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Bot Auto operates a proprietary autonomous truck fleet and sells Transportation as a Service to freight customers. The tech stack is heavy on perception (PyTorch, TensorFlow, LiDAR) and real-time systems (ROS, RTOS, Automotive Ethernet, Kubernetes), with C++ and Python as primary languages — a classic autonomous vehicle architecture. Active projects span the full stack from deep-learning models and HD map building through deployment pipelines and validation testing, while pain points center on latency reduction and system determinism, suggesting the company is past early research and focused on production reliability.
Tech Stack 28 technologies
Core StackPython C++ Docker PyTorch TensorFlow Linux Windows Server Jira Confluence Intune Go Java Kubernetes AWS CMake Bazel Git LiDAR TensorRT GNSS/RTK CAN Ethernet Jamf JavaScript/TypeScript C/C++ ROS RTOS Automotive Ethernet
What Bot Auto Is Building
◆Challenges
- Reducing latency
- Improving system determinism
- Improving development efficiency
- Ensuring fleet operational reliability
- Driver shortages
- Vehicle reliability
- Commercializing autonomous driving
- Payroll accuracy
- Dot compliance
- Supply chain shortage issues
▲Active Projects
- Autonomous driving software release pipelines
- Deep-learning observation models
- Internal tools for release and deployment
- Autonomous vehicle maintenance and enhancement
- Validation testing of autonomous vehicle repairs
- Online map building
- Hd map updating
- Real-time mapping and perception systems
- End-to-end object detection
- End-to-end planning and control
Hiring Activity
Minimal15 roles · 2 in 30d
Department
Seniority
Company intelligence
