AI/ML Manager, R&D (Kubota Technology Innovation North America)

Kubota Tractor Corporation•Grapevine, TX

63d•Hybrid

About The Position

Kubota is transforming vehicle automation across agriculture and construction. As Manager of R&D, you'll lead a team of AI/ML engineers to build industrial-grade perception systems that replicate human sensing-vision, hearing, and touch-for fully autonomous operation. Collaborating with cross-functional teams, you'll design advanced sense-plan-act pipelines and develop a scalable AI/ML tech stack that powers autonomy across Kubota's entire machinery line.

Requirements

Bachelors in computer engineering, Computer Science, Robotics or a related field required. Master's degree preferred.
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.
Prior management and project leadership experience required.
Willingness to travel up to 25%.

Nice To Haves

ROS2 experience preferred.
Python and PyTorch experience preferred.
Experience in Agriculture or Construction industries 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.
Assist in organizing teams and resources to complete proof-of-concept and commercialization programs and projects.
Create demonstrations/presentations for all levels within the organization.
Develop and maintain technical documentation from projects.
Identify and disclose new intellectual property and mentor team members to do the same.
Mentor and lead team members to follow a set of Engineering Process Guidelines contributing to high quality project outcomes.
Manage vendors needed to complete project assignments.
Other responsibilities as assigned by management.