Robotics Perception Engineer

About Slip Robotics

Slip Robotics is transforming freight logistics with autonomous robotic systems that load and unload trailers faster, safer, and more reliably than traditional methods. Our robots operate in demanding real-world environments alongside people and heavy cargo every day. We are a small, high-impact team based in Atlanta building products that are already deployed in production.

The Role

We are looking for a Robotics Perception Engineer to own the sensing and perception stack on our autonomous mobile robots. You will work across LiDAR, cameras, IMUs, and other sensor modalities to give our robots a reliable understanding of their environment—including trailers, pallets, dock infrastructure, and people. This is a hands-on role where your work ships to production robots operating in live freight facilities.

We need someone who has shipped software on real robots at real customer sites. You should have experience deploying perception systems that work reliably in unstructured or semi-structured environments, and you should be comfortable debugging sensor issues on physical hardware.

Key Responsibilities

Design, implement, and maintain the perception pipeline for autonomous mobile robots, including object detection, segmentation, localization, and mapping

Integrate and calibrate LiDAR, depth cameras, and other sensors on production robot platforms

Develop robust point cloud processing and filtering for reliable operation

Build and maintain sensor fusion systems that combine multiple modalities for accurate environment understanding

Create and manage datasets for perception model training, validation, and regression testing

Collaborate closely with navigation, controls, and hardware teams to ensure perception outputs meet downstream requirements

Debug and resolve perception failures on deployed robots using logs, recorded sensor data, and on-site investigation

Contribute to CI/CD pipelines for perception software testing and deployment

Requirements

5+ years of professional experience building perception systems for physical robots at a robotics or autonomous vehicle company

Strong proficiency in C++ and Python

Deep experience with LiDAR processing (point cloud filtering, clustering, registration, SLAM)

Hands-on experience with camera-based perception

Production experience with ROS or ROS 2

Experience with sensor calibration (intrinsic, extrinsic, multi-sensor)

Familiarity with machine learning frameworks (PyTorch, TensorFlow) for perception tasks

Track record of deploying perception software to real robots in real environments—not just simulation

Strong debugging skills and comfort working with physical hardware