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
Task
Features
• high-performance computing
• large language models
• ai model services
• ai supercomputers
• inference
• cloud
• processor
• system
Job Opportunities
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.
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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