Full-Time

Manufacturing Bring-Up Engineer

Confirmed live in the last 24 hours

Cerebras

Cerebras

201-500 employees

Develops AI acceleration hardware and software

Data & Analytics
Enterprise Software
AI & Machine Learning

Senior

Sunnyvale, CA, USA

Category
Hardware Engineering
Hardware Validation & Testing
Required Skills
Python
Perl
Requirements
  • BS or MS in EE, ECE, CS or equivalent work experience
  • 5+ years of industry experience in an operations environment
  • Experience in hardware bring-up and the debug of complex systems
  • 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
Responsibilities
  • Own 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
  • 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

Cerebras Systems specializes in accelerating artificial intelligence (AI) processes with its CS-2 system, which is designed to replace traditional clusters of graphics processing units (GPUs) used in AI computations. The CS-2 system simplifies the complexities of parallel programming, distributed training, and cluster management, making AI tasks more efficient. Clients from various sectors, including pharmaceuticals, government research labs, healthcare, finance, and energy, utilize the CS-2 to achieve faster results in critical applications like cancer drug response prediction. Cerebras generates revenue by selling its proprietary hardware and software solutions, including the CS-2 systems and associated cloud services. The company's goal is to streamline AI research and development, enabling clients to reduce costs and improve the speed of AI training and inference.

Company Stage

Series F

Total Funding

$700.4M

Headquarters

Sunnyvale, California

Founded

2016

Growth & Insights
Headcount

6 month growth

6%

1 year growth

16%

2 year growth

-1%
Simplify Jobs

Simplify's Take

What believers are saying

  • Collaboration with Dell expands Cerebras' reach in enterprise generative AI projects.
  • The WSE-3 processor attracts clients seeking cutting-edge AI technology.
  • Cerebras' IPO filing suggests potential for increased capital for R&D and expansion.

What critics are saying

  • Reliance on high-profile clients like GlaxoSmithKline poses a risk if they switch.
  • Competition with Nvidia may lead to aggressive pricing and reduced profit margins.
  • Dependency on Dell's distribution channels could influence Cerebras' product positioning.

What makes Cerebras unique

  • Cerebras' WSE-3 chip has 1.4 trillion transistors, surpassing competitors in AI hardware.
  • The CS-2 system replaces traditional GPU clusters, simplifying AI computations significantly.
  • Cerebras' AI inference service offers unmatched performance and cost efficiency in the market.

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