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.

As an Acceleration Kernel Developer at Tenstorrent, you will play a crucial role in optimizing low-level workloads, kernel development, and enhancing our software's performance for machine learning applications. You will work closely with a team of highly skilled engineers to ensure that our software operates at peak efficiency, delivering high-quality results to our clients and users.

This role is hybrid, based out of Toronto, Ontario.

Responsibilities:

• Kernel Development: Participate in the design, development, and maintenance of kernel-level software components for our applications. develop and optimize kernels and kernel libraries for efficient machine learning and HPC applications.
• Implementation of tensor compute and tensor data movement optimizations kernels
• Heavy focus on optimizations.
• Low-Level Optimization: Analyze and optimize low-level code to improve the performance and efficiency of our software, with a strong emphasis on tensor optimization.
• Machine Learning Integration: Collaborate with machine learning engineers and data scientists to integrate optimized kernels and low-level routines into machine learning frameworks and pipelines.
• Performance Profiling: Identify performance bottlenecks, conduct performance profiling, and develop strategies to address and resolve them.
• Testing and Debugging: Write comprehensive unit tests, conduct thorough debugging, and ensure the stability and reliability of kernel-level code.
• Infrastructure: Develop infrastructure to analyze functional test and performance test data.
• Documentation: Create clear and concise documentation for code, APIs, and best practices to facilitate collaboration within the team.
• Research and Innovation: Stay up-to-date with the latest developments in kernel development, tensor optimization, and machine learning to propose innovative solutions and improvements.

Experience & Qualifications:

• Currently enrolled in a bachelors degree, or a masters or doctorate program in Computer Science, Software Engineering, Computer Engineering, Engineering Science or a related field.
• A strong understanding of algorithm implementation and low level algorithm optimization.
• Experience with parallel acceleration development, such as parallel algorithms on CPU, or GPU acceleration.
• High degree of proficiency in C/C++ and Python programming languages.
• Familiarity with machine learning frameworks and concepts.
• Strong problem-solving skills and the ability to analyze and debug complex issues.
• Experience with debug, performance profiling and optimization tools.
• Excellent communication and teamwork skills.
• Self-motivated, detail-oriented, and able to work independently as well as in a team.
• Familiarity with infrastructure built with cloud services is a plus (e.g. AWS).

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

• Enrolled in a Mechanical Engineering or related program (PEY/internship term).
• Comfortable using MCAD tools and standard mechanical lab equipment.
• Organized, hands-on, and ready to learn fast in a lab environment.
• Communicates clearly and pays attention to the details that matter.

• School experience with MCAD software.
• School experience using standard mechanical lab equipment.
• Exposure to thermal or fluid modeling software is an asset.
• Excellent verbal and written communication skills.
• Strong attention to detail and organization skills.

What You Will Learn

• How mechanical design integrates into real-world AI hardware systems.
• Testing techniques for thermal, acoustic, and structural performance.
• Collaboration across electrical, mechanical, and validation teams.
• Best practices in documentation, lab workflows, and system bring-up.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Tenstorrent’s Metal Infra team is all about developer happiness—internal and external. As a Release Engineer Intern, you’ll help automate, maintain, and improve the systems behind our open-source Metal stack (tt-metal on GitHub). From CI pipelines to dashboards and build systems, your work will help teams ship faster and smarter.

This role is hybrid, based out of Toronto.

Who You Are:

• Working toward a CS or Engineering degree (or equivalent experience).
• Comfortable writing clean, reusable Python or C++ code.
• Familiar with CI/CD tools and container tech like Docker.
• Detail-oriented, team-minded, and eager to automate the boring stuff.

What We Need:

• Build and maintain automation tools for build, test, and deploy pipelines.
• Collaborate with dev teams to improve delivery workflows and reliability.
• Support monitoring, dashboards, and metrics to drive better decisions.
• Troubleshoot build and release issues and help prevent them long-term.

What You Will Learn:

• How modern CI/CD pipelines power high-performance hardware-software development.
• Infrastructure automation in a hybrid, multi-platform environment.
• Real-world incident response, debugging, and continuous delivery best practices.
• How open-source tools and internal systems come together in production environments.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

The IP Product Team is where deep tech meets big-picture strategy. We’re the bridge between engineering brilliance and real-world impact — defining how our core IP comes to life and gets delivered to customers.

We’re looking for an Intern who loves technology and wants to learn how world-class intellectual property (IP) gets transformed into world-changing products. You’ll collaborate with engineers, product managers, and cross-functional teams to help shape the future of Tenstorrent’s RISC-V CPU and AI IP portfolio.

This role is remote, based out of the U.S. or Canada.

Who You Are

• Currently enrolled in an Engineering, Computer Science, Business, or related undergraduate program.
• Have exposure to engineering concepts or environments — you can follow (and enjoy!) a technical conversation, even if you’re not an engineer yourself.
• Have experience or a strong interest in program management, operations management, especially where technology and strategy intersect.
• A clear and confident communicator who loves translating technical detail into actionable insight.
• Highly organized, curious, and ready to take initiative in a fast-moving environment.
• Excited by semiconductors, RISC-V, AI, and the process of turning cutting-edge ideas into products that scale.
• Skilled in applying AI technology to automate, generate, analyze data.

What We Need

• Support in defining and maintaining product documentation, roadmaps, planning and release materials for Tenstorrent IP.
• Coordinate with engineering and product management teams to ensure alignment on milestones and deliverables.
• Assist in gathering and analyzing data to support product decisions and reporting using AI tools.
• Help manage internal tools and processes for IP lifecycle management and customer documentation.
• Participate in cross-functional meetings to capture action items and help drive follow-up execution

What You Will Learn

• How semiconductor IP is developed, tracked, and released at scale.
• The art and science of program management and operations in the world of RISC-V CPUs, AI and hardware innovation.
• Best practices and applying AI in documentation, communication, and product lifecycle management.
• Deep insights into RISC-V architecture, AI accelerators, and the technology shaping the future of compute.