AIM

AIM

Lead Safety Systems Engineer

Seattle

Sponsorship not specifiedDetected 134 days ago
Machine LearningProduct ManagementSystems EngineeringRoboticsMechanical DesignElectrical EngineeringControlsTest AutomationCommunicationCollaboration

About the role

  • We replace decades of manual, error-prone, high-risk work with intelligent machines that reshape how earthmoving is done.
  • Autonomous heavy machinery introduces safety challenges that do not exist in traditional robotics or automotive autonomy.
  • AIM machines operate in dynamic environments where terrain is constantly changing, multiple machines operate in close proximity, and human workers interact directly with robotic equipment.

Responsibilities

  • Ensure validation programs cover the full operational design domain.
  • Develop automated testing frameworks for safety-critical systems.
  • Lead root cause analysis for safety incidents and near misses.
  • Ensure lessons learned are incorporated into system design, validation strategies, and operational procedures.
  • Lead cross-disciplinary safety design reviews.
  • Mentor engineers on hazard analysis and safety-critical system design.
  • Build scalable safety engineering processes that enable teams to design and validate safe systems.

Requirements

  • Bachelor's or Master's degree in Systems Engineering, Mechanical Engineering, Electrical Engineering, Robotics, or related technical field.
  • 7+ years of experience designing or validating safety-critical systems.
  • Experience with system safety analysis methods such as FMEA, HAZOP, FTA, or STPA.
  • Strong understanding of hardware-software system integration.
  • Ability to work across multidisciplinary engineering teams.
  • Safety is therefore not a single subsystem - it is a system-level property that must be designed into every layer of the autonomy stack and operational workflow.

Nice to have

  • Experience with functional safety standards such as:
  • Experience designing safety systems for heavy machinery, industrial robotics, automotive, or aerospace systems.
  • Experience with human-robot interaction safety design.
  • Experience with system observability and fleet telemetry systems.
  • Experience supporting regulatory or certification processes.
  • You think in terms of systems, not components, and understand how safety emerges from complex interactions.
  • You are comfortable operating at the intersection of robotics, software, hardware, and real-world operations.
  • You care deeply about ensuring autonomous machines behave safely in the environments where people depend on them.

Compensation

  • Competitive compensation, equity, medical/dental/vision, 401(k), life insurance.

Benefits

  • Collaboration with world-class engineers across robotics, software, hardware, and machine learning.
  • Competitive compensation, equity, medical/dental/vision, 401(k), life insurance.
  • Develop safety metrics including near-miss events, safety envelope violations, and system health indicators.

This listing is sourced directly from AIM's careers page and normalized into a canonical job model.