AI Silicon Design Verification Engineer

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. Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. 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. Skills and Qualifications 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 5 years of Design Verification experience. Desired Skills and Qualifications Knowledge of pipelined processor architecture. Experience in writing reference models in C++. BS or MS in Computer Science or Electrical Engineering.

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. Cerebras' current customers include global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.