Software Engineer, Zoox

• 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
• Proficiency with LLMs and agentic AI for process automation
• You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills

Desirable

• Zoox is building advanced self-driving hardware and software solutions. To attain the utmost efficiency that the system demands, we need you - an expert who understands how to deal with telemetry data from a growing fleet of vehicles. You will be instrumental in finding & detecting performance-related trends and anomalies across the robot fleet
• The Software Performance team’s mission is to analyze, optimize and provide guidance to the software and hardware teams in order to meet expected system performance and software stability targets
• As an automation engineer within the Software Performance team, you will create automated monitoring and analysis for performance tooling into the software release process to identify fleet-wide trends or anomalies and put detailed performance data at the fingertips of performance experts for quick and efficient investigations
• 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