Sr. AI Perception Engineer

About Anyware

Anyware Robotics builds general-purpose mobile manipulator robots for industrial applications. Our robots are trusted by customers across logistics, retail, and manufacturing, supporting applications such as truck unloading, mobile palletizing, and machine tending.

The robots run on AnywareOS
, our industrial physical intelligence system. Its architecture is modular and designed to generalize across applications without reprogramming. We are seeking a Senior AI Perception Engineer to advance Anyware's production 3D AI perception stack for warehouse automation robots, with a focus on object localization, pose estimation, scene reconstruction, and deployment on robot compute within application cycle-time constraints.

This role is for an engineer who has taken AI perception from idea or prototype through production and real-world operation. You will make pragmatic tradeoffs across research potential, accuracy, reliability, latency, compute, data, maintainability, engineering effort, and delivery timelines, while providing senior technical leadership through architecture decisions, design reviews, incident investigations, and mentoring.

• Advance AI perception capabilities end to end within Anyware's existing perception stack—from problem definition and prototyping through deployment, monitoring, failure analysis, and production improvement.
• Develop and improve robust 3D perception algorithms and pipelines for object localization, pose estimation, scene reconstruction, and manipulation using RGB-D and other sensing modalities.
• Make pragmatic engineering tradeoffs across accuracy, robustness, latency, compute cost, data availability, maintainability, engineering effort, and delivery timelines.
• Improve perception reliability on physical robots by diagnosing and correcting failures caused by difficult scenes, changing lighting, sensor noise, and differences between training data and customer environments.
• Strengthen production readiness through better data, evaluation, regression testing, release criteria, observability, and systematic field-failure analysis.
• Collaborate across robotics teams to integrate perception reliably into planning, manipulation, controls, and system software workflows.

• MS or PhD in Robotics, Computer Vision, Computer Science, or a related field.
• 3+ years of professional experience developing robotic perception systems, with direct responsibility for deploying and operating perception software in production on physical robots.
• Strong Python / C++ skills for developing real-time robotic perception pipelines, including sensor-data processing and model integration using ROS or ROS
  2.
• Strong foundation in 3D geometry, camera models and calibration, RGB-D or point-cloud processing, and 3D object localization, segmentation, or pose estimation.
• Hands‑on experience developing AI perception models using PyTorch or similar frameworks and deploying them under latency and compute constraints on robot hardware.
• Experience building production data and evaluation pipelines, regression tests, observability, and systematic root‑cause analysis for field failures.
• Strong engineering judgment and senior-level ownership of architecture and design decisions, balancing technical ambition with reliability, resources, maintainability, and delivery timelines.

• Experience building data flywheels, hard‑example mining, offline evaluation, or model monitoring for deployed perception systems.
• Experience with multi‑sensor fusion and synchronization across cameras, LiDAR, encoders, or other robot sensors.
• Experience optimizing AI inference on edge GPUs using TensorRT, ONNX Runtime, CUDA, quantization, or similar techniques.
• Experience using Isaac Sim, synthetic data, or sim‑to‑real workflows for perception development and validation.
• Experience deploying robotic perception systems in warehouse, logistics, or other industrial environments.

• An A+ Team: Anyware is built by top talents. Collectively, our team has won six Best Paper Awards and Finalists, including the ICRA 2025 Best Paper Award and ICRA 2024 Best Paper Award.
• An A+ Robot: Our robot, Pixmo, won…