Tenstorrent is looking to integrate AI into CPU/SoC design and verification workflows to build real copilots and automation tools that production teams adopt, not just prototypes, thereby transforming how CPUs are designed and verified.
Requirements
- A verification methodology expert with 10+ years in CPU/SoC verification (UVM, formal methods, coverage closure, coherency, power/reset).
- Experienced in shipping AI/ML tools that engineers use in production, with measurable adoption and ROI.
- Deeply skilled in Python, ML frameworks, LLM APIs, and automation infrastructure.
Responsibilities
- Build and deploy AI copilots for verification workflows such as testplan generation, bug triage, formal property development, and debug automation.
- Partner with Synopsys, Cadence, and other EDA vendors to evaluate AI-EDA platforms and shape their roadmaps.
- Define maturity models and track KPIs (engagement, accept rates, efficiency gains) to measure impact.
- Scale verification through coverage-driven methodologies, automation frameworks, and machine-readable spec tooling.
- Lead the integration of AI into CPU/SoC design and verification workflows.
- Define methodologies, partner with EDA vendors, and scale verification infrastructure.
- Drive the forefront of AI-assisted verification in real CPU/SoC production environments.
Other
- This role is remote, based out of the United States.
- We welcome candidates at various experience levels for this role.
- A change agent who can influence adoption, define KPIs, and evangelize AI-driven design practices.
- Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets.
- This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology.
