Principal Software Architect

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Principal Software Architect

Job Title Principal Software Architect Job ID 27774454 Work Hybrid Yes Location Laguna Hills, CA, 92653 Hybrid Other Location Description *]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" dir="auto" data-turn-id="request-WEB:f05ddd02-3959-4d41-952e-e6b9022a6664-13" data-testid="conversation-turn-28" data-scroll-anchor="false" data-turn="assistant">

• ]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" dir="auto" data-turn-id="request-WEB:f05ddd02-3959-4d41-952e-e6b9022a6664-15" data-testid="conversation-turn-30" data-scroll-anchor="false" data-turn="assistant">

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

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