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  <jobs>
    <job>
      <externalid>93c2aa0f-323</externalid>
      <Title>Engineering Specialist-Quality</Title>
      <Description><![CDATA[<p>As part of our Manufacturing team, you&#39;ll help build the world-class, state-of-the-art smart vehicles we&#39;re known for. In our plants around the world, we’re constantly developing new technologies and processes to further increase our efficiency. You&#39;ll get the satisfaction of making great products people use and love.</p>
<p>In this position, you will assist reviewing and binning early claims, support the Variability Reduction Team with statistical process control and data analysis, participate in conducting periodic job observations, and provide external and internal data checks for quality reviews.</p>
<p>You will also maintain health chart schedules and assessments, review quality leadership system charts for data accuracy and work group binning, perform subsystem checks as required, and learn control plans and verify data entry as required into web-based data management.</p>
<p>Additionally, you will assemble acceptance criteria visual aids for the VRT, maintain cycle line layout indicators with the assistance of the VRT, update and maintain the Quality Confirmation Map, and apply quality principles and analytical techniques to establish and continuously improve manufacturing processes and products.</p>
<p>You will lead roles in resolving assembly-related concerns, lead variability reduction and lean manufacturing initiatives and best practices, and implement interim and permanent corrective actions to resolve quality issues using 8D tools, 6-panel, etc.</p>
<p>Qualifications:</p>
<ul>
<li>High School Diploma or GED</li>
<li>Min 5 years Manufacturing Experience</li>
<li>Min 5 years Quality experience</li>
<li>Previous union experience</li>
<li>Previous data experience</li>
<li>Microsoft Office (Excel, PowerPoint, Word)</li>
<li>Excellent written and verbal skills</li>
</ul>
<p>Even better, you may have:</p>
<ul>
<li>Associate degree</li>
<li>Black Belt trained or certified</li>
<li>Knowledge of QARS, GSAR, ECB</li>
<li>QLS Usage and Data Analysis</li>
<li>WBDM Data Analysis and Interpretation</li>
<li>AVIS Cell Data Analysis and Interpretation – Experience</li>
<li>VOW Cell Data Analysis and Interpretation</li>
<li>Error Proofing Data Analysis and Interpretation</li>
<li>ONTRAC</li>
<li>Quality Leadership System (QLS)</li>
<li>Health Chart CTQ in E2KS</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>mid</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange>A range of salary grades 6, 7 and 8</Salaryrange>
      <Skills>Microsoft Office, Quality principles, Analytical techniques, Statistical process control, Data analysis, Quality leadership system, Health chart, Cycle line layout indicators, Quality confirmation map, 8D tools, 6-panel, Black Belt trained or certified, Knowledge of QARS, GSAR, ECB, QLS Usage and Data Analysis, WBDM Data Analysis and Interpretation, AVIS Cell Data Analysis and Interpretation – Experience, VOW Cell Data Analysis and Interpretation, Error Proofing Data Analysis and Interpretation, ONTRAC</Skills>
      <Category>Engineering</Category>
      <Industry>Automotive</Industry>
      <Employername>Ford Motor Company</Employername>
      <Employerlogo>https://logos.yubhub.co/ford.com.png</Employerlogo>
      <Employerdescription>Ford Motor Company is a multinational automaker headquartered in Dearborn, Michigan. It is one of the largest automobile manufacturers in the world.</Employerdescription>
      <Employerwebsite>https://www.ford.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/62417</Applyto>
      <Location>Kansas City</Location>
      <Country></Country>
      <Postedate>2026-04-24</Postedate>
    </job>
    <job>
      <externalid>1df707ea-217</externalid>
      <Title>Staff Engineer, Quality</Title>
      <Description><![CDATA[<p>At Shield AI, we&#39;re building advanced autonomous aircraft that redefine what&#39;s possible. We&#39;re seeking a Staff Quality Engineer to lead quality initiatives across the product lifecycle, ensuring our products meet the highest standards of performance, reliability, and safety.</p>
<p>In this role, you&#39;ll develop and maintain robust quality systems aligned with AS9100 standards, lead root cause investigations, and implement effective corrective and preventive actions. You&#39;ll partner closely with engineering, manufacturing, and supplier teams to identify risks, improve process capability, and ensure consistent product quality.</p>
<p>As a Staff Quality Engineer, you&#39;ll play a key role in shaping quality strategy, mentoring team members, and influencing cross-functional decisions without direct authority. This is an opportunity to work hands-on with next-generation aerospace technology and contribute directly to the delivery of highly reliable autonomous systems that will define the future of aviation.</p>
<p>Responsibilities:</p>
<ul>
<li>Develop and maintain robust quality systems in alignment with AS9100 standards</li>
<li>Lead root cause investigations and implement effective corrective and preventive actions</li>
<li>Partner closely with engineering, manufacturing, and supplier teams to identify risks, improve process capability, and ensure consistent product quality</li>
<li>Support new product introduction (NPI) efforts, establish control plans and inspection strategies, and use data-driven methods to monitor and improve manufacturing performance</li>
</ul>
<p>Required qualifications:</p>
<ul>
<li>Bachelor&#39;s degree in Engineering or a related technical field (or equivalent practical experience)</li>
<li>5+ years of experience in Quality, Manufacturing, or Process Engineering roles</li>
<li>Demonstrated experience leading root cause analysis and implementing effective corrective and preventive actions (RCA/CAPA)</li>
<li>Strong knowledge of quality systems and standards (AS9100 or similar)</li>
<li>Experience supporting new product introduction (NPI) and scaling production in a manufacturing environment</li>
<li>Proficiency in statistical analysis and process control methods (SPC, capability analysis, etc.)</li>
</ul>
<p>Preferred qualifications:</p>
<ul>
<li>Experience in aerospace, defense, or other high-reliability industries</li>
<li>ASQ Certified Quality Engineer (CQE), Lean Six Sigma certification, or equivalent</li>
<li>Knowledge of design for quality principles, including DFMEA, tolerance analysis, and design reviews</li>
<li>Experience working with quality and manufacturing systems (QMS, MES, PLM) and data analysis tools</li>
<li>Familiarity with advanced inspection or test methods (metrology, NDT, automated inspection, etc.)</li>
</ul>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>staff</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange>$120,000 - $180,000 a year</Salaryrange>
      <Skills>Quality systems and standards (AS9100 or similar), Root cause analysis and corrective and preventive actions (RCA/CAPA), Statistical analysis and process control methods (SPC, capability analysis, etc.), New product introduction (NPI) and scaling production in a manufacturing environment, Data-driven methods to monitor and improve manufacturing performance, Experience in aerospace, defense, or other high-reliability industries, ASQ Certified Quality Engineer (CQE), Lean Six Sigma certification, or equivalent, Knowledge of design for quality principles, including DFMEA, tolerance analysis, and design reviews, Experience working with quality and manufacturing systems (QMS, MES, PLM) and data analysis tools, Familiarity with advanced inspection or test methods (metrology, NDT, automated inspection, etc.)</Skills>
      <Category>Engineering</Category>
      <Industry>Aerospace</Industry>
      <Employername>Shield AI</Employername>
      <Employerlogo>https://logos.yubhub.co/shield.ai.png</Employerlogo>
      <Employerdescription>Shield AI is a venture-backed deep-tech company founded in 2015, creating intelligent systems to protect service members and civilians. It has offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific.</Employerdescription>
      <Employerwebsite>https://www.shield.ai</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.lever.co/shieldai/664414ae-6aa0-4dc1-8e24-e89e7466428b</Applyto>
      <Location>Dallas</Location>
      <Country></Country>
      <Postedate>2026-04-17</Postedate>
    </job>
  </jobs>
</source>