Manufacturing Automation Engineer

About the role

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.
• Experience programming PLCs (Allen-Bradley, Siemens, Mitsubishi, Omron, or similar).
• Knowledge of industrial communication protocols such as Ethernet/IP, Modbus, Profinet, or DeviceNet.
• Experience with robotics integration and automated material handling systems.
• Strong understanding of electrical controls, sensors, actuators, servo systems, and VFDs.
• Ability to read and interpret electrical schematics, P&IDs, and mechanical drawings.
• Strong troubleshooting, analytical, and problem-solving skills.
• Excellent communication and project management abilities.

Preferred Qualifications

• Experience with Industry 4.0 technologies, IIoT, and data analytics.
• Knowledge of vision inspection systems and machine safety standards.
• Experience with SQL databases, Python, C#, or other programming languages.
• Familiarity with Lean Manufacturing, Six Sigma, and continuous improvement methodologies.
• Professional certifications in automation or controls engineering are a plus.

Key Competencies

• Technical problem-solving
• Project management
• Process optimization
• Continuous improvement mindset
• Cross-functional collaboration
• Attention to detail
• Time management
• Safety-first approach

Working Conditions

• Manufacturing plant environment with exposure to industrial machinery.
• Travel to contract manufacturing sites and suppliers
• May require off-shift or weekend support during equipment installations or production emergencies.

Performance Metrics

Success in this role will be measured by

• Improvement in overall equipment effectiveness (OEE)
• Increased production efficiency
• Successful implementation of automation projects
• Reduction in manufacturing defects
• Compliance with safety and quality standards
• Achievement of project timelines and budgets

Pay and benefits

The salary range for this position is $180,000 - $220,000 annually. Actual compensation will be determined based on factors such as experience, skills, qualifications, and location.