RIVR builds physical AI robots designed to navigate stairs, gates, and cluttered spaces to deliver packages to doorsteps. The stack combines classical robotics (ROS 2, LiDAR, C++) with modern ML (PyTorch, Stable Diffusion, Transformers adoption) — a blend that reflects their core challenge: controlling physical hardware in unstructured real-world environments rather than pure software optimization. Hiring is engineering-heavy (26 of 41 roles) and skewed senior, indicating they're scaling from prototype toward manufacturing and field deployment.
Tech Stack 39 technologies
Core StackC++ Python SolidWorks PyTorch GitHub Actions Docker Kubernetes gRPC Stable Diffusion ROS 2 C/C++ JTAG GDB ROS Fusion 360 LiDAR Git DVC Isaac Sim Ray Hydra Instagram LinkedIn YouTube TikTok X 4G/LTE 5G Wi-Fi WebRTC+8 more
AdoptingTransformers
What RIVR Is Building
◆Challenges
- Transitioning prototypes to mass production
- Maintaining lab safety
- Scaling robotic fleets across europe
- Cost-effective large-scale production
- Diagnosing mechanical issues in the field
- Autonomous behavior without human guidance
- Complex real-world locomotion tasks
- Building and scaling operations
- Improving operational safety
- Reliable robots in real urban environments
▲Active Projects
- Implement deployment-ready code for the real robot, optimized for the robot’s computational constraints
- Build and scale austin operations
- Testing software updates in real-world conditions
- Develop imitation learning algorithms for autonomous robot actions
- Dynamic mapping of the environment
- Deploy code for real robot
- Electro-mechanical assemblies for robots
- Prototype testing for robotic payloads
- Pcb integration into mechanical structures
- Robot deployment at customer sites
Hiring Activity
Minimal45 roles · 3 in 30d
Department
Seniority
Notable leadership hires: Head of Product
Company intelligence
