Director of Safety Engineering, Robotics & Autonomous Systems

Safety Strategy & Leadership

Define and own Field AI’s product safety vision, strategy, and roadmap

Establish company-wide safety principles, policies, and governance for robotic systems

Act as the executive point of contact for product safety decisions and risk acceptance

Balance innovation speed with rigorous, risk-based safety practices

System, Autonomy & AI Safety Oversight

Provide technical leadership on system-level safety for autonomous robotic platforms

Guide safety approaches for:

Autonomous navigation, perception, and planning

Human–robot interaction in field environments

Fault tolerance, degraded modes, and fail-safe behaviors

Oversee safety treatment of AI/ML-driven components , including uncertainty and edge cases

Review and approve safety architectures, concepts, and safety cases

Cross-Functional & Executive Collaboration

Partner with leaders across:

Autonomy, perception, software, hardware, and systems engineering

Field operations, deployment, and customer programs

Influence product architecture and roadmap decisions through a safety lens

Provide clear, actionable guidance to executives on safety risks, tradeoffs, and mitigations

Standards, Compliance & External Engagement

Own Field AI’s approach to safety standards, regulatory alignment, and compliance

Guide interpretation and application of relevant standards (e.g., ISO 12100, IEC 61508, ISO 13849, ISO 10218)

Lead engagements with customers, partners, regulators, and third-party assessors

Ensure safety arguments are credible, defensible, and scalable across products

Team Building & Organizational Scale

Build, lead, and mentor a high-impact product safety team

Define roles, responsibilities, and career growth paths for safety engineers

Establish scalable safety processes that integrate naturally with engineering workflows

Champion a strong safety culture without slowing execution

Field Risk & Incident Management

Provide executive oversight for:

Field deployment risk assessmentsIncident response, investigations, and corrective actions

Define thresholds for risk acceptance and deployment readiness

Ensure lessons learned from the field are systematically fed back into product design