Software Engineer, Acceleration Kernel Development
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 Acceleration Kernel Development team at Tenstorrent, you’ll work at the intersection of software and hardware performance. You’ll be writing low-level code that directly powers high-efficiency machine learning workloads, optimizing every cycle, every memory move, every instruction. If you're motivated by performance, precision, and real impact, this is where your skills will shine.
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
- A developer who loves high performance code, wrangling bits, optimizing compute, and making hardware fly.
- Comfortable in C/C++ and able to build fast, efficient code from the ground up.
- Obsessed with performance and precision, especially in tensors and ML workloads.
- Motivated by complex problems and thrives in collaborative, fast-moving environments.
What We Need
- Expertise in building and optimizing compute kernels for parallel ML and high-performance workloads.
- Ability to analyze and tune instruction-level performance across latency, memory, and bandwidth.
- A collaborative mindset to work closely with ML engineers and integrate optimizations into production.
- Ownership of debugging, profiling, and maintaining a fast, reliable low-level software stack.
What You Will Learn
- The art of pushing AI hardware to its limits by shaping how kernels are written and executed.
- How to integrate kernel work into ML frameworks and real-world training pipelines.
- Skills in tuning performance on cutting-edge architectures with top-tier hardware engineers.
- Expertise in keeping code lean, reliable, and scalable even under heavy workloads.
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.
Due to U.S. Export Control laws and regulations, Tenstorrent is required to ensure compliance with licensing regulations when transferring technology to nationals of certain countries that have been licensing conditions set by the U.S. government.
Our engineering positions and certain engineering support positions require access to information, systems, or technologies that are subject to U.S. Export Control laws and regulations, please note that citizenship/permanent residency, asylee and refugee information and/or documentation will be required and considered as Tenstorrent moves through the employment process.
If a U.S. export license is required, employment will not begin until a license with acceptable conditions is granted by the U.S. government. If a U.S. export license with acceptable conditions is not granted by the U.S. government, then the offer of employment will be rescinded.
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