Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
Tenstorrent is seeking a Principal Engineer to lead the integration of AI into CPU/SoC design and verification workflows. This role is about building real copilots and automation tools that production teams adopt, not just prototypes. You’ll define methodologies, partner with EDA vendors, and scale verification infrastructure to transform how CPUs are designed and verified.
This role is remote, based out of the United States.
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.
Who You Are
- 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.
- A change agent who can influence adoption, define KPIs, and evangelize AI-driven design practices.
What We Need
- 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.
What You Will Learn
- Drive the forefront of AI-assisted verification in real CPU/SoC production environments.
- Gain visibility into and influence the evolution of next-generation AI-EDA platforms.
- Learn to balance tactical verification tasks with long-term methodology and infrastructure innovation.
- Be part of redefining how CPUs are designed, verified, and scaled with AI as a core enabler.
Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.
Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
Top Skills
Similar Jobs
.png)
What you need to know about the Charlotte Tech Scene
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
