Senior Safety Systems Engineer
AIM Intelligent Machines
Senior Safety Systems Engineer
AIM Intelligent Machines
Autonomous AI-powered earth-moving construction systems.
AIM builds autonomy for the real world — robots that move mountains.
Our systems combine software, hardware, robotics, and mission-critical infrastructure into ruggedized autonomous machines operating on jobsites around the world. Safety is a system-level property that must be designed across the autonomy stack, machine controls, hardware, operator interfaces, and operational workflows.
We are building the safety architectures and validation frameworks that allow autonomous heavy machinery to operate reliably around people, equipment, and critical infrastructure.
You are a systems thinker with experience designing or validating safety-critical systems.
You understand how safety emerges from the interaction of hardware, software, autonomy, operators, and the environment. You think in terms of hazards, failure modes, degraded behavior, mitigation, and validation.
You are comfortable working across robotics, controls, hardware, software, and field operations, and you translate safety analysis into real engineering requirements and system behavior.
As a Senior Safety Systems Engineer, you will own major safety workstreams across AIM’s autonomous machines, including:
Develop system-level safety architectures across hardware, software, autonomy, and controls.
Lead hazard analysis using methods such as FMEA, Fault Tree Analysis, HAZOP, and STPA.
Define safety requirements, mitigations, degraded operating modes, and fail-safe behaviors.
Contribute to system safety cases and maintain traceability between hazards, requirements, mitigations, and validation evidence.
Define safe operating boundaries and Operational Design Domains.
Develop verification and validation strategies using simulation, SIL, HIL, fault injection, and field testing.
Define safe human-machine interaction, operator intervention, and emergency-stop behavior.
Analyze incidents, near misses, and fleet telemetry to identify emerging safety risks.
Partner with engineering teams to ensure safety requirements are implemented and validated in production systems.
Bachelor’s or Master’s degree in Systems Engineering, Aerospace, Mechanical, Electrical, Robotics, or a related field.
5+ years of experience with complex or safety-critical systems.
Experience with FMEA, Fault Tree Analysis, HAZOP, STPA, or similar safety methodologies.
Strong understanding of hardware-software integration.
Experience developing verification and validation strategies.
Ability to work across multidisciplinary engineering teams.
Experience with autonomous systems, robotics, heavy machinery, automotive, aerospace, or industrial systems.
Familiarity with standards such as ISO 17757, ISO 19014, ISO 13849, IEC 61508, ISO 26262, or SOTIF.
Experience with safety cases, requirements traceability, or certification processes.
Experience with HIL/SIL testing, fault injection, fleet telemetry, or field validation.
You think at the system level, understand how multiple subsystems can interact to create unsafe behavior, and can translate safety theory into practical engineering decisions.
You are comfortable balancing the ideal long-term safety solution with the pragmatic mitigation needed to safely move a product forward today.
Autonomous AI-powered earth-moving construction systems.
AIM Intelligent Machines builds autonomous systems for large-scale earth-moving, construction, and terraforming tasks. Its products are autonomous machines that operate continuously in demanding environments, combining AI software with specialized hardware to perform building, mining, and terrain-changing work without human pilots. These systems are offered as a service, with revenue coming from long-term contracts and partnerships, rather than one-time product sales. The company differentiates itself through a leadership team with experience from Google, Waymo, and Microsoft, a strong investor base, and a focus on hardware-software integration for industrial automation at scale. AIM’s goal is to reduce human labor in challenging industrial settings by delivering reliable, 24/7 autonomous machines that can execute earth-moving and construction tasks efficiently under long-term service agreements.
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