Lead AI Compiler/Framework VulkanEngineer

Develop and optimize Vulkan compute kernels using GLSL/SPIR‑V for high‑throughput AI/ML workloads. Conduct profiling and bottleneck analysis of Vulkan kernels using tools such as GPU counters, and vendor‑specific profilers. Build and maintain Vulkan runtime infrastructure, including descriptor management, pipeline setup, command buffer orchestration, and resource scheduling. Develop and extend SPIR‑V IR builders and code generation pipelines, enabling automatic lowering from tensor IR to efficient GPU kernels. Implement performance‑critical schedules (tiling, fusion, parallelism, caching) for Vulkan backends. Collaborate with framework teams to optimize end‑to‑end model lowering for computer vision and LLM workloads. Design and implement robust compiler/runtime components using modern C/C++, leveraging advanced programming paradigms for high‑performance systems. Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. Strong hands‑on experience in Vulkan compute programming, GLSL/SPIR‑V, and GPU performance optimization. Deep understanding of GPU architecture, memory hierarchies, and async compute. Experience with Vulkan runtime internals, SPIR‑V tools, and compiler IR pipelines. Proficiency in C/C++ for system level development. Good to have experience on AI compilers (TVM/MLIR/LLVM/XLA) including tensor IR, scheduling, and code generation. Strong background in machine learning fundamentals, covering both CV and LLM workloads. Experience with kernel profiling and bottleneck analysis on GPU platforms.