CPU Core Design Verification Testbench Lead

Requirements

• You bring 8+ years in CPU verification, CPU testbench development, or closely related digital design
• You have deep hands-on experience building and owning CPU core-level test benches, not just using existing environments
• You know high-performance out-of-order CPU microarchitecture in depth
• You are comfortable developing testbench infrastructure in CVM methodology, with UVM experience as a strong plus
• You work comfortably across RTL, waveforms, logs, regressions, and cross-functional debug with design, DV, emulation, and post-silicon teams
• You are comfortable using AI-assisted verification workflows to improve debug, stimulus creation, and coverage analysis, while applying strong engineering judgment to validate results
• We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting

• You will own CPU core-level testbench development and verification, shaping how our out-of-order RISC-V CPUs behave in silicon
• Lead hands-on CPU core-level testbench development for high-performance out-of-order RISC-V cores
• Own and evolve CVM-based verification methodology, infrastructure, and reusable testbench components
• Plan and drive functional verification for CPU core features, ISA behavior, and microarchitectural scenarios
• Develop UVM, assembly, C/C++ stimulus, and C++ functional models for RISC-V extensions and un-core components such as APIC and IOMMU
• Debug regressions, close coverage, and improve core, cluster, and chip-level test benches across simulation, emulation, and post-silicon environments
• Develop testbench and tooling infrastructure that combines Python orchestration with specialized AI agents to accelerate triage and root-cause analysis across logs, waveforms, and verification databases

• How Tenstorrent designs and validates high-performance RISC-V CPU cores and clusters
• Techniques for building scalable CPU testbench infrastructure across core, cluster, and chip-level environments
• Ways to apply CVM methodology to complex CPU verification and debug workflows
• Techniques for spanning pre-silicon, emulation, and post-silicon verification with shared stimulus
• How to scale coverage, debug, and infrastructure across multiple CPU programs within Tenstorrent’s broader compute roadmap
• How Tenstorrent applies AI across the DV lifecycle — from test planning and stimulus through regression debug, triage, and coverage analysis — using workflows designed to keep context tight and outputs auditable