Principal Software Architect

Principal Software Architect Define how developers build AI on next-generation hardware At BrainChip, we’re building a new class of AI. Our neuromorphic processors are designed to process data the way the brain does, enabling ultra-efficient, real-time intelligence directly on devices. We’re looking for a Principal Software Architect to define how developers interact with this technology. This is not a typical platform role. You will own the full developer experience for our next-generation NPU, shaping how AI models are built, optimized, deployed, and run on neuromorphic hardware. You’ll work directly with the CTO, compiler, and silicon teams to translate cutting-edge hardware capabilities into intuitive, high-performance software systems that developers actually want to use. If you care about the intersection of AI, systems, and developer experience, this is a rare opportunity to define a new paradigm. What you’ll own The end-to-end developer experience for building and deploying AI on BrainChip hardware The software layer that bridges neuromorphic silicon and real-world AI applications How developers optimize performance, power efficiency, and real-time inference What you’ll do Architect and integrate a unified AI toolchain across compiler, runtime, IDE, and deployment Build a modern developer environment with LLM-assisted workflows and intelligent tooling Design profiling and observability systems tailored for real-time AI workloads Enable efficient deployment of AI models onto resource-constrained, edge devices Lead bootloader architecture and RTOS integration for AI-enabled systems Extend debugging and tracing capabilities to expose AI model behavior at runtime Partner with silicon and compiler teams to shape hardware-software co-design Use real-world AI workloads to influence architecture decisions and performance tradeoffs What you bring 7+ years of experience in systems software, developer platforms, or low-level architecture Strong background in AI systems, embedded systems, or performance-critical software Experience building or integrating developer tools, compilers, or runtime environments Expertise in C or C++ with strong proficiency in Python Strong experience in several of the following: AI or ML frameworks and model deployment workflows Compiler ecosystems such as LLVM or MLIR Debugging and profiling tools such as GDB, LLDB, eBPF Embedded systems and RTOS environments such as Zephyr or FreeRTOS IDE tooling such as VS Code extensions, LSP, or DAP Nice to have Experience with edge AI, neuromorphic computing, or low-power inference Contributions to open-source developer tools or AI frameworks Experience integrating LLMs into developer workflows Background in robotics, embedded AI, or real-time systems Why this role Define how developers build AI on a fundamentally new hardware architecture Work directly with leadership and influence product direction Solve challenges at the intersection of AI, systems, and hardware Be part of a team building real-world AI that runs beyond the cloud #J-18808-Ljbffr BrainChip Holdings Ltd