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Hardware Intern - AI HW & SoC (Canada)
@ Tenstorrent University Jobs
Overview
Tenstorrent is hiring a hardware intern for its AI hardware and SoC teams in Canada, working across architecture, AI accelerator IP and system-on-chip integration. The role involves ASIC design concepts, RTL design and verification, and scripting in languages such as Python, C/C++, PERL and tcl. The posting is for students pursuing a BS, MS or PhD in EE, ECE, CE or CS, and it states that the offer is contingent on eligibility to access U.S. export-controlled technology.
Responsibilities:
- Support AI accelerator IP from requirements through RTL design and verification
- Run performance simulations and architectural tradeoff analyses
- Contribute to SoC integration and validation work
- Work with architecture, RTL, software and physical design teams
Requirements summary:
- Current student in BS, MS or PhD program in EE, ECE, CE or CS
- Coursework or projects in digital design and computer architecture
- Familiarity with ASIC design, RTL, and synthesis or timing analysis
- Scripting and programming skills in Python, C/C++, PERL or tcl
Tools & skills
Source and dates
Employer career site / ATS feed · greenhouse
- Employer posting date
- 2026-10-06
- First seen by our source
- 2026-10-08
- Source record updated
- 2026-10-10
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Entry level |
| Department | Engineering |
| Work setting | Office, Laboratory |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required), Master’s degree (preferred), Doctorate (preferred) |
| Fields of study | Electrical Engineering, Electrical and Computer Engineering, Computer Engineering, Computer Science |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Tenstorrent University Jobs
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Build. Develop. Scale.
Full company description
Tenstorrent is a next-generation computing company that builds computers for AI. Headquartered in the U.S. with offices in Austin, Texas, and Silicon Valley, and global offices in Toronto, Belgrade, Seoul, Tokyo, and Bangalore, Tenstorrent brings together experts in the field of computer architecture, ASIC design, RISC-V technology, advanced systems, and neural network compilers. Tenstorrent is backed by Eclipse Ventures and Real Ventures, Archerman Capital, Samsung Catalyst Fund, and Hyundai Motor Group among others. Join us: www.tenstorrent.com/careers.
- LinkedIn followers
- 56,330
- People associated on LinkedIn
- 759
- Reported office locations
- Toronto, ON, CA
- Austin, US
- Santa Clara, California, US
- Belgrade, RS
- Bangalore, IN
- Business categories
- Electronics
- Semiconductor
- Artificial Intelligence
- Application Specific Integrated Circuit (ASIC)
- Hardware
- Artificial Intelligence (AI)
- Machine Learning
- AI Infrastructure
- Other recorded names
- Tenstorrent
- Tenstorrent University Jobs
- Tenstorrent Unlisted/Referral Jobs
- Specialties
- Deep learning hardware
- Profile identifies a recruitment agency
- No
- Reported total investment
- 1,027,549,999
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Tenstorrent is a next-generation computing company that builds computers for AI. Headquartered in the U.S. with offices in Austin, Texas, and Silicon Valley, and global offices in Toronto, Belgrade, Seoul, Tokyo, and Bangalore, Tenstorrent brings together experts in the field of computer architecture, ASIC design, RISC-V technology, advanced systems, and neural network compilers. Tenstorrent is backed by Eclipse…
| Field | Value |
|---|---|
| Industry | Computer Hardware Manufacturing |
| Company size | 201-500 employees |
| Headquarters | Toronto, ON |
| Organization type | Privately Held |
| Year founded | 2016 |
| Specialties | Deep learning hardware |
| Open jobs on Jobsy | 7 |
| View page |
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.
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.
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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