Home › Companies › Tenstorrent University Jobs › Software Intern - AI Compilers
Software Intern - AI Compilers
Tenstorrent University Jobs · Santa Clara, California, United States · On Site · Active · $50–$70 / hour · Greenhouse
Job facts
| Field | Value |
|---|---|
| Company | Tenstorrent University Jobs |
| Title | Software Intern - AI Compilers |
| Normalized title | - |
| Department / team | University |
| Location | Santa Clara, CA, United States |
| Work model | On Site |
| Employment type | - |
| Salary | $50–$70 / hour |
| Status | active |
| ATS provider | Greenhouse |
| Posted / first seen | 2024-08-30 / 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 Santa Clara. | 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.
At Tenstorrent, you will have the chance to accelerate your career by working on challenging engineering problems with a dedicated mentor and the opportunity to move between the digital design, verification, firmware, software and system engineering teams.
This role is on-site based in Austin, TX; Santa Clara, CA; or Toronto, ON
Responsibilities:
Develop machine learning graph compiler
Participate in the co-design of Tenstorrent's hardware and software stack
Benchmark, analyze, and optimize performance of key machine learning applications across Tenstorrent's hardware and software stack
Develop performance analysis and estimation infrastructure that feeds into Tenstorrent compiler
Develop high-performance run-time engine
Integrate the Tenstorrent software into leading machine learning frameworks
Work closely with machine learning engineers to discover the hardware and software requirements of current and future machine learning applications
Develop novel ML models and primitives that take advantage of Tenstorrent’s breakthrough architecture to deliver orders of magnitude performance & efficiency improvements
Experience & Qualifications:
Final year BS/MS or PhD candidate in EE/ECE/CE/CS with a strong GPA
Experience with algorithms, data structures, and software development in C/C++. Python expertise is welcome as well
Familiarity with and passion for any of the following -- machine learning, compilers, parallel programming, high-performance and massively parallel systems, processor and computer architecture -- is a plus
Strong problem solving and analytical skills
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.
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 | 4501189007 |
| Title | Software Intern - AI Compilers |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Santa Clara, California, United States |
| Department | University |
| Team | — |
| Employment Type | — |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | United States |
| Region | CA |
| City | Santa Clara |
| Salary Raw | Compensation for all interns at Tenstorrent ranges from $50/hr - $70/hr including base and variable compensation targets |
| Salary Min | 50 |
| Salary Max | 70 |
| Salary Currency | USD |
| Salary Period | hour |
| Source URL | https://job-boards.greenhouse.io/tenstorrentuniversity/jobs/4501189007 |
| Apply URL | https://job-boards.greenhouse.io/tenstorrentuniversity/jobs/4501189007 |
| 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 | 2024-08-30 15:35:13Z |
| Source Updated At | 2026-05-28 19:00:33Z |
| 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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