Sr. Software Quality Process & Systems Engineer

Lucid Motors•Phoenix, AZ

About The Position

Leading the Future in Luxury Electric and Mobility At Lucid, we set out to create the most captivating luxury electric vehicles—vehicles that elevate the human experience, break conventional boundaries, and shape the future of sustainable mobility. The Sr. Software Quality Operations Engineer drives end-to-end software quality operations across vehicle programs. This role ensures timely issue resolution, effective cross-functional coordination, executive visibility, and continuous improvement of software quality performance throughout the software development and release lifecycle. The successful candidate will serve as a central point of coordination for software quality activities, leading issue triage, quality governance, risk reporting, and release-readiness tracking. This role requires strong knowledge of software development and validation processes, disciplined program execution, and the ability to influence teams across Engineering, Validation, Program Management, Product Quality, Service, Manufacturing, and Functional Safety.

Requirements

Bachelor's degree in Computer Science, Software Engineering, Electrical Engineering, Systems Engineering, or a related technical field.
8+ years of experience in software quality, quality operations, program quality, software validation, issue management, technical program management, or a related technical discipline.
5+ years of experience managing cross-functional issue resolution, quality reporting, KPI management, quality governance, or program execution activities.
Strong understanding of software development, validation, release processes, defect management, and corrective-action workflows.
Experience managing issue triage, corrective actions, executive escalations, and quality governance activities.
Hands-on experience with Jira, Confluence, QUAL, dashboards, KPI reporting, and project-tracking tools.
Strong analytical skills with the ability to identify trends, risks, recurring issues, and process improvements using quality data.
Excellent written and verbal communication, presentation, and stakeholder-management skills.
Demonstrated ability to coordinate large cross-functional teams and drive execution through influence, ownership, and accountability.
Ability to read, write, speak, and understand English sufficiently to perform the essential duties of the position, including understanding work instructions, safety procedures, and job-related communications.

Nice To Haves

Master's degree in Computer Science, Software Engineering, Electrical Engineering, Systems Engineering, Business Administration, or a related field.
10+ years of experience in software quality, program quality, quality operations, technical program management, or engineering operations.
Experience supporting executive reviews, release-readiness reviews, and quality governance boards.
Experience in automotive, autonomous driving, embedded software, connected vehicle systems, or another complex product-development environment.
Knowledge of Functional Safety, Cybersecurity, Homologation, and automotive quality processes.
Experience with software quality metrics, data analytics, reporting automation, and business intelligence tools.

Responsibilities

Lead software issue triage, prioritization, and tracking across multiple vehicle domains, programs, and software releases.
Drive cross-functional coordination to support timely root-cause analysis, corrective actions, validation, and issue closure.
Own critical issue review processes and provide clear visibility into software quality risks, blockers, dependencies, and resolution status.
Monitor defect backlog health, issue aging, closure performance, and recurring quality concerns requiring escalation or systemic corrective action.
Facilitate software quality review meetings and ensure clear ownership, accountability, decisions, and follow-through for open issues.
Develop and maintain software quality dashboards, KPIs, issue-aging reports, and executive-level status reporting.
Drive reporting and governance processes that improve organizational visibility, data integrity, prioritization, and decision-making.
Present software quality status, risks, trends, and recommendations to engineering leadership and executive stakeholders.
Analyze quality data to identify recurring failure patterns, program risks, and opportunities for process improvement.
Drive consistent quality governance practices across vehicle programs and software domains.
Support software release-readiness assessments by tracking open risks, critical defects, validation status, dependencies, and closure plans.
Partner with Engineering, Validation, Program Management, Product Quality, Service, Manufacturing, Functional Safety, and Cybersecurity teams to drive issue resolution and readiness alignment.
Monitor release criteria and provide fact-based quality status to support informed release decisions.
Escalate software quality risks that may affect customer experience, vehicle performance, compliance, launch timing, or release readiness.
Identify quality process gaps and drive improvements to issue management, reporting, governance, and escalation workflows.
Promote lessons learned, repeat-issue prevention, and disciplined corrective-action follow-through.
Advance the use of data analytics and reporting automation to improve software quality insight and operational efficiency.
Foster a culture of transparency, urgency, accountability, and continuous improvement across software development organizations.