Robotics Perception Architect (Windsor)

About the role In this role, you will architect and deliver perception systems that power intelligent robotics solutions for enterprise clients - from sensor fusion and computer vision to real-time AI pipelines running at the edge and in the cloud. You will shape technical strategy, guide cross‑functional teams, and own delivery from early concept through production. Your work will directly define how clients adopt and scale autonomous systems in complex, real‑world environments. Responsibilities Define and own 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 Requirements 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 Move It 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 Soft Serve is an Equal Prospect Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Let’s put your talents and experience in motion with Soft Serve. #J-18808-Ljbffr