Systems Engineering Intern, Scenario Taxonomy
- Help specify and decompose the hierarchical scenario space into a scenario taxonomy for L4 autonomous vehicles.
- Identify and design key features of the Scenario Taxonomy, taking into account system capabilities and stakeholder requirements.
- 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.
- Work closely with teams across Nuro including Systems V&V, Autonomy Development, Mapping, Data Infrastructure, and Operations.
- Pursuing a bachelors, masters, or doctoral degree in engineering, computer science, physics, mathematics, or related field.
- Past evidence of strong analytical and systems-thinking skills with attention to detail.
- Ability to understand and work within existing taxonomy efforts, including database structures and storage.
- Strong communication skills - both verbal and written.
- Experience driving a motorized vehicle on public roads in the US, in any capacity.
- Ability to apply systems engineering concepts of requirements, verification and validation.
- Basic understanding of autonomous vehicle technology, especially sensors and perception and classification capabilities.
- Familiarity with the capabilities and limitations of simulation.
- Detailed understanding of driving rules/regulations and/or traffic engineering.
- Ability to write code in Python and write basic data queries.
- Experience with configuration management tools for requirements, documentation, and software.
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