NoC Performance Architect

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.

  We are seeking a talented Engineer to join our architecture team to develop high-performance simulation models for prototyping ideas, analyze performance, energy, and cost trade-offs for our Network-on-Chip based designs. The role offers unique opportunity to influence the design of our next generate product, and thereby impact cutting-edge AI architectures.

This role is hybrid and can be based out of Austin, TX or Toronto, CA.   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.   Responsibilities:

• Lead the development of the detailed NoC Model
• Evaluate the performance/energy/cost of various architecture options for modern AI workloads (e.g., LLMs, Stable-Diffusion, Vision)
• Maintain an expert-level awareness of technological advancements and performance modeling practices.
• Explore HW/SW Optimizations at Hybrid Network (Scale-Up/Scale-Out) and System Levels

  Experience & Qualifications:

• Master’s/Phd in CS/EE, or a related field, with a solid foundation in Computer Architecture
• 3+ years of experience in performance modeling and simulation of NoC Models
• A strong foundation in packet switched network architecture and algorithms
• Prior experience in building network simulators/models and using open-source NoC simulators (e.g., NS2/3 BookSim, Garnet, etc.)
• Prior experience in evaluating modern AI workload performance
• Proficiency in C++ and Python
• Exceptional problem-solving, analytical, and innovation-driven skills
• Effective communication skills and adeptness at collaborative teamwork

 

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.

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 licensing conditions set  by the U.S. government.

Our engineering positions and certain engineering support positions require access to information, systems, or technologies that are subject to U.S. Export Control laws and regulations, please note that citizenship/permanent residency, asylee and refugee information and/or documentation will be required and considered as Tenstorrent moves through the employment process.

If a U.S. export license is required, employment will not begin until a license with acceptable conditions is granted by the U.S. government.  If a U.S. export license with acceptable conditions is not granted by the U.S. government, then the offer of employment will be rescinded.