Design Verification Engineer

Job Title

Design Verification Engineer

Role Summary

Lead and execute functional verification for complex AI ASIC designs. Work with architects, RTL designers, post-silicon validation, and software teams to ensure designs meet silicon quality and delivery goals.

Role is based in Sunnyvale, CA; remote candidates may be considered.

Experience Level

Mid-level — requires at least 3 years of design verification experience.

Responsibilities

Ownership of verification strategy, implementation, and delivery for micro-architectural blocks and chip-level features.

• Define and implement verification strategies, tests, and coverage plans from micro-architecture.
• Develop reusable verification environments and components (stimulus, checkers, assertions, coverage).
• Create and run regressions, collect coverage, and investigate and debug failures.
• Collaborate with architecture, RTL, physical design, firmware, and validation teams.
• Analyze and debug issues across simulation, emulation, and silicon bring-up.
• Improve verification infrastructure, automation, and methodology across the organization.

Requirements

Concise list of required skills and preferred additions.

• Must-have: 3+ years of hands-on design verification experience.
• Must-have: Deep knowledge of SystemVerilog testbench development, UVM, and DPI.
• Must-have: Experience with simulators, waveform viewers, build/run automation, coverage collection, and gate-level simulation.
• Must-have: Strong software engineering and programming skills; proficient in scripting (Python or Perl).
• Must-have: Advanced debugging and problem-solving skills across RTL, simulation, emulation, and silicon.
• Nice-to-have: Knowledge of pipelined processor architecture.

Education Requirements

BS or MS in Computer Science or Electrical Engineering.

About the Company

Company: Cerebras

Headquarters: Sunnyvale, CA, USA

Developer of wafer-scale AI accelerators, Cerebras designs the Wafer Scale Engine (WSE)—one of the world’s largest AI chips—to deliver high-speed training and inference solutions for model labs, enterprises, and AI-native startups.