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  <jobs>
    <job>
      <externalid>4670c5d1-302</externalid>
      <Title>Sr. Systems Development Engineer</Title>
      <Description><![CDATA[<p>We made history and now we work to transform the future – for our customers, our communities and our families. You&#39;ll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.</p>
<p>In this position, you will interact with feature owners and software development teams to scope and define robust systems interface and software requirements, with a strong emphasis on proactive Design Failure Mode Effects and Analysis (DFMEA). This includes the process of deriving functional level requirements from feature level requirements, and utilizing a model-based systems engineering approach in conjunction with Behavior Driven Development methodology to define individual functions, use cases, sequence diagrams, and test cases, ensuring design for reliability and early identification and mitigation of potential failure modes across the In-Vehicle Infotainment and Connectivity sub-system and software levels.</p>
<p>Responsibilities:</p>
<ul>
<li>Executing functional partitioning of features, focusing on identifying and isolating potential failure points and ensuring fault tolerance.</li>
<li>Developing robust and fault-tolerant interfaces between allocable classes, considering potential failure propagation and implementing safeguards.</li>
<li>Specifying comprehensive system-level and ECU software requirements, explicitly defining expected behavior, error handling, and failure recovery mechanisms based on DFMEA principles.</li>
<li>Adopting model-based systems engineering (MBSE) methodologies for specification development, leveraging modeling and simulation for early failure mode identification and mitigation.</li>
<li>Using Requirement Management tools for requirement authoring, change management, and specification generation, ensuring traceability to DFMEA activities and reliability targets.</li>
<li>Using Behavior Driven Development (BDD) with Gherkin syntax to develop scenarios and associated test cases, incorporating negative test cases and failure scenarios derived from DFMEA analyses.</li>
<li>Leading and performing comprehensive Design Failure Mode Effects and Analysis (DFMEA) activities throughout the product lifecycle to ensure the thoroughness, robustness, and reliability of software and system designs, proactively identifying and addressing potential failure modes.</li>
<li>Managing cross-functional working level meetings with Feature/Function Owners, module owners, HMI teams, and the IVI Platform team to develop functional integration strategies that incorporate reliability and failure avoidance considerations.</li>
<li>Performing rigorous system compatibility analysis and impact assessment for IVI feature deployment, specifically evaluating and mitigating potential failure modes introduced by new architectures, programs, or market variations.</li>
<li>Proactively identifying, analyzing, and resolving complex technical issues at the system and interface level impacting the In-Vehicle Infotainment system, applying systematic root cause analysis and implementing design changes to prevent recurrence and enhance reliability.</li>
</ul>
<p>Qualifications:</p>
<ul>
<li>Minimum of a Bachelor of Science Degree in Computer/Software/Electrical Engineering or equivalent.</li>
<li>5+ years of experience with electrical architecture, electrical systems, and automotive network topologies, with a strong background in Systems Engineering and reliability principles.</li>
<li>5+ years of experience in robust requirement development, verification, and validation, with a focus on designing for reliability and testability, and experience in component/vehicle level testing for failure modes.</li>
<li>Proven experience in systematically analyzing and resolving complex systems issues, employing root cause analysis, corrective action methodologies, and implementing design solutions for failure avoidance.</li>
<li>In-depth knowledge of CAN, LIN, and Ethernet-based In-Vehicle Network protocols and processes, including understanding of potential failure modes and diagnostic strategies.</li>
<li>Knowledge of Service Oriented Architecture (SOA) based API design, with an understanding of fault tolerance and error handling in distributed systems.</li>
<li>Knowledge of Human Factors and Human-Machine Interfaces (HMI), including considerations for usability, error prevention, and graceful degradation in failure scenarios.</li>
<li>Strong knowledge of Requirements Engineering (INCOSE, EARS, BDD/Gherkin), with an ability to translate reliability and safety requirements into actionable specifications.</li>
<li>Demonstrated in-depth knowledge and practical application of Design Failure Mode Avoidance (DFMA), Failure Modes and Effects Analysis (FMEA), Fault Tree Analysis (FTA), and other reliability engineering techniques.</li>
<li>Knowledge of Unified Modeling Language (UML) or System Modeling Language (SysML) for modeling system behavior, structure, and potential failure modes.</li>
<li>Knowledge of Computer Programming Competencies (C++, Python, Java) for developing robust and fault-tolerant software.</li>
<li>Familiarity with Automotive Infotainment Systems or other Automotive Domains, including a deep understanding of interfaces, communication protocols, features/functions, architecture, and common failure mechanisms.</li>
</ul>
<p>Preferred qualifications include knowledge of Network tools (VehicleSpy, CANalyzer, CANoe, ValueCAN, Ethernet tools), requirement authoring tools (VSEM System Engineering, DOORS, JAMA, Polarion, etc), UML/SysML tools (IBM Rational Rhapsody, MagicDraw), Software Version Control Systems and cloud storage (Git, GitHub), VSCode, Technical Writing, Agile Methodologies (Scrum, Kanban), and MS Office Suite.</p>
<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>senior</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$84,480-141,360</Salaryrange>
      <Skills>electrical architecture, electrical systems, automotive network topologies, Systems Engineering, reliability principles, robust requirement development, verification, validation, designing for reliability, testability, component/vehicle level testing, CAN, LIN, Ethernet-based In-Vehicle Network protocols, Service Oriented Architecture, API design, fault tolerance, error handling, distributed systems, Human Factors, Human-Machine Interfaces, usability, error prevention, graceful degradation, Requirements Engineering, Design Failure Mode Avoidance, Failure Modes and Effects Analysis, Fault Tree Analysis, Unified Modeling Language, System Modeling Language, Computer Programming Competencies, C++, Python, Java, Automotive Infotainment Systems, interfaces, communication protocols, features/functions, architecture, common failure mechanisms, Network tools, requirement authoring tools, UML/SysML tools, Software Version Control Systems, cloud storage, VSCode, Technical Writing, Agile Methodologies, MS Office Suite</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/62500</Applyto>
      <Location>Dearborn</Location>
      <Country></Country>
      <Postedate>2026-04-24</Postedate>
    </job>
    <job>
      <externalid>e2e639eb-61a</externalid>
      <Title>Staff Engineer, Software Systems</Title>
      <Description><![CDATA[<p>As a member of the Hivemind Solutions Systems Engineering Team, you will contribute to defining, coordinating and communicating the design of integrated solutions inclusive of the Hivemind autonomy software.</p>
<p>In this role, you will collaborate closely with programmatic leadership to determine the appropriate System Engineering level of effort, System Design Teams to decompose solution designs to actionable levels of detail, and System Development &amp; Test to define system architectures.</p>
<p>Key responsibilities include:</p>
<ul>
<li>Defining end-to-end system requirements, from solution level to specific implementations of software</li>
<li>Supporting the design &amp; development process for the software system architecture</li>
<li>Using MBSE tools to document, maintain &amp; extend existing architecture in support of new integrations &amp; capabilities</li>
<li>Developing and maintaining models using Unified Modeling Language (UML), Systems Modeling Language (SysML), and/or Unified Profile for DoDAF/MODAF (UPDM)</li>
<li>Collaborating with SMEs for improved tooling and connection to code for automated system models</li>
<li>Leading cross-functional teams on projects</li>
<li>Collaborating to define implementations of the systems engineering processes</li>
<li>Engaging cross functionally with product management, program management, mechanical engineering, embedded engineering, business development, and other company leaders</li>
<li>Reporting status, risks, accomplishments, expectations to senior leadership</li>
</ul>
<p>Required qualifications include:</p>
<ul>
<li>A minimum of 5 years of systems engineering or related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience</li>
<li>B.S. degree in a STEM discipline (e.g., Software, Aerospace, Mechanical, Electrical, Systems Engineering)</li>
<li>Experience with Systems Engineering practices and principals, including writing, organizing, and verifying requirements</li>
<li>Experience with MBSE and related efforts</li>
<li>Experience working in cross-functional teams</li>
<li>Excellent communication skills, both written and verbally</li>
<li>Organized and methodical</li>
<li>Software engineer experience in C++ and/or Python</li>
<li>Experience in reading, interpreting, and applying engineering drawings, including assembly drawings, parts lists, wiring diagrams, and schematics</li>
<li>Demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others</li>
<li>The ability to obtain and maintain a US Security Clearance. US citizenship is required as only US citizens are eligible for a security clearance</li>
</ul>
<p>Preferred qualifications include:</p>
<ul>
<li>Expertise with MBSE, inclusive of use of Cameo API and Velocity Template Language (VTL)</li>
<li>Expertise with Requirement &amp; Design decomposition</li>
<li>Experience in any/all of the following: Autonomy, Aircraft, Unmanned Vehicles</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>$140,000 - $210,000 a year</Salaryrange>
      <Skills>Systems Engineering, MBSE, Unified Modeling Language (UML), Systems Modeling Language (SysML), Unified Profile for DoDAF/MODAF (UPDM), C++, Python, Engineering drawings, Assembly drawings, Parts lists, Wiring diagrams, Schematics, Cameo API, Velocity Template Language (VTL), Requirement &amp; Design decomposition, Autonomy, Aircraft, Unmanned Vehicles</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</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, developing intelligent systems for protecting service members and civilians.</Employerdescription>
      <Employerwebsite>https://www.shield.ai</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.lever.co/shieldai/5066a608-9185-4426-831b-c0ade202c358</Applyto>
      <Location>San Diego, California / Dallas, Texas / Washington, DC / Boston, MA</Location>
      <Country></Country>
      <Postedate>2026-04-17</Postedate>
    </job>
  </jobs>
</source>