Manufacturing Bring-up Engineer L2
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.
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
Skills & Qualifications
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
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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