Platform and Capabilities Systems Engineer

Ford Ford · Auto · Allen Park, MI +1 · Ford Next Businesses

This role focuses on developing and automating backend pipelines for platform systems engineering at Ford, including requirements, DFMEA, and capability dictionaries. It involves automating gap analysis, optimizing engineering processes, and using LLMs for quality analysis of engineering artifacts. The role also involves leading DevOps process design, experimenting with automation for pipeline processes, and integrating cross-functional team inputs.

What you'd actually do

  1. Develop backend pipelines for Platform Systems definitions including Requirements, DFMEA, Boundary Diagrams, SysML elements, Capability Dictionaries, WiKi’s
  2. Automate gap analysis between current and future capability requirements and actual implementation and requirements.
  3. Optimize current pipelines for engineering processes and determine improvements that yield faster iterations with automation.
  4. Create quality analysis of various artifacts used in the engineering processes using LLM.
  5. Lead the design of the DevOps process in alignment of current vehicle architectures and adapt to changes in the rapidly changing landscape of vehicle software.

Skills

Required

  • High Proficiency in programming languages and formats including C, C++, Python, JSON, and YAML.
  • Advanced DevOps skills using LLM integration, agents, cross application and database API integration
  • 1+ years of related experience with vehicle electrical architecture, topology, body systems and/or features.
  • 1+ years of experience in DevOps and software development
  • Concept, Logical and Technical requirement elicitation and authoring in plain text or Gherkin formats.
  • Strong learning agility, advanced systems thinking, and exceptional analytical skills.
  • Proven ability to lead and influence cross-functional teams.
  • Excellent verbal and written communication skills with the ability to quickly understand, articulate, and resolve complex issues.
  • Demonstrated emotional resilience to effectively negotiate cross-functional trade-offs.

Nice to have

  • A Master's Degree in Electrical Engineering or Mechatronics Engineering.
  • 3+ years of related experience in an Automotive Engineering role.
  • Strong skills using industry-standard tools such as Jira, Jama, FEDE, VSEM, DevOps tools (e.g., Github, Visual Studio), and Matlab/Simulink.
  • Extensive Electrical Systems Engineering experience, including a deep understanding of the systems engineering V-model.
  • Experience in automotive software Design & Release (D&R).
  • Experience with Vehicle-to-Cloud (V2C) work.
  • Expertise in Vehicle cybersecurity.
  • Proven launch experience in automotive programs.

What the JD emphasized

  • Advanced DevOps skills using LLM integration, agents, cross application and database API integration

Other signals

  • Develop backend pipelines for Platform Systems definitions
  • Automate gap analysis
  • Create quality analysis of various artifacts used in the engineering processes using LLM
  • Lead the design of the DevOps process
  • Experiment with automating the pipeline processes