Embedding VC

Sr. Perception Engineer

Fremont, CA · Senior

Sponsorship not specifiedDetected 147 days ago

AlgorithmsDeep LearningTensorFlowPyTorchComputer VisionRoboticsSensors

About the role

The role focuses on enabling robust 3D perception from cameras and LiDAR data for object understanding, scene reconstruction, and manipulation in unstructured environments.

Develop algorithms for 3D perception tasks such as object detection, pose estimation, and scene reconstruction using multiple RGB-D and LiDAR data.
Build and maintain perception pipelines that combine geometric methods with data-driven approaches.
Collaborate with motion planning, manipulation, and system software teams for seamless integration into autonomous workflows.
Pixmo, the company's robot, is designed to autonomously handle boxes for trailer unloading, palletizing, case picking, and trailer loading.
We're a small team with big goals, building robots that make work safer and smarter.

5+ years (including Master / PhD) of professional experience in 3D perception for robotics or autonomous systems.
Over two years of experience leading and delivering high-impact perception initiatives.
Demonstrated experience deploying perception systems in real robotic environments.
Experience with multi-sensor fusion, calibration, and synchronization.
Knowledge of GPU optimization and real-time inference (TensorRT, ONNX Runtime).
Experience with different simulation environments (Isaac Sim, Gazebo).
Bachelor or above in Robotics, Computer Vision, or related field.
Proficiency in point cloud processing and geometry-based vision (e.g., PCL, Open3D, ROS2 perception stack).
Strong software development skills in C++.
Startup mindset: hands-on, proactive, and ownership-driven.
Familiarity with AI-based perception or deep learning frameworks (PyTorch, TensorFlow).
Background in warehouse or industrial robotics.
This role is essential to advancing the perception capabilities of our autonomous systems. The successful candidate will contribute to the accuracy, robustness, and efficiency of our robots operating in real-world warehouse environments.

This listing is sourced directly from Embedding VC's careers page and normalized into a canonical job model.