Staff, RTL Engineer

tenstorrent· Security
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About this 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.

Join Tenstorrent and help build the next generation of AI and CPU hardware. You'll drive microarchitecture and RTL development for cutting-edge digital IPs powering industry-leading AI/ML accelerators and CPUs, working across design, debug, test, and silicon bring-up. This is a unique opportunity to shape groundbreaking hardware from concept to production while collaborating with some of the industry's top engineers.

This role is remote, based out of North America or Taiwan.

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.

 

Who You Are

  • Experienced RTL and microarchitecture engineer with a strong background in complex ASIC, SoC, or chiplet development.
  • Hands-on experience with Verilog-based design, industry-standard simulation and synthesis tools, and complex digital subsystem integration.
  • Skilled at solving challenging logic, debug, and system-level design problems across pre-silicon and post-silicon environments.
  • Effective collaborator who works closely with architecture, verification, physical design, DFx, and silicon validation teams.
  • Bonus experience with open-source hardware projects, DFT/DFD methodologies, scan test, MBIST, JTAG, SoC debug architectures, or RISC-V CPU cores.
  • You have a Bachelor’s, Master’s, or PhD in Electrical Engineering, Computer Engineering, or Computer Science, and 5+ years of relevant industry experience.

 

What We Need

  • Experience designing and implementing RTL for complex digital subsystems, fabrics, debug and test subsystems, or SoC-level integrations.
  • Strong understanding of microarchitecture development and industry-standard protocols such as AXI, AHB, APB, I3C, and SPI.
  • Ability to evaluate and optimize power, performance, and area (PPA) tradeoffs while delivering high-quality RTL.
  • Proven debugging skills across both pre-silicon and post-silicon environments, including silicon bring-up and root-cause analysis.
  • Familiarity with DFT/DFD concepts, including scan test, MBIST, JTAG, ATPG, or chip-level debug architectures, is highly valued.

 

What You Will Learn

  • How next-generation CPU and AI accelerator chiplets are architected, integrated, tested, and brought to production silicon.
  • Deep exposure to system management, security, debug, test, and large-scale SoC integration challenges.
  • Opportunities to collaborate with experts across architecture, design verification, DFx, physical design, and silicon validation teams.
  • Hands-on experience with advanced chiplet architectures, debug infrastructures, and the full silicon development lifecycle.
  • Exposure to leading-edge AI hardware development and emerging open-source technologies, including RISC-V ecosystems.

 

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.

Frequently Asked Questions

Is the salary disclosed for the Staff, RTL Engineer position at tenstorrent?
The salary for this Staff, RTL Engineer role at tenstorrent is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Staff, RTL Engineer position at tenstorrent located?
This Staff, RTL Engineer role at tenstorrent is based in United States; 新北市, New Taipei City, Taiwan. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Which team or department does the Staff, RTL Engineer at tenstorrent belong to?
This Staff, RTL Engineer position is part of the Security department at tenstorrent. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Staff, RTL Engineer position at tenstorrent?
Click the "Apply Now" button on this page. You will be redirected to tenstorrent's official application portal hosted on greenhouse where you can submit your application directly.
When was the Staff, RTL Engineer job at tenstorrent posted?
This Staff, RTL Engineer position at tenstorrent was posted on May 22, 2026. Apply as soon as possible — early applications are often reviewed first.
Staff, RTL Engineer
tenstorrent
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