About the roleThe Verification & Validation (V&V) Deployment Engineer is responsible for supporting autonomous vehicle deployments, fleet expansion initiatives, software releases, and operational readiness activities. This role serves as the primary V&V representative in the field, ensuring vehicles, software, maps, and supporting systems are validated and ready for safe, reliable, and efficient operation.
The ideal candidate is highly organized, data-driven, and comfortable working in fast-paced deployment environments. This individual will collaborate closely with Engineering, Operations, Fleet, Safety, Mapping, and Deployment teams to support vehicle launches, fleet growth, issue resolution, and continuous improvement efforts.
This role is onsite 5 days a week at our Mountain View, CA or Fort Worth, TX office!
What you'll doDeployment Support- Support autonomous truck deployments, fleet launches, and operational expansions.
- Execute deployment readiness assessments and validation activities prior to vehicles entering service.
- Coordinate deployment schedules and testing activities with Operations, Fleet, and Engineering teams.
- Support vehicle commissioning, acceptance testing, and operational handoff activities.
- Provide both on-site and remote support during deployment and launch activities.
Verification & Validation- Develop and execute test plans for vehicle, software, and system-level validation.
- Perform route validation, map validation, regression testing, and release verification activities.
- Verify vehicle configurations, calibrations, software versions, and deployment readiness.
- Conduct post-deployment validation to ensure system performance meets operational expectations.
- Support troubleshooting and root cause analysis of field issues.
Data Analysis & Investigation- Analyze vehicle logs, operational data, and test results to assess system performance and deployment readiness.
- Investigate disengagements, anomalies, safety events, and operational issues using available diagnostic and visualization tools.
- Perform root cause analysis and partner with engineering teams to identify and validate corrective actions.
- Track and report deployment metrics, validation results, fleet health indicators, and operational trends.
- Develop reports, dashboards, and summaries to communicate findings to both technical and non-technical stakeholders.
- Support data-driven decision making for release approvals, deployment readiness reviews, and operational sign-off activities.
- Identify trends across vehicles, routes, and deployments to proactively mitigate risks and improve fleet reliability.
- Validate software fixes, configuration changes, and system improvements through data analysis and regression assessments.
Issue Management- Identify, document, prioritize, and track deployment-related issues.
- Work closely with Engineering teams to reproduce, investigate, and resolve field issues.
- Ensure testing activities, findings, risks, and recommendations are properly documented and communicated.
- Escalate critical issues that may impact deployment schedules, vehicle availability, or operational safety.
Cross-Functional Collaboration- Partner with Operations, Fleet Maintenance, Mapping, Safety, Autonomy, and Software Engineering teams.
- Support deployment reviews, readiness meetings, and launch planning activities.
- Communicate validation results, risks, recommendations, and deployment status to stakeholders.
- Assist in defining deployment processes, validation standards, best practices, and continuous improvement initiatives.
Documentation & Reporting- Generate deployment reports, validation summaries, test execution reports, and operational readiness assessments.
- Maintain test records and deployment evidence required for release and operational sign-off.
- Create and update deployment procedures, test documentation, validation plans, and operational guidelines.
- Support release readiness reviews and deployment approval processes.
What we're looking for- 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.
Preferred 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.
Salary Range - $160,000- $220,000
