Kubota is transforming vehicle automation across agriculture and construction by building industrial-grade perception systems that replicate human sensing for fully autonomous operation.
Requirements
- 5+ years working on perception algorithms, machine learning, data science and computer vision to support object detection, scene understanding and decision making.
- Minimum 5 years of professional C++ and C experience including fluency with OOA/OOD/OOP methodologies required.
- 5+ years’ experience developing software for embedded Linux platforms.
- ROS2 experience preferred.
- Python and PyTorch experience preferred.
- Knowledge of localization, control, and sensor integration is preferred.
Responsibilities
- Manage and mentor AI/ML Engineers in the development of a full vehicle automation stack.
- Collaborate with a cross-functional team to develop full vehicle automation and autonomy focusing on system perception requirements.
- Apply AI/ML and perception techniques to develop a fully functional perception stack.
- Drive decision making for sensor suite and its integration into the perception stack.
- Collaborate with program management, systems, and architecture engineers to ensure alignment with requirements.
- Work alongside the AI/ML Architect to implement unique solutions for autonomous systems.
- Lead and organize data collection and annotation efforts.
Other
- Position requires some onsite (Grapevine, TX)
- previous management experience is required.
- Prior management and project leadership experience required.
- Experience in Agriculture or Construction industries preferred.
- Willingness to travel up to 25%.
