{"schemaVersion":"jobsearcher.job.v1","id":"4bdb5a6fc8f5920d0aa83219","url":"https://jobsearcher.com/jobs/4bdb5a6fc8f5920d0aa83219","canonicalUrl":"https://jobsearcher.com/jobs/4bdb5a6fc8f5920d0aa83219","title":"Perception Engineer","description":"Human Computer Lab is a research lab building character robots that feel alive and responsive. Our first robot, LeLamp, explores a new category of consumer robotics where everyday objects become interactive and help us reshape our attachment to technology.\nOur goal is to push the frontier of human-robot interaction by making technology more legible, emotionally intuitive, and human-centered. We are building the foundation for a new generation of robots designed for everyday environments.\nWhat to Expect\nWe are looking for a hands-on Perception Engineer who can build the system that allows our robot to understand people and the world around it. You will work on developing computer vision and machine learning system at the core of the robot’s awareness, enabling it to recognize people, understand gestures, track attention, and respond naturally in real time. The liveliness of our robot will truly convey the character interface that we are building that can learn and adapt as required.\nThis role sits at the intersection of robotics, machine learning, and software engineering. You will work closely with the CEO and the founding team to develop perception capabilities from prototype to deployment, collecting data, training models, optimizing performance, and integrating the stack directly into the robot's behavior.\nIn this Role, You Will:\nDesign, train, and deploy computer vision and perception models for person detection, tracking, pose estimation, gesture recognition, emotion recognition and scene understanding.\nDevelop data collection, labeling, and evaluation pipelines to improve model performance and reliability.\nBuild perception systems that operate robustly across varying lighting conditions, environments, and user behaviors.\nOptimize models for real-time inference on edge hardware while balancing latency, accuracy, and power constraints.\nWork with RGB cameras, depth sensors, IMUs, audio inputs, and other sensor modalities to create multi-modal perception systems.\nDevelop tools for dataset management, model evaluation, debugging, and monitoring.\nSupport integration between perception, behavior, controls, and firmware systems.\nStay updated with state-of-the-art research to develop architectures and techniques that can improve the robot’s ability to understand and interact with people.\nDebug perception failures systematically and close the loop through data-driven improvements.\nHelp define and evolve the platform’s perception architecture as the robot grows in capability.\nYou May Be a Good Fit If You:\nHave a degree in Computer Engineering, Computer Science, Robotics, Electrical Engineering, or a related field, and a minimum of 3+ years of hands-on experience.\nAre proficient in Python and comfortable working in C++ when required.\nHave experience training and deploying machine learning models using frameworks such as PyTorch, TensorFlow, ONNX, or similar tools.\nHave worked on computer vision problems such as object detection, tracking, pose estimation, segmentation, gesture recognition, or activity understanding.\nHave experience deploying models to edge devices and optimizing performance for real-world systems.\nUnderstand the challenges of collecting, labeling, and maintaining high-quality datasets.\nAre comfortable working in environments where architecture is still evolving and your input shapes direction.\nDocument clearly and drive issues to resolution.\nYou Will Be a Strong Fit If You:\nCare deeply about building perception systems that work reliably outside ideal lab conditions.\nHave strong intuition for debugging machine learning systems and can distinguish between data problems, model problems, and deployment problems.\nEnjoy converting cutting-edge research into practical systems that ship.\nThink critically about tradeoffs between accuracy, latency, robustness, power consumption, and cost.\nHave the ability to quickly adapt through iteration cycles without waiting for perfect information to make progress.\nTake ownership over systems end-to-end, from data collection and training through deployment and monitoring.\nWork well in small, collaborative teams where software, hardware, controls, and AI are in constant conversation.\nCare about what perception enables: awareness, responsiveness, and the feeling that the robot is alive.\n\nThe early team becomes the DNA of the company. We set ourselves and others to a high standard, and we respond with kindness when things get hard but keep everyone accountable. This requires us to be curious, creative, and diverse in our thinking and approach.\n\nWe’re proud to be an equal opportunity employer and consider all qualified applicants regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Even if you don’t meet every single requirement, we encourage you to apply. Studies show that women and underrepresented groups often hold back unless they meet 100% of the criteria - we don’t want that to be the reason we miss out on great talent.","company":"Human Computer Lab","rawCompany":"human computer lab","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-06T15:07:46.899Z","occupations":[{"code":"17-2199.08","title":"Robotics Engineers","slug":"robotics-engineers"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"17-2112.01","title":"Human Factors Engineers and Ergonomists","slug":"human-factors-engineers-and-ergonomists"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541330","title":"Engineering Services","slug":"engineering-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Perception Engineer","description":"Human Computer Lab is a research lab building character robots that feel alive and responsive. Our first robot, LeLamp, explores a new category of consumer robotics where everyday objects become interactive and help us reshape our attachment to technology.\nOur goal is to push the frontier of human-robot interaction by making technology more legible, emotionally intuitive, and human-centered. We are building the foundation for a new generation of robots designed for everyday environments.\nWhat to Expect\nWe are looking for a hands-on Perception Engineer who can build the system that allows our robot to understand people and the world around it. You will work on developing computer vision and machine learning system at the core of the robot’s awareness, enabling it to recognize people, understand gestures, track attention, and respond naturally in real time. The liveliness of our robot will truly convey the character interface that we are building that can learn and adapt as required.\nThis role sits at the intersection of robotics, machine learning, and software engineering. You will work closely with the CEO and the founding team to develop perception capabilities from prototype to deployment, collecting data, training models, optimizing performance, and integrating the stack directly into the robot's behavior.\nIn this Role, You Will:\nDesign, train, and deploy computer vision and perception models for person detection, tracking, pose estimation, gesture recognition, emotion recognition and scene understanding.\nDevelop data collection, labeling, and evaluation pipelines to improve model performance and reliability.\nBuild perception systems that operate robustly across varying lighting conditions, environments, and user behaviors.\nOptimize models for real-time inference on edge hardware while balancing latency, accuracy, and power constraints.\nWork with RGB cameras, depth sensors, IMUs, audio inputs, and other sensor modalities to create multi-modal perception systems.\nDevelop tools for dataset management, model evaluation, debugging, and monitoring.\nSupport integration between perception, behavior, controls, and firmware systems.\nStay updated with state-of-the-art research to develop architectures and techniques that can improve the robot’s ability to understand and interact with people.\nDebug perception failures systematically and close the loop through data-driven improvements.\nHelp define and evolve the platform’s perception architecture as the robot grows in capability.\nYou May Be a Good Fit If You:\nHave a degree in Computer Engineering, Computer Science, Robotics, Electrical Engineering, or a related field, and a minimum of 3+ years of hands-on experience.\nAre proficient in Python and comfortable working in C++ when required.\nHave experience training and deploying machine learning models using frameworks such as PyTorch, TensorFlow, ONNX, or similar tools.\nHave worked on computer vision problems such as object detection, tracking, pose estimation, segmentation, gesture recognition, or activity understanding.\nHave experience deploying models to edge devices and optimizing performance for real-world systems.\nUnderstand the challenges of collecting, labeling, and maintaining high-quality datasets.\nAre comfortable working in environments where architecture is still evolving and your input shapes direction.\nDocument clearly and drive issues to resolution.\nYou Will Be a Strong Fit If You:\nCare deeply about building perception systems that work reliably outside ideal lab conditions.\nHave strong intuition for debugging machine learning systems and can distinguish between data problems, model problems, and deployment problems.\nEnjoy converting cutting-edge research into practical systems that ship.\nThink critically about tradeoffs between accuracy, latency, robustness, power consumption, and cost.\nHave the ability to quickly adapt through iteration cycles without waiting for perfect information to make progress.\nTake ownership over systems end-to-end, from data collection and training through deployment and monitoring.\nWork well in small, collaborative teams where software, hardware, controls, and AI are in constant conversation.\nCare about what perception enables: awareness, responsiveness, and the feeling that the robot is alive.\n\nThe early team becomes the DNA of the company. We set ourselves and others to a high standard, and we respond with kindness when things get hard but keep everyone accountable. This requires us to be curious, creative, and diverse in our thinking and approach.\n\nWe’re proud to be an equal opportunity employer and consider all qualified applicants regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Even if you don’t meet every single requirement, we encourage you to apply. Studies show that women and underrepresented groups often hold back unless they meet 100% of the criteria - we don’t want that to be the reason we miss out on great talent.","datePosted":"2026-08-06T15:07:46.899Z","dateModified":"2026-08-06T15:07:46.899Z","hiringOrganization":{"@type":"Organization","name":"Human Computer Lab","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4bdb5a6fc8f5920d0aa83219"},"url":"https://jobsearcher.com/jobs/4bdb5a6fc8f5920d0aa83219"}}