JOB DESCRIPTION: SENIOR OTA ON BOARD QUALITY ENGINEER
We are seeking an experienced OTA Triage and Quality Engineer to support post-launch products. The role involves engaging with cross-functional global teams to resolve OTA quality issues arising from warranty claims, customer feedback, or post-launch assessments. The ideal candidate will foster a collaborative team environment while delivering high value to our customers.
- Lead initial triage for all post-launch OTA quality issues using various tools and identify root causes for development teams.
- Utilize CAN, cloud logs, and in-vehicle logs to diagnose issues.
- Capture logs from management lease vehicles or early access program members to assist in root cause analysis.
- Set up bench or vehicle environments to replicate issues and collect additional logs as needed.
- Analyze OTA quality KPI metrics for designated power-ups.
- Drive OTA JIRA quality issues to resolution using engineering and quality practices such as 5Ds, Fishbones, IS/ISNOT, 8D, R/1000 projections, and warranty analysis tools.
- Create weekly JIRA reports for OTA issues and present quality insights to executive management.
- Leverage connected vehicle backend data to project FOTA or MMOTA issues, warranty impacts, and overall quality metrics.
- Assist in Go-No-Go production and pilot OTA launch decisions, maintaining tracking sheets for feature content versus deployment schedules.
- Present quality perspectives on critical OTA issues using analytical data and benchmarks to senior management.
- Maintain and track KPIs to achieve best-in-class metrics.
- Proactively address customer-facing issues using operational analytics dashboards and communication channels.
- Maintain clear communication with supervisors and peers, balancing daily and weekly demands.
The minimum requirements include:
- Bachelor’s degree in engineering, data science, or related field.
- At least 3 years of experience handling connected vehicle quality concerns.
- 3+ years of experience with CAN and cloud tools.
- 2+ years understanding failure mode avoidance methods like QH, Interface Analysis, DFMEA, etc.
- 1+ year experience querying large datasets for investigations.
- Experience with connected vehicle cloud systems, smartphone apps, wireless devices, Bluetooth, and Wi-Fi connectivity.
Location: Seniority level
Seniority level: Associate
Employment type: Contract
Job function: Information Technology, Automation Machinery Manufacturing
Note: This job posting is active and not expired.