2 часа назад
Design Verification Engineer (AI)
250 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Design Verification Engineer (AI) (SystemVerilog/UVM): Developing verification strategies, scalable testbenches, and coverage plans for Cerebras AI chip architecture with an accent on first-silicon quality, reusable verification environments, and cross-functional hardware validation. Focus on debugging complex issues across simulation, emulation, and silicon bring-up while improving verification infrastructure and methodology.
Location: On-site at the Sunnyvale office, Sunnyvale, California, United States
Salary: $250,000–$300,000 annually, plus potential bonus and equity
Company
Systems develops large-scale AI chip and computing architectures designed to accelerate model training and inference.
What you will do
- Partner with architects, designers, post-silicon, software, firmware, physical design, and validation engineers to deliver designs that work on first silicon.
- Develop verification strategies, detailed tests, coverage plans, and reusable verification environments based on microarchitecture.
- Build stimulus, checkers, assertions, and coverage components using SystemVerilog, DPI, and UVM.
- Implement tests, manage regressions, collect coverage, and debug failures across simulation, emulation, and silicon bring-up.
- Improve verification infrastructure, flows, methodologies, and organization-wide best practices.
Requirements
- 10+ years of design verification experience, including substantial hands-on work.
- Deep knowledge of SystemVerilog testbenches, DPI, and UVM.
- Strong programming skills, object-oriented design knowledge, and software engineering practices.
- Experience developing scalable, portable testbenches and verification components.
- Experience with simulators, waveform viewers, build and run automation, coverage collection, regressions, and gate-level simulations.
- Proficiency in Python or Perl, with strong debugging, problem-solving, collaboration, and self-motivation skills.
Nice to have
- Knowledge of pipelined processor architecture.
- BS or MS in Computer Science or Electrical Engineering.
Culture & Benefits
- Work on a large-scale AI platform designed beyond conventional GPU constraints.
- Opportunities to contribute to cutting-edge AI research, publications, and open-source work.
- Access to work involving one of the fastest AI supercomputers.
- Startup vitality combined with job stability and a non-corporate work culture.
- Inclusive environment focused on learning, growth, and individual contribution.
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