
Posted 7 hours ago
Design Verification Engineer
Cerebras SystemsDesign Verification Engineer
Requirements
3+ years Design Verification experience, Deep knowledge of SystemVerilog, DPI, and UVM, Proficiency in Python or Perl, Experience with scalable testbenches, Strong debugging and problem-solving skills
Skills
SystemVerilogUVMPython
About the role
Responsibilities
- 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 enhance verification infrastructure and flows to improve efficiency and quality.
- Work with architects, designers, post-silicon, and software engineers to ensure high-quality silicon design.
Requirements
- 3+ years of Design Verification experience.
- Deep knowledge of SystemVerilog testbench, DPI, and UVM.
- Proficiency in scripting languages such as Python or Perl.
- Experience developing scalable and portable testbenches and components.
- Strong debugging and problem-solving skills.
- Excellent programming skills and knowledge of software engineering practices, including object-oriented design.
- Experience with verification tools such as simulators, waveform viewers, and coverage collection.
Preferred Qualifications
- Knowledge of pipelined processor architecture.
- BS or MS in Computer Science or Electrical Engineering.
About the Company
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, delivering industry-leading training and inference speeds. Cerebras empowers machine learning users to run large-scale ML applications effortlessly, transforming the user experience for top model labs and global enterprises.
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Cerebras Systems · Bengaluru
