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Sr. Principal RTL Design Engineer


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 highly skilled and experienced RTL Design Engineer to join our dynamic team. In this role, you will be responsible for driving architectural and micro-architectural improvements to our AI IP, identifying performance bottlenecks, and proposing innovative solutions to optimize our designs.This role ishybrid, based out of Toronto, ON; Austin, TX; or Santa Clara, CA.

Responsibilities:


  • Implement parameterized RTL designs using micro-architecture specs
  • Conduct experiments with RTL and evaluate synthesis, timing, and power results.
  • Enhance RTL design environment, tools, and infrastructure.
  • Write, analyze and optimize low-level kernels for AI workloads using Tensix ISA features
  • Work with architects and other designers to improve the PPA of designs

Experience & Qualifications:


  • Bachelor of Science degree in EE/ECE/CE/CS or related field required; MS or PhD highly desired
  • Knowledge of micro-processor architecture
  • Strong background in RTL design of power and area-efficient designs
  • Knowledge of logic design principles along with timing and power implications
  • Experience with python and C/C++ programming
  • Experience with writing and debugging low-level firmware and kernels
  • Proficiency in RTL design and converging high-performance designs for performance, power, area, and frequency

Highly Desired:

  • Understanding or prior experience with floating-point arithmetic and formats
  • Expertise in low-power micro-architecture techniques
  • Familiarity with physical design issues in RTL design and micro-architecture specification
  • Experience with arithmetic circuit design and optimization

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.

Life at Tenstorrent

At Tenstorrent, we are creating the next generation of high-performance processor ASICs, specifically engineered for deep learning and smart hardware. Our processor is designed to excel at both learning and inference, while being software-programmable to support future innovations in the field of machine learning. The processor's architecture easily scales from battery-powered IoT devices to large cloud servers, and surpasses today's solutions by several orders of magnitude in raw performance and energy efficiency. Our team, made up of alumni from hardware industry leaders like NVIDIA and AMD, is committed to providing the core hardware necessary to increase the pace of deep learning research and enable smart devices to live untethered from the power grid and the Internet. We are based in Toronto and proudly backed by Real Ventures, the Canadian VC of the Year two years running.
Thrive Here & What We Value* Innovation, collaboration, problem-solving* Competitive compensation package* Diverse team with varying seniorities* Hybrid work arrangement (Santa Clara, CA; Austin, TX)* Equal opportunity employer* Cutting-edge AI technology leadership* Passionate technologists in diverse teams* High performance RISCV CPU development
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