Sr. SW Quality Technical Validation & Data SystemsActive

Lucid Motors
Apply now

The opportunity

At Lucid, we are creating exceptional mobility experiences through innovation to drive the world forward. Built on Lucid’s proprietary technology and software-defined vehicle architecture, our award-winning vehicles bring our “Compromise Nothing™” approach to the global automotive market.

What you'll do

  • Sr. Software Quality Investigation & Validation Engineer Mission: Improve software quality through data-driven issue investigation, technical validation, supplier software quality management, software launch readiness, factory software quality support, and cross-functional engineering collaboration. The Role Investigate software issues using logs, cloud telemetry, PCAP, CAN, diagnostics, DTCs, and vehicle signal data to identify failure patterns, timing relationships, and root-cause candidates.

  • Perform targeted product validation, regression testing, release validation,: and fix verification to confirm software quality and customer-facing behavior.

  • Analyze vehicle, fleet, and development data to identify emerging software: quality risks, recurring defects, and validation gaps.

  • Develop and maintain signal-monitoring dashboards, quality metrics, and: visualization tools using Grafana and related analytics platforms.

  • Collaborate with Software Development, Validation, Diagnostics, Cloud,: Automation, and Quality teams to accelerate issue resolution and improve software quality.

  • Support Software Safe Launch activities, factory software deployments, ECU: flashing validation, OTA release readiness, and production software quality.

What they're looking for

  • Investigate and triage software issues identified through manufacturing: operations, factory diagnostics, launch-quality activities, service feedback, and early field observations.
  • Support supplier software quality management activities including issue: tracking, root-cause review, corrective-action validation, software readiness assessments, and release quality improvement.
  • Partner with internal engineering teams and software suppliers to investigate: field and factory issues, validate corrective actions, and drive software quality improvements.
  • Provide technical evidence, validation findings, quality status, and: investigation summaries to support software quality gate reviews, milestone assessments, and release decisions.