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Chef Robotics is on a mission to accelerate the advent of intelligent machines in the physical world. We are looking for a hands-on Perception Engineer who thrives in high-ownership environments and has shipped production-grade perception systems into the real world. You will lead efforts to improve how our robots perceive and interact with dynamic environments, across a wide range of food types, containers, and customer settings. This role is ideal for someone who wants to own the full stack: from selecting and integrating new sensor hardware to designing end-to-end data and ML pipelines to tracking performance in the field.
Job Responsibility:
Explore and integrate new sensors, particularly cameras, to improve robot perception
Develop and optimize perception models (detection, segmentation, classification) using classical and deep learning techniques
Calibrate cameras and refine sensor alignment for accurate real-world performance
Work on ML infrastructure, including data collection, annotation, and model training pipelines
Implement sensor fusion techniques to combine data from multiple sources
Develop tracking algorithms to improve object identification and movement prediction
Manipulate 3D geometry, including point cloud processing and camera transforms
Scale and refine the perception infrastructure to support our company’s growth
Collaborate with the robotics team to transition to modern platforms and technologies
Develop new perception models to support expanding customer needs and meal types
Improve and scale our perception infrastructure to meet growing demand
Assist in integrating new cameras and sensors for enhanced robotic vision
Contribute to system-wide improvements that increase efficiency and accuracy
Requirements:
BS, MS, or PhD in computer science, robotics, electrical engineering, mechanical engineering, or related field
Have shipped perception systems that are running in production environments (robotics, autonomy, manufacturing, or similar)
5+ years of research and industry experience in machine/deep learning and computer vision
Strong proficiency in Python (core language for development)
Experience with deep learning frameworks (preferably PyTorch or TensorFlow)
Expertise in ROS (Robot Operating System) or similar robotics frameworks
Strong software development skills, with a focus on deploying production-ready code
Are deeply familiar with classical and deep learning approaches in CV and 3D perception
Know how to build and evaluate datasets, with an eye for corner cases and failure modes
Understand the tradeoffs between modeling, data, hardware, and latency
Are comfortable navigating sensor hardware, calibration, and field validation
Thrive in fast-paced, startup environments and enjoy being onsite, hands-on, and close to the robot
Value safety, rigor, and user impact in the systems you build
Nice to have:
C++ proficiency for performance optimization
Cloud development experience (Google Cloud or AWS)
Docker and containerization expertise
Experience working in robotics start-ups or fast-paced environments
Deep understanding of camera calibration and perception sensors
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