System Reliability Test Engineer
Symbotic- Full Time
- Junior (1 to 2 years)
Candidates should possess strong Linux experience, demonstrate expertise in setting up cloud infrastructure, and exhibit robust networking skills encompassing both cloud and on-prem environments. Proficiency in Python is desired, along with a foundational understanding of power systems and experience with PLC and automation equipment, as well as robotics hardware experience.
As a Site Reliability Engineer (Robotics) at Tutor Intelligence, you will assist in scaling the deployment of smart robot systems across North America, ensuring their robust configuration and efficient utilization of both local bare-metal and cloud-based compute components. You will contribute to integrating these systems seamlessly into diverse networking environments, including those with protections and mobile networks, while also supporting Tutor’s customer-facing IT and setup guidance, and ensuring the overall operational stability of the internet-enabled robot network.
Leases AI-powered robots for manufacturing
Tutor Intelligence specializes in leasing AI-powered robots for manufacturing and packaging tasks to factories in the United States. Their robots can perform various essential functions such as conveyor loading, end-of-line packing, kitting, palletization, and depalletization. The leasing model operates on a 12-hour flat rate, allowing factories to use the robots without the financial burden of purchasing them outright. This flexibility enables clients to adjust their automation needs based on demand, making it particularly appealing to small and medium-sized enterprises as well as larger facilities. Tutor Intelligence's hybrid human-artificial intelligence engine allows for rapid deployment of robots, reducing setup time from months to just minutes. The company's goal is to enhance operational efficiency in the industrial automation sector while providing cost-effective solutions for factories.