
11 - 50 employees
🚗 Transport
☁️ SaaS
💰 $10.6M Venture Round on 2023-05
Transport • Logistics • SaaS
Slip Robotics is a company focused on transforming the logistics industry with its innovative robots-as-a-service technology. Their flagship product, SlipBots, are designed to eliminate bottlenecks in loading docks by drastically improving speed, safety, and efficiency in the freight loading process. SlipBots enable truck loading and unloading in just 5 minutes without the need for forklift operators to enter trailers, thereby increasing throughput and expanding the labor pool. The service offers a subscription model that includes comprehensive support and live data insights without requiring Wi-Fi or IT integration, making it a seamless solution for last-mile freight logistics. Slip Robotics aims to revolutionize supply chain operations by optimizing short-haul, high-frequency logistics across various industries.
🕒 March 19
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11 - 50 employees
🚗 Transport
☁️ SaaS
💰 $10.6M Venture Round on 2023-05
Transport • Logistics • SaaS
Slip Robotics is a company focused on transforming the logistics industry with its innovative robots-as-a-service technology. Their flagship product, SlipBots, are designed to eliminate bottlenecks in loading docks by drastically improving speed, safety, and efficiency in the freight loading process. SlipBots enable truck loading and unloading in just 5 minutes without the need for forklift operators to enter trailers, thereby increasing throughput and expanding the labor pool. The service offers a subscription model that includes comprehensive support and live data insights without requiring Wi-Fi or IT integration, making it a seamless solution for last-mile freight logistics. Slip Robotics aims to revolutionize supply chain operations by optimizing short-haul, high-frequency logistics across various industries.
• - 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
• - 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 • - Excellent communication skills and ability to work in a small, fast-moving team • Nice to Have • - Master’s degree or higher in Computer Science, Robotics, or a related field • - Experience with AWS IoT, Greengrass, or similar edge-cloud architectures • - Experience in logistics, warehousing, or freight environments • - Background in Gazebo or other physics simulation for sensor modeling
• - Competitive salary and equity in an early-stage robotics company • - Comprehensive benefits including health, dental, and vision • - Permissive time off policy • - A small team where your work has direct, visible impact on shipped products • - The chance to work on robots that are operating in production today—not a research project
Apply Now🕒 March 18
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