Rivian is looking to analyze real-world driving data to evaluate and improve the quality and performance of its Automated Driving and Active Safety features, ultimately enhancing customer safety and experience.
Requirements
- Excellent data analysis and programming skills (Python, SQL).
- Ability to understand and navigate software code (C/C++) is preferred.
- Experience with time-series analysis and working with large-scale datasets
- Experienced with root cause analysis and working with cross-functional teams in a Product/Feature development environment
- Understanding/knowledge of active safety as well as L1/L2+ autonomous vehicle systems/features
Responsibilities
- Design, develop and deploy KPIs and metrics to evaluate the quality and performance of Automated Driving and Active Safety features built on Rivian’s Autonomy Stack.
- Develop measurements based on the operational design domain, functional, performance, and safety requirements of features.
- Devise scalable methodologies for measuring and analyzing large datasets in simulation that can predict on-road feature performance.
- Develop signatures that identify and trigger events of interest leveraging Rivian’s autonomy logging pipeline.
- Collaborate within Autonomy development teams such as pose, perception, planning, motion control for end-to-end metric design and development.
- Work closely with the Simulation Infrastructure team for development, integration, and testing of metrics.
- Collaborate with the Data Analytics and Cloud teams to visualize metrics and insights in dashboards.
Other
- Bachelor's or Master's degree in Aerospace, Electrical, Mechatronics, Computer Science, Robotics or a related field.
- 4+ years (Bachelor’s)/2+ years (Master’s) professional experience in systems engineering or software development, building autonomous systems or similarly complex robotics systems.
- Strong problem solving skills in a highly cross functional and fast paced environment.
