Robotics Perception Architect

You will join a long-term initiative in collaboration with a globally recognized industry leader. The project focuses on advancing physical AI and multi-fleet management systems to significantly enhance the performance and efficiency of outdoor vehicles.

This is a unique opportunity to work at the intersection of robotics, AI, and real-world hardware, where solutions go beyond simulation into practical application.

Responsibilities

• Define and own the end-to-end architecture of robotics perception systems, covering sensor selection, data pipelines, and real-time processing workflows
• Design scalable, modular perception solutions integrating computer vision, sensor fusion, AI/ML, Physical AI, and localization across edge and cloud environments
• Collaborate with clients and cross-functional teams to translate business requirements into architecture blueprints, roadmaps, and technology decisions
• Establish AI/ML strategies for perception, including model selection, data lifecycle management, and deployment aligned with performance requirements
• Integrate perception components into broader robotics systems — navigation, manipulation, planning — ensuring clean interfaces and interoperability
• Drive performance optimization by balancing latency, accuracy, and resource constraints in real-world and safety-critical conditions
• Lead engineering teams through design reviews, mentoring, and architectural standards enforcement across the full delivery lifecycle
• Explore emerging technologies, validate new approaches, and build reusable accelerators that strengthen the robotics consulting practice

• 8+ years of software development experience in C/C++ and Python, including 4+ years in lead or architect roles
• Hands-on expertise with AI-based robotics perception, computer vision, and agentic systems in production environments
• Strong command of ML frameworks and robotics tooling: TensorFlow, PyTorch, OpenCV, ROS/ROS2, object detection, segmentation, tracking, and Point Cloud/RGB-D processing
• Solid experience with SLAM, localization, mapping, motion planning for mobile platforms, and trajectory planning for robotic arms using MoveIt
• Practical knowledge of simulation and synthetic data generation tools such as Isaac Sim, Blender, or Genesis
• Experience deploying AI and CV models to production, including MLOps, CI/CD pipelines, and monitoring for complex systems
• Familiarity with cloud platforms (AWS, Azure) and Unix/Linux environments
• Strong mathematical foundation with the ability to design and implement efficient algorithms and software architectures