Join the Mission
We're building the intelligence layer for the physical world. Solve hard problems, work with massive datasets, and ship code that moves atoms.
Built in Dallas. No Exceptions.
We don't offshore. We don't do distributed teams. All engineers work onsite in Dallas, Texas.
Deep technical work requires deep collaboration. We're building systems that see the physical world—that demands being in the same room, whiteboarding together, and shipping as one team.
Computer Vision Engineer
We are looking for an experienced Computer Vision Engineer to design and deploy real-time object detection and tracking models for industrial environments. You will work on edge-optimized architectures that run on limited compute while delivering high accuracy in challenging lighting conditions.
- Deep experience with PyTorch or TensorFlow
- Proficiency in C++ and Python
- Experience optimizing models for edge (TensorRT, ONNX)
- Background in visual tracking algorithms
- Familiarity with SLAM is a plus
Full Stack Engineer
Join our platform team to build the dashboards, APIs, and data pipelines that turn raw video streams into actionable operational insights. You will own features from database schema to React components, ensuring low-latency data visualization and robust system reliability.
- Strong proficiency in Python (FastAPI/Flask)
- Expertise in Modern JavaScript/TypeScript & React
- Experience with Azure or AWS cloud services
- Knowledge of WebSocket/Real-time data handling
- Database design (SQL & NoSQL)
Computer Vision Intern
Join our team as a Computer Vision Intern and gain hands-on experience building real-time vision systems for industrial applications. You'll work alongside senior engineers on production systems, contributing to model training, data pipeline development, and edge deployment. This is a paid internship for students pursuing degrees in Computer Science, Electrical Engineering, or related fields.
- Currently pursuing BS/MS in Computer Science or related field
- Strong foundation in Python programming
- Coursework or projects in computer vision or machine learning
- Familiarity with PyTorch, TensorFlow, or OpenCV
- Eagerness to learn and work on real production systems