About this opportunity
Intuitive Autonomy lists this Senior Robotics Perception Engineer opportunity in san jose, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Intuitive Autonomy is building autonomous caregiving robots to empower safe and independent living for the large aging population. Our team includes experts in robotics, autonomous driving, and large-scale physical AI models, and we collaborate closely with world-leading researchers at Carnegie Mellon University’s Robotics Institute. Join us as we push the boundaries of AI and robotics to transform the hundred-billion-dollar eldercare industry.
Job Title
Senior Robotics Perception Engineer
Location
San Jose, CA
About Us
Intuitive Autonomy is building autonomous caregiving robots to empower safe and independent living for the large aging population. Our team includes experts in robotics, autonomous driving, and large-scale physical AI models, and we collaborate closely with world-leading researchers at Carnegie Mellon University’s Robotics Institute. Join us as we push the boundaries of AI and robotics to transform the hundred-billion-dollar eldercare industry.
Role Overview
We’re seeking a senior perception engineer to develop models and algorithms that help autonomous robots understand their surroundings. You’ll build multimodal perception pipelines and work with planning, control, localization, and systems teams to bring reliable perception to real-world robotic platforms.
Key Responsibilities
Develop models and algorithms to detect, classify, and track objects using camera, LiDAR, and sonar data, and build environment models of static scenes
Fuse camera and LiDAR data into robust, real-time perception pipelines
Develop and integrate pose estimation models for people, wheelchairs, and other relevant objects
Implement sensor calibration, time synchronization, and coordinate frame transformations
Evaluate perception performance using real-world data, simulation, and offline benchmarks
Collaborate with planning, control, localization, and systems teams to integrate perception outputs
Evaluate advances in AI, sensor fusion, and robotics to improve perception capabilities
Qualifications
Bachelor’s degree or higher in a related field and at least 3 years of industry experience
Proficiency in C++ and Python, with experience using ROS 2
Solid understanding of deep learning frameworks such as PyTorch or TensorFlow for object detection and segmentation
Hands-on model deployment experience with TensorRT, ONNX, or embedded inference engines
Experience with sensor fusion techniques and models
Familiarity with multi-object tracking, bird’s-eye-view (BEV) perception, occupancy networks, or semantic segmentation
Knowledge of camera, LiDAR, and IMU calibration, time synchronization, and rigid-body dynamics
Bonus Points
Scaled production experience with robotics, autonomous driving, or ADAS perception
Publications at CVPR, ICCV, ICRA, IROS, or related venues
What We Offer
Competitive salary + equity
Access to cutting-edge robotics & AI tools
Mentorship from industry experts
Collaborative, mission-driven culture
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Worksite address
san jose, CA, 95199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.