About the role#
This internship role focuses on making models run on Tenstorrent hardware at scale. You will join teams working on kernels, model optimization, inference, runtime, and distributed systems. We use a single application process to match you with the team that best fits your background.
What you'll do#
- Develop high performance kernels for our hardware.
- Optimize ML models including LLMs, vision, and video generation for our architecture.
- Work on development and serving-side optimization for inference.
- Build the software engine that manages memory, task scheduling, and code execution.
- Manage communication and coordination between devices in distributed AI systems.
- Create tools that optimize AI models into high-performance programs.
What you'll need#
- Currently pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, Physics, Mathematics, or a related field.
- Coursework or projects in parallel processing, machine learning, or distributed systems.
- High comfort level as an end user of AI and agentic flows.
- Experience with model quantization, kernel fusion, or other optimization techniques.
- Hands-on experience with PyTorch for experimenting with and deploying models.
- Experience with C/C++ or kernel development in languages like CUDA, or Python and at least one ML framework such as PyTorch, TensorFlow, or JAX.
- Knowledge of RTL or HDL is a plus.
Location & details#
- Location: On-site in Toronto, Ontario, Canada.
- Term: Rolling.
- Employment: Full-time internship.
- Compensation: This is a paid position.
- Sponsorship: No sponsorship available.
About Tenstorrent
Tenstorrent builds computers designed for artificial intelligence. The company focuses on computer architecture, ASIC design, and RISC-V technology. Founded in 2016, it maintains a global presence with offices in North America, Europe, and Asia. It operates as a privately held organization with over 1,000 employees.
How to get in at Tenstorrent
Applying early at Tenstorrent gives you a distinct advantage because recruiters review applications before the pile grows. Intern Insider sends an instant alert the moment a role matching your target is published, so you can submit your materials among the first candidates. Getting your application in early helps ensure your profile is seen while the team is still actively reviewing initial submissions. You can use Intern Insider to identify the recruiters behind Tenstorrent roles to reach out directly for a referral or to ask specific questions about the position. Connecting with a recruiter can materially improve your response rates compared to submitting through a general portal. This direct approach shows you are serious about the work and helps you stand out in a competitive field.
