--- title: 'ML Models Implementation & Performance Optimization, Intern (Oct 2026 start) at Tenstorrent University Jobs' canonical: 'https://feeny.ai/job/ml-models-implementation-performance-optimization-intern-oct-2026-start-p6tjvy3fw5d6' type: 'job' last_seen: '2026-09-11' --- # ML Models Implementation & Performance Optimization, Intern (Oct 2026 start) at Tenstorrent University Jobs - **Company:** Tenstorrent University Jobs - **Location:** Belgrade, Serbia - **Posted:** 2026-03-18 - **Last confirmed live:** 2026-09-11 - **Apply:** https://job-boards.greenhouse.io/tenstorrentuniversity/jobs/5082990007 ## 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, 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. In this role, you will implement state of art ML models on Tenstorrent hardware using Python and C++, focusing on pushing both accuracy and inference speed. You will work hands-on with Tenstorrent’s open-source software stack (tt-metalium, tt-nn, tt-llk), taking models from framework to silicon and iterating on performance. You will own a well-defined engineering project under the guidance of a dedicated mentor, with direct impact on how real workloads run on our chips. 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. This role starts October 2026. ## 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. - Solid coding skills in Python and C++, with a basic understanding of machine learning concepts and frameworks. - You have a passion for programming, are eager to learn, and enjoy solving complex performance and optimization problems. - You are collaborative, open to feedback, and excited to work closely with experienced engineers and a dedicated mentor. ## What We Need - Implement functional ML models on Tenstorrent hardware using Python and popular ML frameworks like PyTorch. - Benchmark, analyze, and optimize the performance of the implemented model's inference using existing tools and coding in C++ and Python. - Collaborate with experienced engineers to validate the accuracy of implemented models and iterate on improvements. - Contribute to performance optimization efforts where success is measured by achieving both high accuracy and fast execution (inference) of ML models on Tenstorrent hardware. ## What You Will Learn - How to implement state-of-the-art ML models on Tenstorrent hardware using Python, C++, and popular ML frameworks like PyTorch. - Techniques for benchmarking, analyzing, and optimizing the performance of ML model inference using existing tools and code in C++ and Python. - How to use (and potentially debug and fix) Tenstorrent’s open-source software libraries, such as tt-metalium, tt-nn, and tt-llk. - How to collaborate with experienced engineers, apply various problem-solving techniques, and drive a well-defined engineering project under the guidance of a dedicated mentor. 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. ## About Tenstorrent University Jobs ## Company Overview - **One-liner**: Tenstorrent designs high‑performance RISC‑V CPUs and tensor‑based AI processors, and develops open‑source software to unlock the next wave of AI innovation. - **Entity Type**: Private (funding stage not disclosed in provided sources) - **Headquarters**: Multiple locations, including Santa Clara, California, USA and Toronto, Ontario, Canada; additional offices in Austin, Boston, Fort Collins, Belgrade, Warsaw, Bengaluru, Beijing, Pangyo, and Tokyo. - **Founded**: Not specified in provided sources - **Founders**: Not specified in provided sources ## Core Business - **Primary industry/industries**: Semiconductor design / AI hardware accelerators / RISC‑V CPU architecture - **Target customers**: B2B – hyperscalers, AI research labs, enterprises deploying AI inference and training workloads, and OEMs looking for alternative AI compute platforms - **Mission/purpose statement**: “We build RISC‑V CPUs, Tensor AI processors, and open‑source software to unlock the next innovations in AI.” (from [tenstorrent.com](https://tenstorrent.com/en/university)) ## Products & Services - **RISC‑V CPUs**: High‑performance, custom CPU cores designed from scratch for modern AI and general‑purpose workloads. - **Tensor AI Processors**: Accelerators that combine tensor compute with a novel data‑flow architecture to deliver orders‑of‑magnitude performance and efficiency improvements for machine learning. - **Open‑Source Software Stack**: Includes the **TT‑Metal** runtime, an **AI compiler**, **scale‑out fabric** software, and integrations with leading ML frameworks (PyTorch, etc.). All software is developed openly to enable transparency, modifiability, and community contributions. ## Market Standing - **Valuation/Market Cap**: Not publicly available in provided sources - **Key Metric**: Not disclosed; however, the company is actively hiring interns and new grads across hardware, software, and operations teams in more than ten global offices, signaling strong growth. - **Notable Investors/Partners**: Not specified in provided sources - **Growth Signals**: Hosts a dedicated university recruiting portal with 36 open intern/new‑grad roles (as of inspection); compensates interns at $50–$70/hour; expanding office footprint to Europe and Asia. ## Competitive Advantages - **Custom RISC‑V CPU**: Developed a high‑performance RISC‑V core entirely in‑house, differentiating from Arm or x86‑dependent competitors. - **Hardware‑Software Co‑Design**: The team includes architecture, silicon, firmware, compiler, and runtime engineers working together, enabling tightly integrated AI solutions. - **Open‑Source Commitment**: All software is open and modifiable, reducing vendor lock‑in and attracting developer‑first organizations. - **First‑Principles Culture**: Hiring emphasis on “first principle thinkers” and “flexible thinkers” who challenge existing paradigms. ## Strategic Focus - Continue building an **open AI hardware platform** that is affordable, transparent, and modifiable. - Invest in **RISC‑V ecosystem** and **open‑source tooling** to lower barriers for AI adoption. - Expand global engineering presence (new offices in Europe and Asia) and grow the university pipeline to feed future talent. - Advance **chiplet‑based design** and **scale‑out architectures** to address both inference and training at large scale. ## Why Work Here - **Cutting‑Edge Technology**: Work on bleeding‑edge AI silicon, RISC‑V CPUs, and compiler infrastructure from the ground up. - **Mentorship & Rotation**: Interns receive dedicated mentors and can move across digital design, verification, firmware, software, and systems engineering teams. - **Compensation**: Interns are paid $50–$70/hour (including variable compensation), which is highly competitive for the industry. - **Locations**: Hybrid roles available in Austin, Boston, Santa Clara, Toronto, Belgrade, and Bengaluru, with many teams offering flexible work modes. - **Culture**: Emphasizes curiosity, collaboration, and a commitment to solving hard problems; described as “open” and “first‑principles.” - **Career Acceleration**: Opportunity to work on full‑stack projects from architecture to production deployment, with exposure to the entire AI compute pipeline. ## Sources 1. [tenstorrent.com (University page)](https://tenstorrent.com/en/university) 2. [tenstorrent.com (Careers / University)](https://tenstorrent.com/en/careers/university) 3. [Greenhouse – Tenstorrent University Jobs](http://job-boards.greenhouse.io/tenstorrentuniversity) 4. [Greenhouse – Software Intern AI Compilers](https://job-boards.greenhouse.io/tenstorrentuniversity/jobs/4968219007) 5. [tenstorrent.com (Software University Recruiting)](https://tenstorrent.com/en/university/software) ## Other roles at Tenstorrent University Jobs - [Software Engineering Intern (Oct 2026 start)](https://feeny.ai/job/software-engineering-intern-oct-2026-start-tenstorrent-university-jobs-belgrade-c48f8zyq7tfe) — Belgrade, Serbia - [Software Engineering Intern, Power Modeling & AI Tools](https://feeny.ai/job/software-engineering-intern-power-modeling-ai-tools-tenstorrent-university-jobs-kqpb7adw7f88) — Santa Clara California, United States - [Finance Operations Intern](https://feeny.ai/job/finance-operations-intern-tenstorrent-university-jobs-santa-clara-california-hcp2dbykft4x) — Santa Clara California, United States - [Infrastructure and Platform Development Intern](https://feeny.ai/job/infrastructure-and-platform-development-intern-tenstorrent-university-jobs-hgwv8xam4ark) — Gdańsk Pomeranian Voivodeship, Poland / Warszawa Masovian Voivodeship, Poland - [Machine Learning Engineer Intern](https://feeny.ai/job/machine-learning-engineer-intern-tenstorrent-university-jobs-warszawa-masovian-ghy47m2c4dnk) — Warszawa Masovian Voivodeship, Poland - [Infrastructure Automation Engineering Intern](https://feeny.ai/job/infrastructure-automation-engineering-intern-tenstorrent-university-jobs-812rwj9ae8kt) — Warszawa Masovian Voivodeship, Poland - [Manufacturing Engineer Co-op](https://feeny.ai/job/manufacturing-engineer-co-op-tenstorrent-university-jobs-toronto-f1xeknrf9w6t) — Toronto, Canada - [Applied AI Intern, People Operations](https://feeny.ai/job/applied-ai-intern-people-operations-tenstorrent-university-jobs-toronto-e9cewfvdd19w) — Toronto, Canada - [CPU/AI Workload Analysis Intern](https://feeny.ai/job/cpu-ai-workload-analysis-intern-tenstorrent-university-jobs-santa-clara-bb3hwgrxqjnh) — Santa Clara California, United States - [Software Engineer Intern, AI Compiler (Serbia)](https://feeny.ai/job/software-engineer-intern-ai-compiler-serbia-tenstorrent-university-jobs-belgrade-gcvp8be1d1gc) — Belgrade, Serbia