Senior Robotics Perception Engineer

Intuitive Autonomy; San Jose (CA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Salary + Equity

Cutting-edge robotics tools

Mentorship from industry experts

Collaborative, mission-driven culture

Job summary

Intuitive Autonomy is seeking a Senior Robotics Perception Engineer in San Jose to build multimodal perception pipelines for autonomous caregiving robots. You will work with camera, LiDAR, and sonar data, fusing modalities and developing pose estimation for people and objects, while collaborating with planning and control teams to deliver reliable perception on real-world robotic platforms.

The role emphasizes hands-on deployment, calibration, and evaluating perception systems with real-world

Qualifications

• Bachelor’s degree or higher in a related field with 3+ years industry experience.
• Proficiency in C++ and Python, with ROS 2 experience.
• Experience with deep learning frameworks (PyTorch or TensorFlow) for object detection/segmentation.
• Hands-on model deployment with TensorRT/ONNX or embedded inference engines.
• Experience with sensor fusion and multi-object tracking.
• Familiarity with BEV perception, occupancy networks, or semantic segmentation.
• Knowledge of camera, LiDAR, IMU calibration, time synchronization, and rigid-body dynamics.

Responsibilities

• Develop models/algorithms to detect, classify, and track objects using camera, LiDAR, and sonar data.
• Fuse camera and LiDAR data into robust, real-time perception pipelines.
• Develop and integrate pose estimation models for people, wheelchairs, and other objects.
• Implement sensor calibration, time synchronization, and coordinate frame transformations.
• Evaluate perception performance using real-world data, simulation, and 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.

Skills

C++

Python

Education

Bachelor’s degree or higher

Tools

ROS 2

PyTorch

TensorFlow

TensorRT

ONNX

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