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.
You will work at the hardware/software boundary to define how those hardware blocks are initialized, coordinated, and used by the runtime. You will determine how workloads are dispatched, scheduled, synchronized, and executed across the accelerator, while solving complex performance problems through implementation, bring-up, and debugging.
This role is hybrid and based in Toronto, ON or Austin, TX.
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
- An expert C or C++ engineer with a track record of designing and delivering complex, performance-critical systems.
- Experienced working close to hardware in low-level, embedded, bare-metal, or accelerator environments and translating hardware specifications into reliable software behavior.
- Strong in runtime fundamentals, including command execution, scheduling, synchronization, memory movement, resource management, and parallelism.
- Skilled at debugging and optimizing systems end-to-end, especially at the hardware/software boundary.
- A technical leader who collaborates effectively across hardware, firmware, compiler, and systems teams and mentors other engineers.
What We Need
- Define the runtime architecture and implementation that controls execution, scheduling, synchronization, and resource management across Tenstorrent’s custom processor, accelerator, memory, and data-movement IP.
- Build low-level runtime components that initialize hardware IP, dispatch work to processor and accelerator engines, coordinate dependencies, and manage resources efficiently.
- Design runtime interfaces and data-movement paths that make memory access, synchronization, and execution efficient and predictable.
