Posted May 20, 2026
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, we believe the future of computing must be open, which is why our interns don’t just watch from the sidelines - they help build the core of it. We provide a "code-to-career" pipeline where students collaborate with industry experts to solve high-stakes problems in RISC-V and AI hardware-software co-design. By joining us, you are taking an internship to democratize high-performance computers that are accessible to everyone. During your internship, you will partner with highly skilled engineers, experience many approaches to problem‑solving, and work on a carefully defined engineering project in relation to convolutions and their optimizations for Tenstorrent hardware, guided by a dedicated mentor. We are looking for a minimum of 3 months for this role with the potential for extension to 6 months. This role is onsite, based in our Belgrade office. Who You Are
Enrolled in the final year of BSc or MSc studies in Computer Science, Computer Engineering, Software Engineering, Electronics, Math, or a related field. - Comfortable with one or more programming languages, including C++ and Python. - You bring a solid foundation in algorithms and data structures and basic familiarity with machine learning frameworks and concepts. - You are curious about kernel development, low‑level and tensor optimizations, and performance profiling, and want to deepen your skills in these areas.
Contribute to the design, development, and maintenance of Tenstorrent software components connected to our hardware platform, and implement and optimize kernels for convolution‑based operations. - Analyze and optimize low‑level code to improve performance and efficiency with a strong emphasis on tensor optimization, and run performance profiling to identify and address bottlenecks. - Collaborate with machine learning engineers and data scientists to integrate optimized kernels and low‑level routines into machine learning frameworks and pipelines. - Write unit tests, debug kernel‑level code for stability and reliability, and present your project approach, accomplishments, and findings to the team at the end of your internship. What You Will Learn
How to take a well‑scoped engineering project related to convolutions and their optimizations on Tenstorrent hardware from idea to implementation with guidance from a dedicated mentor. - Hands‑on experience building, optimizing, and profiling kernels for convolution‑based operations and tuning low‑level code for performance. - Practical skills integrating optimized kernels and low‑level routines into machine learning frameworks and pipelines, and hardening them through testing and debugging. - How to communicate technical work clearly by sharing your observations, approach, and results with the broader team. Hiring Timelines
This internship opportunity is available throughout our 3 terms with the following corresponding recruitment cycles:
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