Software Complexity Liaison (SWCL)

Job Description

We are looking for highly potential Software Complexity Liaison (SWCL) to join our Vehicle Mechatronics Embedded Controls (VMEC) organization! The VMEC Complexity Liaison Software & Services is a individualcontributor role responsible for governing software complexity across embedded controllers and vehicle domains. The role focuses on software architecture and variant strategy portfolio and roadmap management and build/release complexity to enable predictable delivery robust quality and efficient reuse of software across addition this highly collaborative position works closely with domain software leads integration managers system and software architects DevOps/CI teams and program management to define how software streams (branches) are structured when new variants are justified and how the overall portfolio is measured and continually simplified.

Key Responsibilities:

• Drive SW stream and variant strategy for embedded controllers ensuring branch/cadence feature content and HW resources are planned to minimize complexity while preserving scalability technical debt and reuse.
• Build and maintain an integrated software roadmap and controller/program portfolio view across multiple domains (e.g. engine transmission chassis electrification battery body).

• Align software roadmaps with vehicle program milestones and release strategies across multiple cross functional/ART teams
• Consolidate epics features and initiatives into coherent longlived software streams that can serve multiple programs and regions.
• Highlight portfoliolevel risks and tradeoffs (e.g. too many active streams insufficient refactoring time overlapping initiatives) and drive resolution with stakeholders.
• Define and steward standards for software streams lifecycle states and release hygiene (branching entry/exit criteria naming tagging and versioning).
• Drive complexityreduction practices and partner with tooling/CI teams so build and configuration systems enforce portfolio governance via consistent metadata tagging and reporting.

• Collaborate with integration leads and DevOps/CI teams to ensure that build pipelines build trees and release trains align with the agreed software portfolio strategy.

• Anticipate and mitigate complexitydriven risks.
• Facilitate & Ensure crossfunctional discussions that balance timetomarket quality and complexity providing clear options and recommendations.
• Define track and visualize portfolio/complexity metrics (streams variants resource headroom build/test/defect trends) via standard dashboards and reports.
• Use these insights to drive capacity planning surface complexity hot spots and lead improvement initiatives that reduce systemic complexity and improve portfolio health.

• Facilitate software and integration teams on complexityaware planning (release/stream structure variant lifecycle and refactoring alongside new feature work).

• Communicate clear datadriven stories to engineers and leaders and foster a culture of simplicity reuse and longterm maintainability.

Required Skills and Qualifications:

• Bachelors degree in Computer Engineering Electrical Engineering Computer Science Software Engineering or a related technical field (or equivalent practical experience).
• 7 years of experience in embedded or automotive software development integration or architecture.
• Solid understanding of:
• Embedded software architecture and design principles (modularity layering interfaces abstraction).
• Version control branching strategies and configuration management at scale.
• Continuous Integration / Continuous Delivery / Continuous Process concepts and build pipelines.
• Demonstrated experience operating in a portfolio or systemslevel role such as:
• Integration/feature lead platform architect or software lead responsible for multiple ECUs or programs.
• Strong analytical skills with the ability to:
• Interpret metrics and data to identify patterns and root causes.
• Weigh tradeoffs among complexity risk schedule cost and quality.
• Excellent written and verbal communication skills; able to influence and align crossfunctional stakeholders without direct authority.

Preferred Qualifications:

• Master degree in Computer Engineering Electrical Engineering Computer Science Software Engineering or a related technical field (or equivalent practical experience).
• PMI Agile Certified Practitioner
• Experience AI and Advance Data Analytics.
• Experience in automotive or other safetycritical domains with familiarity with standards such as ASPICE ISO 26262 AUTOSAR CMMI or equivalent.

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