AI Graph Compiler Engineer

The AI Graph Compiler Engineer will design and develop next-generation graph compiler technologies enabling efficient execution of advanced AI models on Neural Processing Units (NPUs) used in edge and embedded AI devices. In this role, you will work at the intersection of AI frameworks, graph optimization, and hardware acceleration, enabling efficient execution of neural networks on cutting-edge AI hardware.
You will work at the intersection of AI frameworks, compiler infrastructure, and hardware acceleration, helping translate high-level AI models into highly optimized executions on NPUs.
דרישות התפקיד
• BSc or MSc in Computer Science, Electrical Engineering, or a related field
• Proficiency in C++ and Python.
• 2–5 years of experience in systems software, AI software, embedded software, or other performance-critical development.
• Strong analytical skills, software fundamentals, including data structures, debugging, and performance optimization.
• Excellent interpersonal skills, flexibility, and a proactive “Can Do” attitude
Advantages:
• Experience with compiler or IR-based systems (e.g., LLVM, MLIR, domain-specific compilers).
• Experience with AI inference engines, runtimes, or model deployment pipelines.
• Familiarity with AI accelerators such as NPUs, GPUs, DSPs, or ASICs.
• Knowledge of reduced-precision numerical formats (FP16, BF16, INT8).