Manufacturing Bring-up Engineer L2

Posted 27 Days Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
170K-230K Annually
Mid level
Artificial Intelligence • Hardware • Software • Semiconductor
The Role
Support system-level bring-up to configure, test, and validate systems before shipment. Collaborate with ASIC, software, diagnostics, and QA teams to automate and streamline workflows. Troubleshoot cross-domain issues, design tracking processes, report bring-up metrics, and implement software automation to scale manufacturing bring-up operations.
Summary Generated by Built In

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:

  1. Build a breakthrough AI platform beyond the constraints of the GPU.

  2. Publish and open source their cutting-edge AI research.

  3. Work on one of the fastest AI supercomputers in the world.

  4. Enjoy job stability with startup vitality.

  5. 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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Skills Required

  • 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 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
  • Understanding of computer system architecture and hardware components
  • Proficiency in scripting and automation tools for system bringup
  • Excellent problem-solving and communication skills with ability to work collaboratively
  • Very strong coordination and collaboration skills to manage business-critical workflow
  • Familiarity in creating test and software infrastructure at large scale
  • Experience working across global time zones
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The Company
774 Employees
Year Founded: 2015

What We Do

Cerebras Systems develops wafer-scale semiconductor hardware, AI supercomputers, and software/cloud services for training and inference. Its CS-2 and CS-3 systems help organizations build on-premise AI supercomputers, while pay-as-you-go cloud offerings provide developers and enterprises access to its computing platform. The company focuses on making AI training and inference faster and easier for diverse research and production workloads at scale worldwide.

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