Cerebras powers the world's fastest AI inference on the biggest wafer chip. Cerebras CS-4 delivers up to 30x faster inference than GPUs.
About the role
Work with architects, designers, post silicon and software engineers to ensure a high-quality design that works first silicon. Develop and implement verification strategies, detailed tests and coverage plans based on micro-architecture.
What they're looking for
- Great 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
More about this role
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.
Work with architects, designers, post silicon and software engineers to ensure a high-quality design that works first 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...
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