Autonomous Systems Architect

Responsibilities :

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.

Technical and Professional Requirements:

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.