Tenstorrent

Design Verification Software Intern

Tenstorrent · North America
North America $104K–$145K Intern Posted 2026-07-14
Salary
$104K–$145K
Type
Internship
Experience
0-1 yr

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.

This role entails design and development of scalable infrastructure and software for the verification of high performance CPUs going into industry leading AI/ML architecture. The successful candidate will be responsible for development and automation of many aspects of the verification environment. The person coming into this role will have opportunities such as: writing low-level RISC-V assembly, building complex low-latency multithreaded testbenches, database programming, software testing and release automation, verilog coding and optimization of CPU components, and contributing to open source projects in the RISC-V ecosystem.

This role is on site, based out of Santa Clara, CA or Austin, TX.

This is for our Fall 2026 Semester

Responsibilities:

  • Build software and scripts for high performance simulation and emulation of CPUs
  • Improve verilog for optimal simulation performance and fpga emulation synthesis
  • Maintain and enhance the Git infrastructure to support CI/CD, nightly regressions across multiple development platforms
  • Build software tools and scripts for design flow automation

Experience & Qualifications:

  • Currently working towards a Bachelors program
  • Strong programming skills. C++, Python, SystemVerilog preferred.
  • Solid experience with the Linux operating system
  • Experience with version control. Git preferred.
  • Interest in CPUs, hardware design, and/or programming
  • Willing to learn and adapt

Compensation for all interns at Tenstorrent ranges from $50/hr - $70/hr 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.

PythonC++
$60K — 10th pctl $230K — 90th pctl
This role’s midpoint $124K vs. market median $125K for Operations roles
~median
market rate
Based on 18,000+ Operations roles with disclosed salary ranges tracked on NewJob.
Tenstorrent

Tenstorrent

AI Hardware · Series D · Santa Clara, USA

Stage & Valuation
Series D · $2.6B
Key Investors
Samsung Securities, AFW Partners
Open roles on NewJob
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Engineering (79) · Operations (21) · BizOps (7)
Tenstorrent designs and manufactures AI hardware, building next-generation computers and chips for data processing and machine learning tasks. The company focuses on creating programmable, high-performance computing solutions for artificial intelligence applications.
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