Autonomous Systems Architect

Autonomous Systems Architect • Technical ownership of autonomous robotics architecture across multiple projects. • Support deployment of autonomous systems in industrial and enterprise environments. • Define architecture standards and governance practices across autonomous programs. • Contribute to innovation initiatives and reusable robotics frameworks. • Drive improvements in system scalability, safety, reliability, and operational efficiency. • Drives autonomous systems innovation and technology leadership. • Enhances operational efficiency through intelligent robotics solutions. • Improves safety and reliability of autonomous operations. • Establishes enterprise architecture standards for robotics platforms. • Supports successful integration of robotics, AI, cloud, and edge technologies. • Influences technology strategy and solution direction. • Ensures engineering excellence and architecture governance. • Supports successful client delivery and stakeholder engagement. • Define end-to-end architecture for autonomous robotic systems and intelligent mobility platforms. • Lead architecture design for robotic dog, AMR (Autonomous Mobile Robot), and autonomous inspection solutions. • Define navigation, localization, mapping, and obstacle avoidance frameworks. • Design sensor fusion architectures integrating LiDAR, Cameras, IMU, GPS, Radar, and other industrial sensors. • Establish perception and decision-making architectures supporting autonomous operations. • Define fleet management architecture for multi-robot coordination, monitoring, and mission execution. • Drive robotics middleware design using ROS/ROS2 and distributed robotics frameworks. • Establish simulation and validation strategies using digital twins, Gazebo, Isaac Sim, and related technologies. • Collaborate with AI and Computer Vision teams to integrate perception intelligence into robotic platforms. • Define communication architectures between robots, edge devices, cloud platforms, and enterprise systems. • Lead technical reviews, architecture assessments, and design governance activities. • Evaluate emerging robotics technologies and recommend adoption strategies. • Define safety, reliability, cybersecurity, redundancy, and operational compliance standards. • Support solution planning, effort estimation, technical proposals, and client discussions. • Mentor engineering teams and provide technical leadership across autonomous systems programs. • Establish reusable architecture patterns, frameworks, and accelerators for robotics solutions.