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.
• 3+ 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

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.