Senior SW Quality Technical Validation & Data Systems
Casa Grande, AZ
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingInvestigate software issues using logs, telemetry, PCAP, CAN and diagnostic data
Perform targeted product validation, regression testing and fix verification
Analyze vehicle and fleet data to spot emerging quality risks and recurring defects
Build and maintain signal-monitoring dashboards and quality metrics in Grafana
Support software launch, factory deployments, ECU flashing and OTA release readiness
From the employer’s posting
Investigate software issues using logs, cloud telemetry, PCAP, CAN, diagnostics, DTCs, and vehicle signal data
Perform targeted product validation, regression testing, release validation, and fix verification
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
Support Software Safe Launch activities, factory software deployments, ECU flashing validation, OTA release readiness
What you’ll bring
All qualificationsCore experience
- Ability to communicate complex technical findings through concise, data-driven summaries, dashboards, signal timelines, and actionable recommendations.
- 7+ years of experience in automotive software validation, embedded software testing, diagnostics, software quality engineering, system integration, vehicle launch support, or related technical disciplines.
- Strong ownership mindset with a focus on software quality, launch readiness, validation efficiency, investigation rigor, and cross-functional execution.
- Hands-on experience with software validation, regression testing, release acceptance testing, and customer-facing vehicle software features.
- Experience collecting and analyzing vehicle logs, PCAP, CAN data, diagnostics, DTCs, cloud telemetry, and large-scale signal datasets.
- Strong understanding of vehicle networks, ECU communication, CAN, Ethernet, diagnostics, software deployment, and software validation processes.
Preferred experience
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Software Engineering, Automotive Engineering, or a related technical discipline preferred.
Qualification wording
Ability to communicate complex technical findings through concise, data-driven summaries, dashboards, signal timelines, and actionable recommendations.
7+ years of experience in automotive software validation, embedded software testing, diagnostics, software quality engineering, system integration, vehicle launch support, or related technical disciplines.
Strong ownership mindset with a focus on software quality, launch readiness, validation efficiency, investigation rigor, and cross-functional execution.
Hands-on experience with software validation, regression testing, release acceptance testing, and customer-facing vehicle software features.
Experience collecting and analyzing vehicle logs, PCAP, CAN data, diagnostics, DTCs, cloud telemetry, and large-scale signal datasets.
Strong understanding of vehicle networks, ECU communication, CAN, Ethernet, diagnostics, software deployment, and software validation processes.
Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Software Engineering, Automotive Engineering, or a related technical discipline preferred.
Education & alternatives
Education - Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Software Engineering, Automotive Engineering, or a related technical discipline preferred. - Equivalent hands-on experience in automotive software validation, diagnostics, embedded systems, software quality, technical investigations, supplier quality, or manufacturing quality support will also be considered.
Tools in this posting
- Python
- SQL
- Grafana
Source — Tool mentions in context
- Familiarity with automotive software quality processes, defect management, launch-quality activities, and milestone-based development programs. - Proficiency with Python, SQL, CAN DBC databases, Grafana, InfluxDB, Prometheus, or similar data analysis and monitoring tools. Education
- 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.
About Lucid Motors
We build world-class vehicles by pushing performance, efficiency, and design beyond industry limits, setting new standards with vehicles like Lucid Air and Lucid Gravity.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Jul 8, 2026 · 102d ago
- Recorded sightings
- 101
- Last seen by us
- Oct 17, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Job description
About Lucid
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. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. In Lucid Air and Lucid Gravity, we have designed and built vehicles that have redefined their segments, combining exceptional range, performance, design, and expansive space in a single experience.
We achieve this through deep vertical integration, with design, engineering, and production happening in-house across our global offices and manufacturing facilities. Our teams come from industries around the world, united by a shared commitment to excellence. By refusing to settle, you can help redefine what’s possible and shape the future of mobility.
Sr. SW Quality Technical Validation & Data Systems Engineer
Engineering | Casa Grande, AZ| Full-Time
About Lucid
At Lucid, we are creating an electric future without compromise. That means refusing to choose between performance and sustainability, design and engineering, ambition and integrity. We build world-class vehicles by pushing performance, efficiency, and design beyond industry limits, setting new standards with vehicles like Lucid Air and Lucid Gravity.
The people here, engineers, designers, operators, and builders, came from across industries and around the world because they wanted to work on a harder problem. They care deeply about mastering their craft and delivering work they are proud of.
The Role
We are seeking a Sr. SW Quality Technical Validation & Data Systems Engineer focused on software issue evaluation, hands-on log and data analysis, signal monitoring, bench-based validation, and targeted product validation support. This role collects and analyzes logs, cloud data, PCAP traces, CAN data, diagnostics, vehicle signals, and validation results to identify issue patterns, support root cause analysis, and provide actionable findings to Software Development and Validation teams.
-
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.
- 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.
- Drive improvements in logging, telemetry, diagnostics, monitoring capability, issue detection, and software quality processes.
What Success Looks Like (First 12 Months)
- Increased issue reproduction rate and reduced time-to-root-cause for critical software issues.
- Signal-monitoring capability proactively identifies recurring software defects before significant field impact.
- Successful support of Software Safe Launch activities with rapid identification and containment of software-related production issues.
- Improved software deployment quality through validation of ECU flashing and OTA release processes.
- Improved supplier software quality through timely issue resolution, validated corrective actions, and reduced recurring defects.
- Reduced escaped defects and improved software stability across production releases.
Qualifications
Collaboration & Execution
- Strong collaboration skills across Software Development, Validation, Manufacturing Engineering, Diagnostics, Cloud, Automation, Service Engineering, Supplier Engineering, and Quality organizations.
- Ability to communicate complex technical findings through concise, data-driven summaries, dashboards, signal timelines, and actionable recommendations.
- Strong ownership mindset with a focus on software quality, launch readiness, validation efficiency, investigation rigor, and cross-functional execution.
Technical Qualifications
- 7+ years of experience in automotive software validation, embedded software testing, diagnostics, software quality engineering, system integration, vehicle launch support, or related technical disciplines.
- Hands-on experience with software validation, regression testing, release acceptance testing, and customer-facing vehicle software features.
- Experience collecting and analyzing vehicle logs, PCAP, CAN data, diagnostics, DTCs, cloud telemetry, and large-scale signal datasets.
- Strong understanding of vehicle networks, ECU communication, CAN, Ethernet, diagnostics, software deployment, and software validation processes.
- Experience supporting ECU software flashing, OTA updates, release readiness reviews, production software quality activities, or launch support.
- Experience working with software suppliers to manage defect investigations, review root-cause analyses, validate corrective actions, and support software release readiness.
- Strong debugging and root-cause analysis skills with the ability to connect customer symptoms, vehicle behavior, signal evidence, and software implementation details.
- Familiarity with automotive software quality processes, defect management, launch-quality activities, and milestone-based development programs.
- Proficiency with Python, SQL, CAN DBC databases, Grafana, InfluxDB, Prometheus, or similar data analysis and monitoring tools.
Education
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Software Engineering, Automotive Engineering, or a related technical discipline preferred.
- Equivalent hands-on experience in automotive software validation, diagnostics, embedded systems, software quality, technical investigations, supplier quality, or manufacturing quality support will also be considered.
Compensation & Benefits: Lucid offers a comprehensive and competitive benefits package including medical, dental, and vision insurance; life and disability coverage; paid time off; paid holidays, paid sick leave; and a 401(k) retirement plan. Hourly/non-exempt employees accrue up to 120 hours paid time off, and salaried/exempt employee accrue up to 160 hours paid time off. Eligible employees may also participate in Lucid’s equity program and/or a discretionary annual cash incentive program. Incentive and equity awards, if applicable, are determined based on individual performance, role scope, market considerations, and overall company results, in accordance with the terms of the applicable plans.
Equal Opportunity: At Lucid, we believe diversity strengthens everything we build. Lucid Motors is proud to be an equal opportunity employer and is committed to providing an inclusive workplace for all. We consider all qualified applicants without regard to race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity or expression, marital status, or any other characteristic protected by applicable state or federal laws and regulations.
Accessibility: Lucid Motors is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need any accommodation to participate in the application process, please contact us at TA-Operations <@> lucidmotors.com. This email address is designated solely for accommodation requests and is not monitored for job applications or resume submissions. To be considered for employment, all applications must be submitted through the Lucid Motors Careers website.
Candidate Data Privacy: By submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice.
To all recruitment agencies: Lucid Motors does not accept agency resumes. Please do not forward resumes to Lucid Motors. Lucid Motors is not responsible for any fees related to unsolicited resumes.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on lucidmotors.com. The employer’s form will show what is required.
Already applied? Track this application
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Casa Grande, AZ
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.