Software Engineer, AI Tools

Tenstorrent
Austin, TX

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 a Software Engineer on the AI Tools team at Tenstorrent, you’ll build intelligent systems that help developers create faster, more efficient compute kernels for our AI hardware. You’ll combine low-level performance know-how with AI techniques to automate optimization, debugging, and kernel generation. If you like blending systems programming with machine learning to solve real performance problems, you’ll feel right at home.

This role is hybrid, based out of Toronto, ON; Austin, TX; Santa Clara, CA, with the opportunity to be remote on a candidate-by-candidate basis.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are


  • Skilled in Python and C++ with a strong grasp of algorithms, data structures, and performance tuning.

  • Comfortable working with machine learning frameworks like PyTorch or TensorFlow and curious about applying LLMs to systems work.

  • Experienced with GPU programming (CUDA, OpenCL, ROCm) and optimizing kernels for speed and efficiency.

  • Excited by the idea of automating tedious development tasks and turning them into intelligent, AI-driven workflows.

What We Need


  • Design AI-powered tools that help developers write, optimize, and debug compute kernels.

  • Integrate these tools into existing compiler and development workflows.

  • Build automated profiling, testing, and analysis systems that flag performance and correctness issues.

  • Experiment with novel AI and ML approaches for program synthesis, kernel optimization, and automated debugging.

What You Will Learn


  • How to merge AI techniques with low-level systems programming for real-world performance gains.

  • Ways to leverage large language models for code generation, optimization, and developer tooling.

  • How to work closely with hardware, compiler, and ML teams to bridge high-level AI ideas with low-level execution.

  • Strategies for building scalable, intelligent development infrastructure for advanced semiconductor products.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

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.

Posted 2025-09-22

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