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 …
Skills: PLC Programming, HMI, SCADA, Robotics Integration, Industrial Control Systems
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 …
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 …
Skills: Capacity Planning, Technical Program Management, Cloud Infrastructure, ML Serving, SQL
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 …
Skills: Python, C++, Go, Automation Frameworks, ML Testing
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 …
Skills: Data Center Operations, MEP Systems, Infrastructure Deployment, Facility Management, Liquid Cooling
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 …
Skills: Data Center Operations, MEP Systems, Facility Management, Infrastructure Deployment, Team Leadership
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 …
Skills: Network Architecture, Cloud Networking, K8s Service Mesh, BGP, EVPN/VXLAN
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 …
Skills: Firewall Policy Design, Infrastructure as Code, Terraform, Ansible, Python
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 …
Skills: Linux Kernel, Firmware, Secure Boot, C, Rust
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 …
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 …
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 …
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 …
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 …
Skills: Physical Design, 3D Integration, Physical Verification, Power Performance Area Optimization, Synopsys Tool Suite
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 …
Senior Front End Design Engineer (Microarchitecture)
Binangonan, Rizal, Philippines · Hybrid
$250k–$300k/yr
Senior+$3.7B raised
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 …
Skills: RTL Design, Microarchitecture, Synthesis, Front End Chip Integration, TCP/IP
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 …
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 …
Director / Senior Director, Critical Facility Operations
Binangonan, Rizal, Philippines · On-site
Senior+$3.7B raised
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 …
Skills: Critical Facility Operations, Data Center Operations, Vendor Management, Incident Response, Root Cause Analysis
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 …
Skills: Data Center Capacity Delivery, Program Management, Infrastructure Planning, Electrical Systems, Mechanical Systems
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Full-time
bachelor degree, professional certificate
Posted 43d ago
~40 hrs/week
Responsibilities
Design, implement, and optimize automated manufacturing assembly and test systems to improve production efficiency and product quality. This includes programming PLCs, managing capital automation projects, and performing root cause analysis on equipment failures.
Requirements
Requires a Bachelor's degree in Electrical, Mechanical, Mechatronics, or Automation Engineering with over 3 years of experience in industrial controls. Proficiency in PLC programming and knowledge of industrial communication protocols and robotics integration are essential.
Full job description
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
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.
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Cerebras Systems is the world's fastest AI inference. We are powering the future of generative AI. We’re a team of pioneering computer architects, deep learning researchers, and engineers building a new class of AI supercomputers from the ground up.
Our flagship system, Cerebras CS-3, is powered by the Wafer Scale Engine 3—the world’s largest and fastest AI processor. CS-3s are effortlessly clustered to create the largest AI supercomputers on Earth, while abstracting away the complexity of traditional distributed computing.
From sub-second inference speeds to breakthrough training performance, Cerebras makes it easier to build and deploy state-of-the-art AI—from proprietary enterprise models to open-source projects downloaded millions of times.
Here’s what makes our platform different:
🔦 Sub-second reasoning – Instant intelligence and real-time responsiveness, even at massive scale
⚡ Blazing-fast inference – Up to 100x performance gains over traditional AI infrastructure
🧠 Agentic AI in action – Models that can plan, act, and adapt autonomously
🌍 Scalable infrastructure – Built to move from prototype to global deployment without friction
Cerebras solutions are available in the Cerebras Cloud or on-prem, serving leading enterprises, research labs, and government agencies worldwide.
👉 Learn more: www.cerebras.ai
Join us: https://cerebras.net/careers/
Offices: 1237 E Arques Ave, Sunnyvale, California 94085, US · 150 King St W, Toronto, Ontario M5H 1J9, CA · Tokyo, JP · Bangalore, IN
artificial intelligencedeep learningnatural language processinginferencemachine learningllmAIenterprise AIand fast inferenceSemiconductor
Cerebras Systems is the world's fastest AI inference. We are powering the future of generative AI. We’re a team of pioneering computer architects, deep learning researchers, and engineers building a new class of AI supercomputers from the ground up.
Our flagship system, Cerebras CS-3, is powered by the Wafer Scale Engine 3—the world’s largest and fastest AI processor. CS-3s are effortlessly clustered to create the largest AI supercomputers on Earth, while abstracting away the complexity of traditional distributed computing.
From sub-second inference speeds to breakthrough training performance, Cerebras makes it easier to build and deploy state-of-the-art AI—from proprietary enterprise models to open-source projects downloaded millions of times.
Here’s what makes our platform different:
🔦 Sub-second reasoning – Instant intelligence and real-time responsiveness, even at massive scale
⚡ Blazing-fast inference – Up to 100x performance gains over traditional AI infrastructure
🧠 Agentic AI in action – Models that can plan, act, and adapt autonomously
🌍 Scalable infrastructure – Built to move from prototype to global deployment without friction
Cerebras solutions are available in the Cerebras Cloud or on-prem, serving leading enterprises, research labs, and government agencies worldwide.
👉 Learn more: www.cerebras.ai
Join us: https://cerebras.net/careers/
Offices: 1237 E Arques Ave, Sunnyvale, California 94085, US · 150 King St W, Toronto, Ontario M5H 1J9, CA · Tokyo, JP · Bangalore, IN
artificial intelligencedeep learningnatural language processinginferencemachine learningllmAIenterprise AIand fast inferenceSemiconductor