# Functional Safety AI Principal Engineer

**Company**: Ford
**Location**: Dearborn, MI
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Automotive

**Apply**: https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/72289?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_7ee88883-327

## Description

We are seeking a Functional Safety AI Principal Engineer to connect AI functional safety to software and quality engineering at Ford. As a Principal technical authority, you will bridge architecture, safety, software quality, AI/ML engineering, and program execution.

Responsibilities:

- Implement guardrails for safety within existing quality requirements enforced through the same development pipeline, quality gates, and metrics.

- Drive system safety architecture and assurance strategy for AI across Ford's ADAS/AD, driver-monitoring, and connected/embodied-AI programs.

- Lead adoption of emerging AI-safety standards and process frameworks and prepare Ford for AI-specific regulation.

- Assess AI maturity within projects, process frameworks, and Ford infrastructure to develop an AI in FuSa Health Dashboard.

- Work with Ford Connected Vehicle Software and Product Data Integrity, and supplier engineering teams to identify safety-related process and work product gaps and recommend best practice solutions.

- Develop a capability maturity plan working with engineering stakeholders.

- Report to the Director of the Office of Functional Safety Assurance (OFSA).

Requirements:

- FuSa/AI Technical Leadership: Apply, demonstrate, and champion best-in-class methods, tools, and practices to ensure embedded software achieves safety.

- AI in FuSa Software Health Dashboard Ownership: Lead the development of the Health Dashboard for the enterprise, including its metrics and criteria for maturity.

- Strategic leadership: Provide strategic direction and leadership to the safety community, fostering a culture of collaboration, innovation, and excellence.

- Ownership of the AI in FuSa strategy: Responsible for the definition and deployment of maturity model, framework for safe AI development, and AI-enhanced confirmation.

- Cross-functional collaboration: Collaborate closely with cross-functional teams to drive execution to program timelines.

- FuSa Software-related escapes: Apply system engineering, risk analysis, troubleshooting, and root cause analysis methods to find software-related issues and close the loop to process, methods, and tools gaps.

- Alignment of FuSa, Cyber, and Quality Assurance: Align and exploit synergies with SQA where this helps drive FuSa maturity.

- Continuous improvement: Drive continuous improvement initiatives to optimize software development and deployment processes, tools, and methodologies, enhancing effectiveness.

- Communication: Provide consistent health status, insights, risks, and opportunities to executive leadership and stakeholders.

## Skills

### Required
- AI
- Functional Safety
- Software Engineering
- Quality Engineering
- System Safety Architecture
- AI Safety Standards
- Process Frameworks
- Regulatory Compliance

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