| JOB POSTING INFORMATION | ||||||
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| Position Type: | Professional Experience Year Co-op (PEY Co-op: 12-16 months) | |||||
| Job Title: | Software Intern - AI/ML - PEY | |||||
| Job Location: | Toronto, ON | |||||
| Job Location Type: | On-Site | |||||
| If working on site, can you provide a copy of your COVID-19 safety protocols?: | Yes | |||||
| Number of Positions: | 1 | |||||
| Salary: | Salary Not Available, 40.0 hours per week | |||||
| Start Date: | 05/06/2024 | |||||
| End Date: | 09/26/2025 | |||||
| Job Function: | Engineering | |||||
| Job 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. 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 |
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| Job Requirements: |
Qualifications
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 |
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| Preferred Disciplines: |
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| All Co-op programs: | No | |||||
| Targeted Co-op Programs: |
Targeted Programs
Professional Experience Year Co-op (12 - 16 months)
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| APPLICATION INFORMATION | |
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| Application Deadline: | Nov 1, 2023 11:59 PM |
| Application Receipt Procedure: | Employer Website |
| If by Website, go to: | https://jobs.lever.co/tenstorrent/618a45ec-dcc2-4510-b862-53d87f50d2a8 |
| Additional Application Information: |
Please provide a copy of your unofficial transcripts as part of your application. We are available to assist with J1 Visa sponsorship to enable your PEY in the US. Note from your PEY Co-op Coordinator: Past and current PEY co-op students have shared over-all positve feedback about this company. Lots of challenges ; lots of learning; excellent mentors. Don't miss! If applying to this role please select "I intend to apply" before heading to the organizations website. |
| U of T Job Coordinator: | Ryan Hand |
| ORGANIZATION INFORMATION | |
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| Organization: | Tenstorrent Inc |
| Division: | Toronto |
| ADDITIONAL INFORMATION | |
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| Length of Workterm: | FLEXIBLE PEY Co-op: 12-16 months (range) |