Home › Companies › Tenstorrent University Jobs › Physical Design Intern - CPU/AI Hardware
Physical Design Intern - CPU/AI Hardware
Tenstorrent University Jobs · Austin, Texas, United States; Santa Clara, California, United States · On Site · Active · $50 / hour · Greenhouse
Job facts
| Field | Value |
|---|---|
| Company | Tenstorrent University Jobs |
| Title | Physical Design Intern - CPU/AI Hardware |
| Normalized title | - |
| Department / team | University |
| Location | Austin, TX, United States |
| Work model | On Site |
| Employment type | - |
| Salary | $50 / hour |
| Status | active |
| ATS provider | Greenhouse |
| Posted / first seen | 2024-09-25 / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Tenstorrent University Jobs. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Greenhouse. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Austin. | Open |
| Department jobs | Active postings in University. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Tenstorrent University Jobs |
| Source | ccf82409-4cd5-4048-a209-910bbd4467f8 |
| ATS provider | Greenhouse |
Description
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 a team shaping the performance of next-gen CPUs and AI/ML chips. As a Physical Design Intern, you'll work hands-on from synthesis through tapeout, collaborating with top engineers to optimize some of the most advanced silicon in the world.
This role is onsite, based out of Austin, TX or Santa Clara, CA.
Who You Are
Currently pursuing a BS, MS, or PhD in EE, ECE, CE, or CS
Solid understanding of logic design, VLSI, and transistor-level concepts
Familiar with PnR tools, timing analysis, and power optimization techniques
Comfortable scripting in Tcl, Perl, Shell, or Python
What We Need
Support key physical design tasks—synthesis, floorplanning, PnR, clocking, timing closure
Analyze and improve design PPA (Power, Performance, Area)
Collaborate with front-end, PD, and architecture teams to influence early design decisions
Explore and implement new flows, tools, or RTL experiments to optimize designs
What You Will Learn
End-to-end physical design flow—from RTL handoff to final tapeout
Deep dive into timing, power, EM/IR, and area trade-offs
Industry-standard tools and techniques for modern chip development
How top-tier silicon teams operate at scale
Compensation for all engineers 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.
Full job record
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| Org ID | 5d5e418d-4ddf-4843-84d3-1a0f05fdf0c4 |
| Source ID | ccf82409-4cd5-4048-a209-910bbd4467f8 |
| Board ID | ccf82409-4cd5-4048-a209-910bbd4467f8 |
| Provider | greenhouse |
| Provider Job Key | 4526301007 |
| Title | Physical Design Intern - CPU/AI Hardware |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Austin, Texas, United States; Santa Clara, California, United States |
| Department | University |
| Team | — |
| Employment Type | — |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | United States |
| Region | TX |
| City | Austin |
| Salary Raw | Compensation for all engineers at Tenstorrent ranges from $50/hr - 70/hr including base and variable compensation targets |
| Salary Min | 50 |
| Salary Max | — |
| Salary Currency | USD |
| Salary Period | hour |
| Source URL | https://job-boards.greenhouse.io/tenstorrentuniversity/jobs/4526301007 |
| Apply URL | https://job-boards.greenhouse.io/tenstorrentuniversity/jobs/4526301007 |
| First Seen At | 2026-05-29 23:03:27Z |
| Last Seen At | 2026-06-06 07:35:25Z |
| Last Checked At | 2026-06-06 07:35:25Z |
| Last Changed At | 2026-05-29 23:03:27Z |
| Inactive At | — |
| Source Posted At | 2024-09-25 19:23:32Z |
| Source Updated At | 2026-05-20 22:35:04Z |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=tenstorrentuniversity/date=2026-06-06/2026-06-06T07-35-25-131Z-f96cece0655dafe832d8df945ef9743add100d93ae729a5ec08012fcdeaf37d8.json |
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