Manufacturing Automation Engineer

Sur siteÉtats-Unis

Sunnyvale, California, États-Unis

PythonSQLC#

Job Summary

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.

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
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.
Why Join Cerebras
People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
Build a breakthrough AI platform beyond the constraints of the GPU.
Publish and open source their cutting-edge AI research.
Work on one of the fastest AI supercomputers in the world.
Enjoy job stability with startup vitality.
Our simple, non-corporate work culture that respects individual beliefs.
Find out more about what it's like to work at Cerebras here!
Apply today and become part of the forefront of groundbreaking advancements in AI!
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.
This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

Langues

Manufacturing Automation Engineer

Job Summary

Key Responsibilities

Required Qualifications

Preferred Qualifications

Success in this role will be measured by

Continuer à explorer

Ton prochain jobest déjà à ta recherche.

Plus d’opportunités avec un seul profil

Analyste Clinique Epic IV (Beacon - Certification requise)

Directeur, Enterprise Resource Planning (ERP) - PeopleSoft

Ingénieur logiciel système Machine Learning