Zoox
Software Engineer - Collision Avoidance System Metrics
About this role
Join a Foster City-based team to develop and optimize metrics and monitoring systems for collision avoidance technology. You'll design measurement frameworks, implement data pipelines, and analyze performance across safety-critical automotive systems.
What you'll do
- Design and implement metrics collection systems for collision avoidance algorithms
- Build data pipelines to process and analyze safety-critical sensor and performance data
- Develop monitoring dashboards and alerting systems for system health and anomalies
- Collaborate with safety and validation teams to define relevant KPIs and thresholds
- Optimize data storage and query performance for large-scale telemetry analysis
- Document metrics frameworks and provide tooling support to cross-functional teams
What they're looking for
- Data pipeline design and ETL development
- Metrics and observability tools (Prometheus, Grafana, or similar)
- SQL and time-series databases
- Python or C++
- Automotive safety standards (ISO 26262, functional safety concepts)
- Data visualization and analytics
- Real-time systems and event processing
- Version control and CI/CD practices
Opens the application — the Jobs AI extension fills it for you. Set up autofill
Opens the official application on the employer’s site. No login required.
Zoox
Zoox develops autonomous vehicle technology and robotaxi systems, supported by manufacturing operations and AI validation infrastructure. The company is hiring for part-time student roles in hardware-software integration, manufacturing software engineering, AI testing and evaluation, and QA automation, as well as experienced engineers for simulation and AI performance assessment.
- Website
- zoox.com
Likely interview questions
- Describe your experience designing metrics systems for performance-critical or safety-sensitive applications.
- How would you approach defining meaningful KPIs for a collision avoidance system?