--- title: 'AI Software Intern - Training, Models, Kernel/Ops (Poland - Summer 2027) at Tenstorrent University Jobs' canonical: 'https://feeny.ai/job/ai-software-intern-training-models-kernel-ops-poland-summer-2027-tenstorrent-c7sg3rxm8dz4' type: 'job' last_seen: '2026-10-16' --- # AI Software Intern - Training, Models, Kernel/Ops (Poland - Summer 2027) at Tenstorrent University Jobs - **Company:** Tenstorrent University Jobs - **Location:** Gdańsk Pomeranian Voivodeship, Poland / Warszawa Masovian Voivodeship, Poland - **Posted:** 2026-10-07 - **Last confirmed live:** 2026-10-16 - **Apply:** https://job-boards.greenhouse.io/tenstorrentuniversity/jobs/5256666007 ## 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. Overview: This posting includes 3 unique teams on Tenstorrent's AI software stack - Training, Model and Ops/Kernels. These teams contribute to production software where correctness, scalability, and performance all matter. This is a full-time, on-site internship for a minimum of 13 weeks; 6 months is preferred. Training and Models teams will be based out of Warsaw. Ops/Kernels team may be based in Gdańsk or Warsaw. Final team placements are matched based on candidate skill sets and current team priorities closer to your start date. What you might work on: - Training: Develops and profiles distributed LLM training workflows, optimizing training engines, scaling behavior, and diagnostic tools across multi-device systems. - Models: Optimizes ML models (LLMs, vision models, video and image generation, and other architectures) for our hardware - Kernels/Ops: Develops high performance kernels on Tenstorrent hardware ## Who You Are - Currently pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, or a related field. - Comfortable programming in Python and C++, and working in a Linux development environment. - Grounded in data structures, algorithms, and computer architecture or systems fundamentals. - Interested in how machine-learning workloads are implemented, measured, and improved on accelerator hardware. - Curious about performance and comfortable debugging unfamiliar problems across several software layers. ## What We Need - Hands-on coursework, research, or personal projects in machine learning, systems software, or distributed computing. - Ability to reason about memory layout, parallel execution, communication, and performance tradeoffs. - Familiarity with a machine-learning framework such as PyTorch, JAX, or TensorFlow. - Experience using Git, writing tests, and working through unfamiliar technical problems methodically. - Exposure to accelerator programming, low-level optimization, or multi-device systems is a plus. ## What You Will Learn - How models move from a framework to execution on a custom AI accelerator. - How large-model training and inference use data, tensor, pipeline, sequence, context, fully sharded data, and expert parallelism to coordinate computation and communication. - How teams bring up models, validate accuracy, and diagnose regressions. - How LLM inference differs between prefill and decode, including KV-cache and latency-throughput tradeoffs. - How to profile workloads from the model level down to operations, kernels, memory, and data movement. - How to leverage agentic workflows to support software development. 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. 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