Manufacturing Automation Engineer

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.

This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

Job Summary

We are seeking a skilled and motivated Manufacturing Automation Engineer to design, implement, maintain, and optimize automated manufacturing assembly and test systems. The ideal candidate will collaborate with cross-functional teams to improve production efficiency, enhance product quality, reduce downtime, and support continuous improvement initiatives through advanced automation technologies.

Key Responsibilities

• Design, develop, and implement automation solutions for manufacturing processes.

• Program, troubleshoot, and optimize PLCs, HMIs, SCADA systems, robotics, and industrial control systems.

• Support the installation, commissioning, and validation of new production equipment.

• Analyze manufacturing processes and identify opportunities to improve productivity, quality, safety, and cost.

• Perform root cause analysis of equipment failures and implement corrective actions.

• Develop and maintain 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 from concept through implementation.

• Ensure compliance with safety regulations, industry standards, and company policies.

• Monitor equipment performance using data analysis and recommend continuous improvement initiatives.

• Train production and maintenance personnel on new automation systems and equipment.

• Maintain spare parts inventories and support preventive and predictive maintenance programs.

Required Qualifications

• Bachelor's degree in Electrical Engineering, Mechanical Engineering, Mechatronics Engineering, Automation Engineering, or a related technical field.

• 9+ years of experience in manufacturing automation, industrial controls, or process engineering.