At least a Bachelors degree in engineering, computer science, or related.
Experience with supervised+unsupervised learning methods.
Experience with automotive software, ideally for ADAS.
Experience deploying AI/ML solutions in automotive.
Experience incorporating models as part of complex build pipelines, and deploying models to hardware.
Time signal processing experience as well as computer vision experience.
5+ years of professional software development experience.
Experience writing scalable, reusable code in Python or similar.
Experience writing Github Actions or similar (Jenkins, etc).
Generalist attitude and willingness to learn continuously.
Experience with writing unit tests, doing cross-validation, and robustness testing/evaluation of models.
Ability to operate effectively and autonomously across multiple teams, and navigate technical ambiguity with only high-level direction.