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Principal Software ArchitectBrainChip Holdings Limited • Laguna Woods, California, United States
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Principal Software Architect

BrainChip Holdings Limited
  • US
    Laguna Woods, California, United States
  • US
    Laguna Woods, California, United States
Postuler Maintenant

À propos

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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  • Laguna Woods, California, United States

Compétences linguistiques

  • English
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