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HomeCompaniesTenstorrent University JobsAI Compiler Software Intern (PEY)

AI Compiler Software Intern (PEY)

Tenstorrent University Jobs · Toronto, Ontario, Canada · On Site · Active · Greenhouse

Job facts

FieldValue
CompanyTenstorrent University Jobs
TitleAI Compiler Software Intern (PEY)
Normalized title-
Department / teamUniversity
LocationToronto, ON, Canada
Work modelOn Site
Employment type-
Salary-
Statusactive
ATS providerGreenhouse
Posted / first seen2025-09-12 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Tenstorrent University Jobs.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Toronto.Open
Department jobsActive postings in University.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyTenstorrent University Jobs
Sourceccf82409-4cd5-4048-a209-910bbd4467f8
ATS providerGreenhouse

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, interns don’t just write code—they help shape the future of AI compute. As a Software Compiler Intern, you’ll work with a dedicated mentor and collaborate across software, firmware, hardware, and systems teams. This is a rare chance to work on performance-critical code and gain experience across the full AI stack. This role is on-site based in Toronto, Canada. Who You Are Pursuing (or recently completed) a degree in EE, CE, CS, or a related field. Solid foundation in C/C++ and algorithms; Python skills are a bonus. Curious about compilers, ML, parallel systems, or processor architecture. Problem-solver who enjoys working across abstraction layers What We Need Contribute to the development of Tenstorrent’s ML graph compiler. Benchmark and optimize key ML workloads across hardware/software. Build performance analysis tools to inform compiler and runtime design. Collaborate with ML and systems teams to co-design across the stack. What You Will Learn Compiler design for machine learning models and workloads. End-to-end co-design of software and cutting-edge AI hardware. Performance tuning and analysis in a high-performance runtime. Real-world ML integration with frameworks and low-level systems. 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

Job IDdc98dbe3200445112b3fd63cc07331ecaab23f75
Org ID5d5e418d-4ddf-4843-84d3-1a0f05fdf0c4
Source IDccf82409-4cd5-4048-a209-910bbd4467f8
Board IDccf82409-4cd5-4048-a209-910bbd4467f8
Providergreenhouse
Provider Job Key4873659007
TitleAI Compiler Software Intern (PEY)
Normalized Title
Statusactive
Activeyes
Location TextToronto, Ontario, Canada
DepartmentUniversity
Team
Employment Type
Workplace Typeon_site
Remote Policy
CountryCanada
RegionON
CityToronto
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://job-boards.greenhouse.io/tenstorrentuniversity/jobs/4873659007
Apply URLhttps://job-boards.greenhouse.io/tenstorrentuniversity/jobs/4873659007
First Seen At2026-05-29 23:03:27Z
Last Seen At2026-06-06 07:35:25Z
Last Checked At2026-06-06 07:35:25Z
Last Changed At2026-05-29 23:03:27Z
Inactive At
Source Posted At2025-09-12 21:51:34Z
Source Updated At2026-05-20 22:35:04Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=tenstorrentuniversity/date=2026-06-06/2026-06-06T07-35-25-131Z-f96cece0655dafe832d8df945ef9743add100d93ae729a5ec08012fcdeaf37d8.json
Event Fields
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  "source_hash": "a7ecd67de44043e16d9c84e58cba86747b6b80cbee87800e4739e833970aebad",
  "last_changed_at": "2026-05-29T23:03:27.487Z",
  "active_status": "active"
}
Parsed Structured
{
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  "location": {
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    "city": "Toronto",
    "region": "ON",
    "country": "Canada",
    "is_remote": false,
    "confidence": 0.95
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T07:35:25.216Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Toronto, Ontario, Canada",
      "city": "Toronto",
      "region": "ON",
      "country": "Canada",
      "is_remote": false,
      "confidence": 0.95
    },
    "countries": [
      "Canada"
    ]
  },
  "remote_policy": null,
  "salary_period": null,
  "workplace_type": "on_site",
  "salary_currency": null
}
Extensions
{}
Native Structured
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  "metadata": [
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      "name": "Careers Page Tile",
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  "updated_at": "2026-05-20T18:35:04-04:00",
  "departments": [
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  "company_name": "Tenstorrent University Jobs",
  "requisition_id": 4498373007,
  "first_published": "2025-09-12T17:51:34-04:00",
  "application_deadline": null
}
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