Compiler Software Engineer

Accelerator, Compiler, and Toolchain Lead.Santa Clara, CAUp to $350K + EquityVisa sponsorship availableMy client is a well-funded ($110m Series A) startup who builds ultra-low power AI chips for physical AI — think robotics, drones, and autonomous systems competing directly with Nvidia and Qualcomm.Founded by exited entrepreneurs with a proven track record of building and shipping industry-defining silicon. The physical AI edge market is wide open right now.Accelerator Compiler & Toolchain Lead role — own the entire compiler stack from scratch for a brand new NPU architecture. Build and lead the team. On-site in Santa Clara, $250K-$350K+ base with equity.Candidate RequirementsMust have expertise in AI silicon acceleration and compiler development.Looking for a senior candidate with 10+ years in the industry and 5+ years with compilers.Technical SkillsExperience with end-to-end compiler development, including graph import, operator lowering, and quantization.Familiarity with ONNX, TensorFlow, LLVM, and IR frameworks.Team Structure and GrowthInitial hands-on role with transition to team leadership, responsible for hiring additional team members.Opportunity to build and guide a team focused on AI silicon tools.Requirements:Built or shipped compiler infrastructure for ML/AI accelerators (e. g. , NPU, GPU, DSP compiler stacks at Nvidia, Qualcomm, Google, Ambarella, Sema, or Quadric)End- to- end compiler knowledge: graph import, operator lowering, IR, graph transformations, quantization, graph partitioningMust be based in or willing to relocate to Santa Clara, CA; 5 days/week on- site10 - 20 years of experience in compiler development for ML accelerators, GPUs, or DSPs (min 5 years specifically with compilers)Led or technically guided a compiler/ML systems engineering teamStrong C++ and Python; experience with MLIR, LLVM, TVM, XLA, or equivalentGenuinely enthusiastic about hands- on technical work, not just managingExperience at Nvidia, Qualcomm, Google, Ambarella, Sema, or QuadricFamiliarity with edge AI workloads: robotics, computer vision, CNNs, transformersVisa sponsorship/transfer available if neededIf this sounds like you apply today! Interviews are happening now the role is high priority!