Manufacturing Automation Engineer
Cerebras builds wafer-scale AI computing systems and a cloud inference platform for training, fine-tuning, and serving AI models.
About Cerebras Systems, Inc.
Cerebras Systems is an AI-infrastructure company founded in 2015. It sells rack-scale wafer-scale computing systems and provides cloud-based, API-accessible AI inference alongside on-premises deployments.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design and implement manufacturing automation solutions; program, troubleshoot, and optimize industrial control systems; and support new equipment installation and validation. You will analyze processes, resolve equipment failures, maintain technical documentation, lead automation projects, train personnel, and improve equipment performance.
Requirements
- Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Mechatronics Engineering, Automation Engineering, or a related technical field
- 3+ years of experience in manufacturing automation, industrial controls, or process engineering
- Experience programming PLCs
- Knowledge of Ethernet/IP, Modbus, Profinet, or DeviceNet
- Experience with robotics integration and automated material-handling systems
- Understanding of electrical controls, sensors, actuators, servo systems, and VFDs
- Ability to read electrical schematics, P&IDs, and mechanical drawings
- Project management abilities
Responsibilities
- Design, develop, and implement manufacturing automation solutions
- Program, troubleshoot, and optimize PLCs, HMIs, SCADA systems, robotics, and industrial control systems
- Support installation, commissioning, and validation of new production equipment
- Analyze manufacturing processes and improve productivity, quality, safety, and cost
- Perform root-cause analysis of equipment failures and implement corrective actions
- Develop electrical schematics, control-system documentation, and standard operating procedures
- Collaborate with production, maintenance, quality, and engineering teams to resolve technical issues
- Lead or support capital automation projects
- Monitor equipment performance and recommend continuous improvements
- Train production and maintenance personnel on automation systems and equipment
- Maintain spare-parts inventory and support preventive and predictive maintenance