At Simbe Robotics, we’re advancing autonomous retail intelligence through state-of-the-art robotics, AI-driven perception, and scalable cloud infrastructure. Our fully autonomous, ROS-powered Tally™ mobile robots scan stores across the globe—delivering unmatched daily shelf intelligence and inventory insights to retailers.
Demand for our technology is growing rapidly—especially following our recent $50M Series C round led by Goldman Sachs—and we’re scaling our team to meet it.
We’re hiring across a range of technical roles and looking for passionate engineers and scientists with experience in robotics, software engineering, computer vision, machine learning, data science, and more.
If you’re excited about building production-scale robotic systems at the intersection of AI, autonomy, and hardware, we’d love to hear from you!
Open Roles
(List not exhaustive - all roles here)
Senior Software Engineer (C++ & Python)
Join the team behind Tally™, working across the entire robotics software stack—navigation, perception, autonomous behaviors, hardware drivers, cloud integration, and infrastructure. Your mission: make our robots smarter, faster, more reliable, and easier to operate.
Robotics Software Engineering Internship (Summer / Fall / Spring)
Spend 3 months embedded with our robotics team, contributing to real-world systems for navigation, perception, autonomy, hardware drivers, and cloud integration. You’ll gain deep hands-on experience building production-grade software using ROS in live commercial environments.
Senior Robot Perception Engineer
Act as a key bridge between our Computer Vision and Robotics teams. You’ll own the full pipeline for object detection—data collection, annotation, model training, validation, and integration into real-time robotic systems—driving improvements in robotic autonomy and perception accuracy.
Camera Systems Software Engineer
Lead the development and optimization of high-performance camera software for Nvidia Jetson-based vision systems. You’ll work across MIPI CSI integration, Nvidia Argus APIs, and real-time image processing pipelines to ensure low-latency, high-throughput vision for autonomous robotics.
Computer Vision & Machine Learning Engineer
Design and deploy deep learning–based perception models for object detection, semantic segmentation, and SLAM. Optimize real-time image pipelines and contribute to advanced multi-sensor fusion and 3D scene understanding across dynamic environments.
Computer Vision Software Intern (Summer / Fall / Spring)
Work with our CV/ML team on a wide range of challenges, from object detection and OCR to 3D reconstruction and virtual tour creation. You’ll help improve our world-class image processing pipeline using data captured by Tally™ in the field, delivering actionable insights to our customers.