Manufacturing Bring-up Engineer L2

About the role

We are seeking a highly skilled and motivated Manufacturing Bring-up Engineer to join our team. As the Manufacturing Bring-up Engineer you will support our system level bring-up process execution, implementation, and evolution in the manufacturing pipeline. This is a high visibility role that requires strong technical expertise, coordination, and collaboration to deliver our product from manufacturing to the customer.

Responsibilities

• Support the Cerebras manufacturing bring-up process execution to configure, test, and validate system performance prior to customer shipment
• Collaborate cross-functionally with Asic, SW, Diagnostics, and QA teams to further automate and streamline the workflow for optimal manufacturing efficiency
• Troubleshoot and resolve technical issues during system bring-up across Asic, SW, and QA domains
• Design and implement efficient processes to manage and track system bring-up status and progress
• Track and report on critical bring-up metrics to drive continuous improvement
• Implement further SW automation and efficiencies to effectively scale the manufacturing bring-up process in support of the manufacturing roadmap

Requirements

• BS or MS in EE, ECE, CS or equivalent work experience
• 3+ years of industry experience in an operations environment
• Experience in hardware bring-up and the debug of complex systems
• Working knowledge and experience in Asic bringup and test processes
• Working knowledge of scripting in languages such as Python and/or Perl
• Proven experience in system bring-up and validation of complex computer systems or equivalent technologies
• Understanding of computer system architecture and hardware components
• Proficiency in scripting and automation tools for system bringup
• Excellent problem-solving and communication skills with the ability to work collaboratively in a fast-paced environment
• Very strong coordination and collaboration skills to manage a business-critical workflow directly in support of customer demand
• Preferred:
• Familiarity in creating test and s/w infrastructure at large scale
• Working across global time zones
• Location
• Bangalore, India/Toronto, Canada/ Sunnyvale, California.
• The base salary range for this position is $170,000 to $230,000 annually. Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.
• Why Join 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.
• Read our blog: Five Reasons to Join Cerebras in 2026.
• Apply today and become part of the forefront of groundbreaking advancements in AI!
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Benefits

Additional Information

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top 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. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, 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.

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