CPU Architect, Vector

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Hiring Remotely in United States
Remote
Hardware • Manufacturing
The 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.

We are seeking an experienced CPU Architect with a strong focus on Vector architecture to join our team. The successful candidate will lead the architecture and performance validation of RISC-V CPUs, ensuring that designs meet and exceed specifications. This is a high-impact role that involves collaboration with cross-functional teams, including design, verification, and physical design, to guarantee optimal device performance from pre-silicon to post-silicon phases.The ideal candidate is a seasoned professional with deep expertise in CPU architecture, advanced validation methodologies, and performance optimization strategies. They should be passionate about pushing the boundaries of CPU performance and well-versed in industry trends.

This role is Remote or in one of our offices, based out of The United States.


Responsibilities:

  • Write vector microbenchmarks to create power viruses and test vector performance on current and future CPU microarchitectures 
  • Work with SW & compiler team on analyzing and optimizing vector compilation and performance on multiple important workloads
  • Participate in the RISCV International workgroups related to vector specifications as a representative of Tenstorrent to give feedback on new vector instructions
  • Explore hardware and software co-optimization opportunities to drive system performance improvements.
  • Propose PPA optimizations for the current vector microarchitecture, including changes to load/store microarchitecture and instruction cracking
  • Define and enhance methodologies for pre-silicon and post-silicon validation of high-complexity System-on-Chip (SoC) designs.
  • Innovate techniques for performance validation, ensuring that products meet and exceed specification requirements.
  • Work closely with architects, hardware engineers, and microcode (ucode) engineers to understand and implement new CPU features.
  • Analyze SoC design features to assess their performance impact and identify optimization opportunities.
  • Investigate key workloads, pinpoint bottlenecks, and prototype solutions to improve performance.
  • Design and maintain the silicon validation architecture roadmap for next-generation product introductions.
  • Define validation requirements in collaboration with cross-functional teams, ensuring compliance throughout the design lifecycle.
  • Optimize silicon validation architectures for performance, power consumption, and area efficiency.
  • Develop and maintain complex models and simulations of silicon devices using advanced tools.

Experience & Qualifications:

  • 7+ years of experience in silicon performance validation or CPU architecture.
  • Master’s degree in Computer Engineering, Computer Science, or a related field (or equivalent experience).
  • Strong expertise in CPU performance analysis, silicon validation, and computer architecture, with at least 5 years focused on performance validation.
  • Proficiency in pre-silicon performance models, RTL, emulation, and FPGA platforms (e.g., Zebu, HAPS).
  • Hands-on experience with tools like Linux perf, ARM DS5, or custom validation tools.
  • Skilled in writing and analyzing microbenchmarks using assembly and/or C/C++.
  • Proficiency in C++, Python, and SystemVerilog for scripting and validation purposes.
  • Familiarity with Continuous Integration (CI) systems and task automation using Python.
  • Demonstrated knowledge of Vector architecture is highly desirable.

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.

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The Company
HQ: Toronto, ON
389 Employees
Year Founded: 2016

What We Do

Tenstorrent is a next-generation computing company that builds computers for AI. Headquartered in Toronto, Canada, with U.S. offices in Austin, Texas, and Silicon Valley, and global offices in Belgrade and Bangalore, Tenstorrent brings together experts in the field of computer architecture, ASIC design, advanced systems, and neural network compilers. Join us: www.tenstorrent.com/careers

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