About the role
Design and implement end-to-end security and safety architectures for robotic systems, spanning the full hardware-software robot stack, including device-level security (secure boot, firmware integrity, encrypted communications), platform-level security (identity, access control, certificate management), and cloud-to-edge security for robot fleet management. Develop and maintain safety analyses and threat models (FMEA, FTA, HAZOP, STPA) specific to robotic systems operating in human-populated environments, identifying risks from cyber-attack vectors, AI behavior failures, hardware faults, and environmental uncertainties. Define and enforce safety envelopes and runtime safety monitors for autonomous robot behaviors, including collision avoidance, force limiting, workspace boundaries, and graceful degradation under sensor or actuator failure conditions. Analyze key security metrics, KPIs, and telemetry data to identify trends in security posture and safety incidents, implementing mitigation strategies and driving continuous improvement of the platform's security and safety posture. Design and scale solutions to address identified security control issues (network, identity, applications) and current threats specific to robotics deployments, anticipating and articulating risks to leadership. Develop and implement incident response processes for robotics-specific security and safety events, including physical safety incidents, AI behavior anomalies, fleet compromise scenarios, and supply chain integrity concerns. Collaborate with robotics engineers, AI researchers, and platform engineers to embed security and safety
requirements into the software development lifecycle, including secure coding standards, security testing in CI/CD pipelines, and safety validation in simulation. Leverage automation and AI to improve effectiveness of security operations, including automated vulnerability scanning, anomaly detection in robot telemetry, and AI-assisted threat hunting across the robotics fleet. Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience with functional safety standards (IEC 61508, ISO 13482, ISO 10218) or safety engineering methodologies (FMEA, FTA, STPA, HAZOP) applied to robotic or autonomous systems. Experience with AI safety, including runtime monitoring of autonomous system behaviors, safety envelope enforcement, or red-teaming of AI-enabled physical systems. Familiarity with robotics system architectures, ROS/ROS2 security models, and cloud-to-edge communication security for robot fleets. Industry certifications in cybersecurity (CISSP, GICSP, CEH) or functional safety (TUV, CFSE) are a plus. Background in IoT security, embedded systems security, or operational technology (OT) security for connected physical devices. Experience developing and executing security breach drills, tabletop exercises, or incident response simulations for cyber-physical systems.
