AI/Machine Learning CPU Design Verification Engineer (Research Role)

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.

The person coming into this role will play a vital role in advancing the field of design verification engineering by leveraging cutting-edge AI algorithms to supplement traditional constraint random design verification techniques.
As an AI-Enabled Verification Engineer, you will have the advantage of working closely with our experts in AI hardware design, software engineering, and compiler teams to contribute to the next-generation hardware design using AI and machine learning techniques.

Responsibilities

• As a key member of our team, you will focus on developing an AI system that generates assembly tests, optimizes simulation coverage, and utilizes advanced performance probes and visualization techniques.
• You will also be responsible for correlating test sequences, automating log file analysis, and efficiently triaging post-SI scan data. In collaboration with our internal cross-functional teams, you will have the opportunity to host ChatGPT/BERT on our secure Tenstorrent computing cloud. This will provide you with a confidential and robust environment to perform RTL analysis, documentation, and area/timing analysis.
• You are expected to conduct innovative research in CPU design verification using AI and machine learning, independently develop and implement advanced verification techniques, utilize object-oriented programming in Python or C++ to build scalable verification frameworks, apply web programming skills to develop interactive verification tools and dashboards, work with SQL databases for managing and analyzing data, stay updated with advancements in AI and machine learning relevant to CPU design verification and document research findings, processes, results, and recommendations.
• To excel in this role, you should possess a strong background in AI algorithms, deep learning, reinforcement learning, RISC-V specifications, simulation methodologies, and performance analysis. Proficiency in programming and problem-solving is crucial for success.

Experience & Qualifications

• Bachelor's or Master's degree in Electrical Engineering, Computer Science, or a related field.
• Proficiency in AI, machine learning concepts, and frameworks (e.g., TensorFlow, PyTorch).
• Strong programming skills in Python or C++ for scalable verification frameworks.
• Experience in CPU design verification, industry-standard methodologies, and statistical analysis.
• Web programming skills (HTML, CSS, JavaScript) and familiarity with SQL databases.
• Knowledge of hardware building aspects and cloud services for efficient verification.
• Excellent problem-solving, communication, and collaboration skills.
• Independent, self-motivated, responsible, and able to meet deadlines.
• Innovative mindset with a passion for proposing novel solutions to complex problems.

Location: Santa Clara or Austin
Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
Due to U.S. Export Control laws and regulations, Tenstorrent is required to ensure compliance with licensing regulations when transferring technology to nationals of certain countries that have been sanctioned by the U.S. government.
As this position will have direct and/or indirect access to information, systems, or technologies that are subject to U.S. Export Control laws and regulations, please note that citizenship/permanent residency information and/or documentation will be required and considered as Tenstorrent moves through the employment process.