Software Engineer, Metal Runtime
About The Position
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 Metal Runtime team at Tenstorrent, you’ll work on the low-level software that powers our AI accelerators. You’ll design fast, efficient runtime systems that run directly on hardware and make our chips shine. If you're into pushing performance, working close to the metal, and making complex systems run smoothly, this is your kind of role. This role is hybrid, based out of Santa Clara, CA. 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.
Requirements
- Strong coder in C or C++, and love working close to hardware.
- Comfortable thinking in terms of threads, processors, and memory movement, and experienced writing fast, parallel code that runs across multiple processors.
- Curious about how runtimes and bare-metal software come together to power AI.
- Collaborative by nature and enjoy solving tough problems with smart people.
Responsibilities
- Build and optimize the Metal runtime that runs directly on our AI accelerators.
- Develop bare-metal software that controls compute units, data flow, and async operations.
- Work closely with hardware teams to get the most out of our architecture.
- Debug, analyze, and tune runtime performance across massively parallel systems.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
Number of Employees
501-1,000 employees
