Senior Manager – Autonomous Material Robotics Deployment
| Company | General Motors |
|---|---|
| Location | Warren, MI, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Expert or higher |
Requirements
- 10+ years of demonstrated leadership in building and managing high-performing deployment teams for autonomous robotics systems within complex manufacturing environments, driving successful project outcomes.
- Extensive expertise in robotics software and hardware, including advanced knowledge of sensors, actuators, and control systems, enabling the design and implementation of cutting-edge solutions.
- In-depth proficiency in robotics model fitting routines, leveraging diverse data sources to optimize system performance and enhance operational efficiency.
- Strong project management skills with the ability to manage multiple projects simultaneously.
- Bachelor’s degree in Robotics, Mechanical Engineering, Electrical Engineering, or a related field.
Responsibilities
- Lead the deployment of autonomous material handling robots in various manufacturing settings.
- Collaborate with cross-functional teams to design and implement robotics solutions that meet manufacturing requirements.
- Develop and execute project plans, including timelines, budgets, and resource allocation.
- Ensure seamless integration of robotics systems with existing manufacturing processes.
- Conduct testing and validation of robotic systems to ensure optimal performance and reliability.
- Provide technical support and troubleshooting during deployment and post-deployment phases.
- Develop and mentor a team of engineers and technicians, fostering a collaborative and innovative work environment.
- Train and mentor team members on robotics deployment best practices.
- Prioritize deployment opportunities that drive the highest efficiency gains for manufacturing processes.
- Stay updated with the latest advancements in autonomous robotics and material handling technologies.
- Domestic and international travel is required.
Preferred Qualifications
- Advanced degree in the field of Robotics, Engineering, or related disciplines – Master’s or PhD.
- Experience implementing robotics models in real-time simulation environments to support Driver-in-the-Loop and offline simulation work.