AI Compiler Lead (ML Accelerator)

Brahma Consulting Group is conducting this search on behalf of our client.

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About the role

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We're building a next-generation low-power AI accelerator (NPU) for physical AI, robotics, drones, and edge devices where latency, power, and memory movement are everything. You'll own the compiler and model-lowering stack from scratch: taking AI models and lowering them onto brand-new silicon as efficiently as the chip allows, working hand in hand with our silicon architects.

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This is the most important software hire on the team and a true 0-to-1 build. You'll architect the full stack yourself early on, then hire and lead the compiler team beneath you as we scale over the next year.

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What you'll do

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• Build the full compiler stack end to end, from model ingestion (graph import, operator lowering, IR) to optimized executable output for our NPU
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• Work with silicon architects to schedule memory movement, integrate quantization, and partition graphs for efficiency and lowest latency
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• Own graph transformations, quantization integration, code generation, and compiler diagnostics
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• Hire and lead the compiler and ML systems team, and serve as technical authority for evaluating future compiler talent
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What we're looking for

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• 10+ years in industry, 5+ specifically in compiler development for ML accelerators, GPUs, or DSPs
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• Hands-on across the full pipeline: graph import, operator lowering, compiler IR, graph transformations, quantization, and graph partitioning
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• Real depth building compiler internals, not just using existing toolchains, ideally for custom or novel silicon
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• A team lead who still wants to be hands-on, excited to architect and write code, not just manage
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• Builder-level familiarity with MLIR, LLVM, TVM, XLA, IREE, or Glow
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