RequirementsIf you enjoy pushing performance, working close to the metal, and designing abstractions that make complex systems usable without sacrificing control, this is your kind of role , 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 , Strong coder in C or C++, and enjoy working close to hardware , Comfortable thinking in terms of threads, processors, and memory movement , Care deeply about API design, abstraction boundaries, and developer experience in low-level systems , Experienced (or interested in) designing libraries or interfaces used by other engineers , Think about long-term maintainability, usability, and clarity when designing systems , Curious about how runtimes and bare-metal software come together to power AI , Collaborative by nature and enjoy solving tough problems with smart people , (Desirable) Experience designing or evolving non-trivial C++ APIs used by other engineers , (Desirable) Familiarity with APIs for accelerator systems (e.g., CUDA, SYCL, Vulkan, or similar) What the job involvesAs 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 close to the hardware, and define the host and device APIs that expose these capabilities to the rest of the software stack , We believe APIs are a core part of systems design: they encode hardware semantics, performance tradeoffs, and concurrency models, and they live longer than any single implementation , Design and evolve host and device APIs that expose Metal runtime capabilities clearly and efficiently , Translate low-level hardware behavior into intuitive, high-performance abstractions , Collaborate closely with runtime, kernel, and higher-level software teams to align API design with real-world usage , Ensure APIs balance performance, control, safety, and ease of use , Contribute to runtime implementation where needed to support API design and integration , Debug, analyze, and improve usability and performance across the software stack , How to design APIs and abstractions for cutting-edge AI hardware , How to balance performance, control, and usability in low-level system design , How to translate hardware capabilities into clean, developer-friendly interfaces , Best practices for building maintainable, high-performance systems software , How software and hardware co-evolve in a fast-paced AI startup#J-18808-Ljbffr