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Cerebras Systems

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About

Cerebras Systems is a company that builds wafer-scale AI computing systems. They offer a range of products and solutions, including inference, AI supercomputers, AI model services, and cloud services. Their systems are designed to accelerate deep learning applications, running training and inference workloads much faster than contemporary machines. Cerebras is also involved in developing and training various AI models, many of which are open-source. The company is actively hiring across various roles in engineering, product management, and other departments, primarily in Sunnyvale, CA, Bengaluru, India and Toronto, Canada. They are recognized for their innovative technology and have received several awards.

Platform
Web
Task
ai computing

Features

high-performance computing

large language models

ai model services

ai supercomputers

inference

cloud

processor

system

Job Opportunities

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Cerebras Systems

AI Silicon Circuit Simulation Engineer

Cerebras Systems designs and builds wafer-scale AI supercomputers for faster deep learning training and inference, offering open-source models and cloud services.

engineeringonsiteSunnyvale, USfull-time

Education Requirements:

  • BS or MS in Electrical Engineering or equivalent

Experience Requirements:

  • 10+ years of circuit design and analysis experience

Other Requirements:

  • Strong knowledge of leading edge CMOS FinFet technology and transistor behavior

  • Expert at running circuit level simulations across a variety of design types

  • Expert with Hspice and Finesim type simulation tools

  • Good understanding of techniques for optimizing clock distribution

  • Good understanding of power supply distribution, IR drop problems and how to analyze them

  • Experience running aging simulations & knowledge of NBTI ,PBTI, HCI

  • Good understanding of IO circuits, ESD circuits and their analysis

  • Experience with analyzing power dissipation and making recommendations for optimizations

  • Strong ability in scripting languages like Tcl and Python

  • Demonstrated ability to work with cross functionally to resolve problems

  • Excellent analytical, and problem-solving skills

  • Strong interpersonal skills and a willingness to collaborate effectively are essential qualities for success in any team

  • Extremely self-motivated and eager to solve problems

Responsibilities:

  • circuit design tasks including clock design, power simulations, IO design, ESD, aging simulations, memory evaluations, datapath, and standard cell customizations

  • design and analyze custom circuits

  • circuit analysis of our wafer scale engine

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AI Silicon Design Verification Engineer

Cerebras Systems designs and builds wafer-scale AI supercomputers for faster deep learning training and inference, offering open-source models and cloud services.

Education Requirements:

  • BS or MS in Computer Science or Electrical Engineering

Experience Requirements:

  • 5 years of Design Verification experience

Other Requirements:

  • Great debugging and problem-solving skills

  • Deep knowledge of SystemVerilog testbench language, DPI and UVM

  • Excellent programming skills and knowledge of software engineering practices including object-oriented design

  • Experience developing scalable and portable testbenches and components

  • Experience with verification methodologies and tools such as simulators, waveform viewers, build and run automation, coverage collection, gate level simulations

  • Proficient in a scripting language such as Python or Perl

  • Good interpersonal skills and ability & desire to work as a standout colleague are a must

  • Extremely self-motivated and eager to solve problems

Responsibilities:

  • Work with RTL designers and software engineers to ensure a high-quality design that works first silicon

  • Develop detailed test and coverage plans based on the micro-architecture

  • Create verification methodologies and reusable environments, including components such as stimulus, checkers, assertions, and coverage

  • Write tests, manage regressions, gather coverage, and debug test failures

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Design Automation Engineer

Cerebras Systems designs and builds wafer-scale AI supercomputers for faster deep learning training and inference, offering open-source models and cloud services.

Education Requirements:

  • BS or MS in Electrical Engineering, Computer Science or similar

Experience Requirements:

  • 10+ years of flow development and or scripting for physical design

Other Requirements:

  • Expert at generating structured placement and routing

  • Expert at characterization automation

  • Expert in scripting languages like Tcl and Python. Ability to develop PD flows, tools and augmentation scripts

  • Experience with the complete physical design flow. Knowledge of Synopsys tool suite is a plus.

  • Good understanding of full chip floorplanning and integration.

  • Good knowledge of server infrastructure and experience with integrating AWS and internal compute resources

  • Demonstrated ability to work with RTL teams to optimize for physical design

  • Excellent analytical, and problem-solving skills

  • Good interpersonal skills and ability & desire to work as a standout colleague are a must.

  • Extremely self-motivated and eager to solve problems

Responsibilities:

  • Physical Design automation

  • projects involving scripted placement, routing, library cell characterization, and providing support for server infrastructure

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