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Software Testing Infrastructure Intern - Low Level Kernels

Belgrade, Serbia

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.

As a Software Testing Infrastructure Intern on our Low Level Kernels team, you will help build and enhance the performance testing infrastructure that ensures our AI processors deliver optimal performance. You will work on infrastructure that continuously monitors, analyzes, and visualizes performance metrics, enabling our team to catch regressions early and ship high-quality software with confidence. 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, Serbia office.
 
 
Who You Are
  • Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field.
  • Strong proficiency in Python with a focus on developing automation scripts and streamlining workflows.
  • Familiarity with Linux environments, Bash scripting, and a working knowledge of C++.
  • Solid understanding of database concepts (SQL/PostgreSQL) and basic computer hardware architecture.
  • Curiosity about automation, CI/CD workflows, and data visualization, hands on experience is plus.


 What We Need
  • Implement a robust system for storing and managing performance test results generated by our LLK library.
  • Build end-to-end automation systems to support regression testing driven by specific performance metrics.
  • Develop and enhance data dashboards to visualize performance trends and provide clear test result summaries.
  • Create sophisticated alerting systems to notify engineering teams of performance regressions and data anomalies.
  • Improve existing performance testing frameworks to support continuous monitoring and cross-functional engineering insights.


What You Will Learn
  • How to design systems for storing and analyzing high-volume performance metrics from AI hardware testing.
  • How to build automated pipelines that detect regressions early and maintain rigorous quality standards.
  • How to transform raw performance data into actionable insights through modern monitoring and visualization tools.
  • Hands-on experience with industry-standard infrastructure including GitHub Actions, cloud storage, and relational databases.

 

Hiring Timelines

This internship opportunity is available throughout our 3 terms with the following corresponding recruitment cycles:

  • Winter Term: Mar–May work term, Nov–Jan recruit.
  • Summer Term: Aug–Oct work term, Jan–May recruit.
  • Fall Term: Oct–Dec work term, Apr–May recruit.

Please note these timelines are for reference only. Actual timelines may vary.



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.

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