- Location
- Belgrade, Serbia
- Workplace
- Onsite
- Type
- Internship
- Department
- University
- Seniority
- Internship
- Source
- Greenhouse
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.
As an Intern Software Engineer on the Debug team, you will help build tools and workflows that turn failures in AI workloads into actionable root-cause information.
You will work close to Tenstorrent hardware and system software, developing tools that inspect device state, registers, memory, RISC-V cores, logs, traces, and other diagnostic signals. Your work will support hardware bring-up, software development, CI diagnosis, and debugging of workloads on current and next-generation architectures. This is a hands-on systems software role involving C++, Python, Linux, testing, and collaboration across hardware and software teams.The internship is for a minimum of 3 months, with the potential for extension to 6 months.
This role is onsite in our Belgrade, Serbia office. We are currently hiring for our Fall term (October 2026 - January 2027).
- Tooling & Architecture: Develop and extend low-level debugging tools (e.g., tt-exalens, tt-triage) and adapt debug flows for new hardware architectures.
- Failure Investigation & Triage: Investigate system hangs, timeouts, and crashes, isolating root causes across software, firmware, networking, and hardware layers.
- System State Diagnostics: Build tools to expose hardware and software state, including registers, memory, RISC-V cores, callstacks, buffers, and queues.
- Automation & Testing: Enhance automated CI/development triage, write regression tests, and convert recurring investigations into reusable diagnostic artifacts.
- Education & Mindset: Pursuing a BS or MS in CS, CE, EE, or a related field, with a methodical debugging approach and strong interest in software-hardware interactions.
- Core Systems Knowledge: Solid understanding of OS, memory, concurrency, and architecture, with beneficial exposure to embedded systems, RISC-V, firmware, or assembly.
- Programming & Scripting: Experience in C++ (or another systems language) alongside Linux, shell scripting, or Python for automation, tooling, and testing infrastructure.
- Debugging & Diagnostics: Exposure to low-level tools (GDB, LLDB, perf, strace) or experience with performance profiling, tracing, log analysis, and failure triage.
What You Will Learn
- How AI workloads execute on custom accelerator hardware, from host software to device execution.
- How to debug complex failures using registers, memory, callstacks, logs, traces, and counters.
- How low-level debugging and automated triage systems are built for developers and CI environments.
- How hardware, firmware, runtime, compiler, and infrastructure teams work together to diagnose complex systems.
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.
