Hardware Intern - Architecture, AI HW & System on a Chip

Tenstorrent University Jobs; Austin, Boston, Fort Collins, Santa Clara (TX, MA, CO, CA); On-site; USD 69,000 - 96,000; Full time

Job summary

Tenstorrent University Jobs invites a Hardware Intern focused on Architecture, AI HW & SoC. You’ll participate in architecture decisions, performance modeling, and cross-team collaboration across Architecture, RTL, Software, and Physical Design.

Open to BS/MS/PhD candidates in EE/ECE/CE/CS with coursework in digital design and computer architecture. A self-starting, ownership-minded problem-solver with an interest in AI hardware is ideal. On-site postings in multiple US locations.

Qualifications

• Pursuing BS/MS/PhD in EE/ECE/CE/CS with coursework in digital design.
• Experience in computer architecture and performance modeling.
• Self-motivated with ownership and problem-solving mindset, interest in AI hardware.

Responsibilities

• Assist in ASIC/SoC architecture discussions and design tradeoffs.
• Contribute to RTL verification, simulations, and performance analysis.
• Collaborate with Architecture, RTL, Software, and PD teams.

Skills

Digital design

Computer architecture

Performance modeling

Self-starter

AI hardware interest

Education

BS/MS/PhD in EE/ECE/CE/CS

Tools

Python

PERL

tcl

C/C++

Architectural simulators

Job description

Hardware Intern - Architecture, AI HW & System on a Chip

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.

Overview: Before a single transistor gets placed, someone has to decide what the chip should actually be and ensure it functions to specs. This team makes those calls including System on a Chip (SoC) -level architecture, fabric/interconnect design, verification and not just core compute.

What you might work on: This posting spans multiple teams within Hardware Architecture & AI Hardware and SoC . One application, one recruiter screen - then we match you to the specific team and location that fits best. What each team does:

• Architecture: We define and evaluate the system, CPU, memory, fabric, and chiplet-level decisions that shape future products. We analyze workloads, performance, power, and system requirements, develop architectural models, do tradeoff analyses, and specifications for implementation.
• AI Hardware: We design and develop the core AI accelerator IP, including compute, data movement, and other specialized hardware blocks that enable high-performance AI workloads. We take these IPs from requirements through RTL design, verification, and delivery for SoC integration.
• SOC : Our team is where everything comes together. We design and verify the integration of all subsystems and the final pieces that allow the chip to interact with the outside world; scaleout, memory and on-chip system management and security. We validate cross functional and performance requirements, and ultimately take the design to silicon.

This role is on-site, based out of Boston, MA or Austin, TX or Fort Collins, CO or Santa Clara, CA.

Who You Are

• Currently pursuing a BS, MS, or PhD in EE, ECE, CE, or CS.
• Coursework or projects in digital design, computer architecture and performance modeling.
• Self-starter who brings sound judgment and practical problem-solving to every project with a solid interest in AI and hardware, along with the ability to take ownership and deliver results.

What We Need

• Familiarity with ASIC design concepts, ranging from performance simulations, RTL design / verification, and logic synthesis / timing analysis
• Scripting & programming skills (example: Python, PERL, tcl, C/C++); with experience using AI coding platforms
• [Architecture] Experience with architectural simulators.
• Exposure to RISC-V or other open ISAs is nice to have.
• FPGA design experience is nice to have.

What You Will Learn

• Taking designs from specification to RTL to verification, and learning the qualification checks and tools needed to do so.
• How architectural tradeoffs (Architecture: Compute vs. memory vs. interconnect. AI HW/ SOC: Power, Performance & Area) get decided with data, not intuition.
• Best practices for cross-functional collaboration, seeing firsthand how Architecture, RTL, Software, and Physical Design teams stay aligned through implementation.
• Practical methods to integrate AI tools directly into your daily technical workflow.
• [Architecture] Performance modeling methodology used before RTL existed.

USA Hiring Timelines

This internship opportunity is available throughout our 3 terms with the following corresponding recruitment cycles:

• Fall Term: Sept–Dec work term, Jan–Aug recruit.

Please note these timelines are for reference only. Actual timelines may vary.

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.

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Tenstorrent University Jobs’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.