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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.
Job Responsibility:
Work with architects, designers, post-silicon, and software engineers, to ensure a high-quality design that works for silicon
Develop and implement verification strategies, detailed tests, and coverage plans based on micro-architecture
Create verification methodologies and reusable environments, including components such as stimulus, checkers, assertions, and coverage
Implement tests, manage regressions, gather coverage, and debug test failures
Collaborate with cross-functional teams, including architecture, RTL design, physical design, firmware, and validation
Analyze and debug complex issues across simulation, emulation, and silicon bring-up phases
Continuously enhances verification infrastructure and flows to improve efficiency and quality
Contribute to the evolution of the overall verification methodology and best practices across the organization
Requirements:
Advanced debugging and problem-solving skills
Deep knowledge of SystemVerilog testbench, 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, and gate-level simulations
Proficient in scripting languages such as Python or Perl
Good interpersonal skills and the ability to work as a standout colleague are a must
Extremely self-motivated and eager to solve problems
3+ years of Design Verification experience
Nice to have:
Knowledge of pipelined processor architecture
BS or MS in Computer Science or Electrical Engineering
3+ years of hands-on Design Verification experience
What we offer:
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