- Robot type
- Autonomous Vehicle
- Location
- Santa ClaraCaliforniaUSA
- Job type
- Customer Success
- Posted
- Sep 4, 2026
- Salary
- $160,000–$260,000 a year
Senior V&V Engineer – Public Road & Fleet Testing
Job description
We have delivered complete, proprietary AV technology - an integration of software and hardware - to enable earlier successes for our clients in constrained Level 4 autonomy. By choosing the middle mile – with defined point-to-point delivery, we have simplified some of the more complex AV challenges, enabling us to achieve full autonomy ahead of competitors. Given extensive knowledge of Gatik’s well-defined, fixed route ODDs and hybrid architecture, we are able to hyper-optimize our models with exponentially less data, establish gate-keeping mechanisms to maintain explainability, and ensure continued safety of the system for unmanned operations.
Visit us at Gatik for more company…
Job responsibilities
- Public Road Validation Strategy: Define and execute on-road structured testing and shadow fleet evaluation programs for new software builds across commercial customer corridors.
- Route & Map Validation: Validate map updates, route configurations across customer ODDs prior to driverless sign-off.
- Disengagement & Anomaly Investigation: Perform deep-dive root-cause analysis on events, dynamic anomalies, near-misses, and unexpected vehicle behaviors using log visualization tools (Foxglove, Grafana, SQL, Python).
- SPI & KPI Verification: Track Safety Performance Indicators (SPIs) and performance metrics to quantify system readiness for fully driverless operation.
- Field Deployment Support: Serve as the primary V&V technical owner for vehicle commissioning, operational readiness, and customer route expansion.
- Feedback Loop to Engineering: Translate on-road findings into structured bug reports, regression scenarios for SIL/HIL, and action items for autonomy algorithm teams.
Job requirements
- Education: B.S. or M.S. in Systems Engineering, Computer Science, Automotive Engineering, or Data Analytics.
- Experience: 5+ years in field validation, fleet testing, or systems engineering for autonomous vehicles or large-scale robotic fleets.
- Data Analysis Mastery:
- Advanced proficiency in Python, SQL, and data visualization/log analysis platforms (Jupyter, Grafana, Foxglove, MCAP).
- Demonstrated experience analyzing sensor logs (LiDAR, Radar, Camera, CAN) to triage autonomy failures.
- Domain Expertise: Deep understanding of Operational Design Domains (ODDs), route mapping validation, and fleet-wide safety monitoring.
- Experience deploying L4 driverless commercial operations in freight, trucking, or ride-hailing.
- Expertise in statistical fleet reliability modeling.
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