Software Engineer - Data Performance & Stability

• Automate common workflows & processes for performance data storage and analysis.
• Contribute to new data products to enable Engineering and Operations teams to gain access to insights from our varied and complex autonomous vehicle fleet dataset.
• Make data more accessible to the rest of the software organization to get insights into stability and performance issues via standardized queries, dashboards, and automated alerts.
• Create custom data queries on a large pool of dense performance metrics and build automation flows to extract relevant log segments for efficient triage & investigation.
• Work cross-functionally to create automatic detection of anomalies in performance or stability metrics across the fleet and devise automatic triage pipelines to steer them to the best owners.

This role contributes to building advanced self-driving hardware and software solutions that aim to provide the next generation of mobility-as-a-service in urban environments, potentially improving transportation efficiency and safety.

• 3+ years of professional experience in software development or related fields and BS in computer science or related field
• Proficient with building data pipelines that ingest very large amounts of data from vehicles and structure it in ways that is quick and easy to execute queries on
• Strong knowledge of Python & SQL and continuous integration systems (Github/Gitlab CI, Jenkins, etc)
• Savvy with efficient queries on data platforms such as DataBricks, Looker, and with ETL pipelines
• Solid statistical inference skills, with the ability to communicate uncertainty appropriately to engineering and business stakeholders

No specific benefits, compensation, or salary information mentioned in the job posting.

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market, aiming to provide the next generation of mobility-as-a-service in urban environments.