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Senior Administrative Assistant
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About the role
- Manager leading a team of embedded developers to drive TCU engineering excellence at Ford. Overseeing high-quality software releases for electric vehicle connectivity.
Responsibilities
- Provide technical leadership, strategic direction, and operational guidance to the development team.
- Help define and drive the technical roadmap for TCU software feature and platform development.
- Oversee implementation of key TCU features, including software updates, stolen vehicle recovery, and diagnostics.
- Drive process improvements, engineering best practices, and operational excellence.
- Establish and maintain high standards for code quality, debugging capabilities, and code coverage.
- Collaborate with cross-functional teams (product, systems, hardware, security) to deliver integrated solutions.
- Communicate technical decisions, risks, and trade-offs clearly to stakeholders and leadership.
- Recruit, hire, onboard, and mentor team members; foster a culture of ownership and continuous improvement.
- Identify, manage, and mitigate risks; proactively resolve bottlenecks to ensure on-time delivery.
- Own end-to-end TCU feature delivery and ensure features meet customer expectations for reliability, performance, and security.
Requirements
- Education- Bachelor’s degree in Computer Science, Engineering, or a related field of study.
- Experience- 10+ years' hands-on embedded software development experience in C/C++ and object-oriented design.
- 7+ years' experience leading embedded software development teams.
- Proven track record of designing software architecture, managing system integration, and debugging complex distributed systems through at least 2 complete product lifecycles.
- Even better, you may have... Experience with modern development, CI/CD, and collaboration tools, including SonarQube (static analysis), gcov (code coverage), Jenkins (CI/CD and job scheduling), JIRA (work tracking), and GitHub (version control).
- Experience with automotive embedded systems and software validation/testing
- Experience with embedded Linux operating systems
- Experience applying AI/ML techniques to software development and engineering
- Experience with cloud platforms and data analytics/visualization tools
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