Principal Compiler Engineer

Brahma Consulting Group is conducting this search on behalf of our client. About the roleWe'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.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.What you'll doBuild the full compiler stack end to end, from model ingestion (graph import, operator lowering, IR) to optimized executable output for our NPUWork with silicon architects to schedule memory movement, integrate quantization, and partition graphs for efficiency and lowest latencyOwn graph transformations, quantization integration, code generation, and compiler diagnosticsHire and lead the compiler and ML systems team, and serve as technical authority for evaluating future compiler talentWhat we're looking for10+ years in industry, 5+ specifically in compiler development for ML accelerators, GPUs, or DSPsHands-on across the full pipeline: graph import, operator lowering, compiler IR, graph transformations, quantization, and graph partitioningReal depth building compiler internals, not just using existing toolchains, ideally for custom or novel siliconA team lead who still wants to be hands-on, excited to architect and write code, not just manageBuilder-level familiarity with MLIR, LLVM, TVM, XLA, IREE, or Glow