp;

Systems Engineering Intern, Scenario Taxonomy

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Nuro

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