GCC Compiler Engineer

Tenstorrent
Santa Clara, California, United States$100k – $500kPosted 24 February 2026

Job Description

<div class="content-intro"><p>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.</p></div><div class="p-rich_text_section">We are seeking a GCC Compiler Engineer to design, develop, and optimize compilers for next-generation RISC-V and AI compute architectures. You will work across hardware and software teams to improve performance, programmability, and integration of our custom toolchains into real applications. This role is fully hands-on and central to how developers interact with Tenstorrent hardware across both traditional compute and advanced machine learning workloads.<br><br>This role is<strong> </strong>Hybrid, based out of Santa Clara, CA, Austin, TX, or Toronto, ON. <p>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.</p> </div> <div class="p-rich_text_section"> </div> <div class="p-rich_text_section"><strong data-stringify-type="bold">Who You Are</strong></div> <ul class="p-rich_text_list p-rich_text_list__bullet p-rich_text_list--nested" data-stringify-type="unordered-list" data-list-tree="true" data-indent="0" data-border="0"> <li data-stringify-indent="0" data-stringify-border="0">Experienced compiler engineer with deep knowledge of GCC and LLVM internals, comfortable optimizing for custom hardware targets.</li> <li data-stringify-indent="0" data-stringify-border="0">Strong C/C++ developer with a solid grasp of algorithms, data structures, and performance analysis.</li> <li data-stringify-indent="0" data-stringify-border="0">Collaborative and analytical, able to work across hardware and software domains to deliver efficient, high-performance toolchains.</li> <li data-stringify-indent="0" data-stringify-border="0">Passionate about enabling breakthrough compute architectures through compiler innovation and software-hardware co-design.</li> </ul> <div class="p-rich_text_section"><strong data-stringify-type="bold">What We Need</strong></div> <ul class="p-rich_text_list p-rich_text_list__bullet p-rich_text_list--nested" data-stringify-type="unordered-list" data-list-tree="true" data-indent="0" data-border="0"> <li data-stringify-indent="0" data-stringify-border="0">Design, develop, and optimize GCC and/or LLVM compilers for Tenstorrent’s custom RISC-V hardware and AI vector engines.</li> <li data-stringify-indent="0" data-stringify-border="0">Contribute to the co-design of Tenstorrent’s hardware and software stack to maximize performance and programmability.</li> <li data-stringify-indent="0" data-stringify-border="0">Benchmark, analyze, and tune performance of core applications across RISC-V and AI software environments.</li> <li data-stringify-indent="0" data-stringify-border="0">Collaborate with ML engineers to identify and implement compiler support for emerging AI workloads and frameworks.</li> </ul> <div class="p-rich_text_section"><strong data-stringify-type="bold">What You’ll Learn</strong></div> <ul class="p-rich_text_list p-rich_text_list__bullet p-rich_text_list--nested" data-stringify-type="unordered-list" data-list-tree="true" data-indent="0" data-border="0"> <li data-stringify-indent="0" data-stringify-border="0">How compiler design directly impacts the performance and efficiency of next-generation RISC-V and AI architectures.</li> <li data-stringify ... (truncated, view full listing at source)