AI Robotic systems, Design, Email-Marketing, Logistic Regression, Project management, Writing
This position will be assigned to our company's Engineering Project Management Team (EPM).
The EPM team will be responsible for implementing solutions for AGV (automated guided vehicles), which is one of our core businesses. Furthermore, we are not only responsible for AGVs alone, but also for projects involving complete automation using robots.
As a member of the EPM team, you will propose, implement, and project manage a logistics efficiency system that combines Mujin's robot controller and foreign-made AGVs.
Job details
Mandatory requirements
welcome requirements
position attractiveness
Work location
3-8-5 Tatsumi, Koto-ku, Tokyo 135-0053
Nearest station: 7 minutes walk from Tatsumi Station on the Tokyo Metro Yurakucho Line, 10 minutes walk from Shinonome Station on the Rinkai Line
Working hours
・Discretionary labor system: Starts at 8:45, ends at 17:45
・Break time: 60 minutes
Holidays/Vacation
・Complete five-day work week
・Annual paid vacation
・New Year holidays
・Congratulatory and condolence leave
・Nursing care leave
・Maternity leave (with track record of taking/returning)
・Childcare leave (with track record of taking/returning)
・Other holidays according to the company calendar
trial period
・6 months (no change in conditions)
salary
・Annual salary system (determined according to experience and ability)
・Salary revision twice a year
Treatment/benefits
・Free clothing
・Commuting allowance payment
・Various insurance (employment, workers' compensation, health, welfare pension)
・Daily free lunch buffet
・Free vending machine installation (drinks and snacks)
・Special high-quality coffee machine
・Office gym for employees only
・Monthly team dinner support
Mujin offers the complete robotic solution. Our core technology is the Mujin Controller, which manages any robotic application by controlling the movement of any robot arm via artificial intelligence and autonomous motion planning. This allows our end users to define the application and choose the best robot arm for the job.