Verification & Validation (V&V) Deployment Engineer
$160,000–$220,000 year
On-siteSanta Clara, California, United States
Job Summary
Support autonomous truck deployments, fleet launches, and operational expansions by executing deployment readiness assessments and coordinating schedules with Operations, Fleet, and Engineering teams. Develop and execute test plans for vehicle, software, and system-level validation, including route, map, and regression testing to ensure configurations and calibrations meet operational expectations. Analyze vehicle logs and operational data to investigate disengagements, perform root cause analysis, and validate corrective actions while tracking metrics and reporting trends to stakeholders. Identify and document deployment-related issues, collaborate with cross-functional teams to resolve field problems, and ensure all testing activities and findings are properly recorded for release approvals and operational sign-off.
Required Qualifications
- Bachelor's degree in Engineering, Computer Science, Robotics, Automotive Engineering, or a related technical discipline.
- Experience in Verification & Validation, vehicle testing, autonomous vehicles, robotics, ADAS, automotive systems, or related fields.
- Strong understanding of system-level testing and validation methodologies.
- Experience executing field tests and analyzing test results.
- Strong analytical, troubleshooting, and problem-solving skills.
- Excellent written and verbal communication skills.
- Ability to work independently while managing multiple priorities in a dynamic environment.
- Onsite 5 days a week at our Santa Clara, CA or Fort Worth, TX office
Desired Qualifications
- Experience supporting autonomous vehicle deployments and fleet operations.
- Experience with route validation, map validation, release testing, and operational readiness assessments.
- Familiarity with vehicle sensors, autonomy systems, perception systems, and fleet operations.
- Experience with log analysis, data analytics, and visualization tools.
- Experience working in cross-functional deployment and operational environments.
- Experience with Python, SQL, Grafana, Foxglove, Jupyter Notebooks, or similar data analysis tools.
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