About Us:
Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.
As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.
Role Summary:
In this role, you will help analyze real world driving data to evaluate Rivian’s Automated Driving
and Active Safety features. At Rivian, your contributions will directly enhance the daily
experience and safety of our customers - by continuously measuring the quality and
performance of features, driving crucial improvements aligned with Rivian’s mission.

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

Qualifications:

• 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
• 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
• Strong problem solving skills in a highly cross functional and fast paced environment
• Understanding / knowledge of active safety as well as L1/L2+ autonomous vehicle systems / features

Pay Disclosure:
Salary Range/Hourly Rate for California Based Applicants: $105,100-$131,400 (actual compensation will be determined based on experience, location, and other factors permitted by law).
Benefits Summary: Rivian provides robust medical/Rx, dental and vision insurance packages for full-time and part-time employees, their spouse or domestic partner, and children up to age 26. Full Time Employee coverage is effective on the first day of employment. Part-Time employee coverage is effective the first of the month following 90 days of employment.
Company Statements:

• 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 dashboard