logo inner

Staff Engineer, RTL Design, Chiplet

TenstorrentSanta Clara, California, United StatesOnsite

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.
Experienced engineer focused on Microarchitecture and RTL. The person coming into this role will work on the implementation of digital IPs for Tenstorrent’s CPU and AI/ML accelerator chiplets.This role is

Hybrid, based out of Santa Clara,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:


  • RTL design and Microarchitecture of a system management, security sub-systems, fabric, and SoC integration. 
  • RTL coding in Verilog leveraging both industry tools as well as open-source infrastructure
  • Work with design, test and post silicon validation teams for high quality delivery of the security subsystem
  • Evaluate and integrate 3rd party IP components in the design
  • Drive trade-offs for your logic by working closely with architecture, DV and physical design engineers to craft optimal solutions that meet the design goals
  • Deploy innovative techniques for improving power, performance and area of the design, drive experiments with RTL and evaluate synthesis, timing and power results
  • Debug RTL/logic issues across various hierarchies (core, chip) in both pre-silicon and post-silicon environment
  • Enhance RTL design environment, tools and infrastructure

Experience & Qualifications:


  • BS/MS/PhD in EE/ECE/CE/CS with at least 5 years of experience
  • Knowledge of industry standard protocols such as AXI, AHB, APB
  • Expertise in logic design and ability to evaluate functional, performance, timing and power for you design
  • Strong experience with hardware description languages (Verilog, VHDL), simulators (VCS, NC, Verilator), Synthesis and Power tools
  • Expertise in microarchitecture definition and specification development
  • Strong problem solving and debug skills across various levels of design hierarchies

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

Related Sub

This job belongs to these sub. Explore related roles here:
Open source jobs
Your tracker settings

We use cookies and similar methods to recognize visitors and remember their preferences. We also use them to measure ad campaign effectiveness, target ads and analyze site traffic. To learn more about these methods, including how to disable them, view our Cookie Policy or Privacy Policy.

By tapping `Accept`, you consent to the use of these methods by us and third parties. You can always change your tracker preferences by visiting our Cookie Policy.

logo innerThatStartupJob
Discover the best startup and their job positions, all in one place.
Copyright © 2025