The Controller will manage day-to-day financial operations, oversee financial reporting, enhance operational processes, and collaborate with multiple departments in a tech-focused AI company.

As a Machine Learning Engineer, you will build data pipelines, automate ML workflows, and enhance model performance through experimentation and collaboration.

The Software Developer will design and build scalable cloud services for AI-driven robotics, improving automation reliability and security while ensuring system performance and compliance.

The Roboticist will design, integrate, and test vision-guided robotic systems for manufacturing, improving automation with hands-on experience in robotics and mechatronics.

Develop production-grade full stack software for AI-powered robotics, focusing on creating intuitive web applications and integrating AI-driven tools for robotics engineers.

The Robotic Solutions Engineer designs robotic vision solutions, troubleshoots complex integrations, and collaborates with teams to improve AI-driven automation systems.

Design immersive e-learning modules and live workshops to simplify robotic training. Collaborate cross-functionally to create effective learning experiences that enhance user adoption and understanding.

Develop production-grade features for robotic perception and motion using C++. Mentor teammates, resolve issues, and enhance AI-driven vision systems.

The Technical Support Specialist resolves customer issues in robotic vision systems, collaborates with engineers for solutions, and documents processes for efficiency.