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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. AI Perception Engineer Job Description - **Company:** Anyware Robotics - **Location:** Fremont, CA, United States - **Experience:** Expert - **Salary:** $150,000.0 - $240,000.0 - **Contract:** Permanent contract - **Skills:** Training Data, Artificial Intelligence, Computer Vision, C++ (Programming Language), Encodings, Nvidia CUDA, Python (Programming Language), Operational Databases, Regression Testing, Sensor Fusion, System Software, Data Processing, Graphics Processing Unit (GPU), Pytorch, Information Technology, ONNX (Open Neural Network Exchange) Format, TensorRT, Lidar - **Published:** July 24, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=60a031c0d6652b64 ## About the Role * 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 ROS2. * 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. ## Description 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. What you'll do * 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. ## Related Videos - [Robots 2.0: When artificial intelligence meets steel](https://www.wearedevelopers.com/videos/1452-robots-2-0-when-artificial-intelligence-meets-steel) - [Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated](https://www.wearedevelopers.com/videos/100099-tour-de-force-open-source-llm-inference-optimization-from-simple-to-sophisticated) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [How to develop an autonomous car end-to-end: Robotic Drive and the mobility revolution](https://www.wearedevelopers.com/videos/22-how-to-develop-an-autonomous-car-end-to-end-robotic-drive-and-the-mobility-revolution) - [Robots are coming into the wild! Full-Stack Robotics Engineers, be ready!](https://www.wearedevelopers.com/videos/479-robots-are-coming-into-the-wild-full-stack-robotics-engineers-be-ready) - [Efficient deployment and inference of GPU-accelerated LLMs​](https://www.wearedevelopers.com/videos/929-efficient-deployment-and-inference-of-gpu-accelerated-llms) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Will AI replace Software Engineers?](https://www.wearedevelopers.com/magazine/340-will-ai-replace-software-engineers) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)