GPU Compute & MLIR Engineer
Location
India
Posted
2 days ago
Salary
₹2,000K - ₹10,000K / year
Seniority
Mid Level
Job Description
GPU Compute & MLIR Engineer
Weekday
Role Description We are looking for a highly skilled GPU Compute, MLIR Compiler, and Kernel Optimization Engineer with deep expertise in GPU compute, MLIR-based code generation, and end-to-end performance optimization for AI workloads. In this role, you will design, optimize, and deploy high-performance GPU compute kernels, build and extend MLIR compiler backends, and collaborate closely with ML, runtime, and hardware teams to push the limits of performance on modern GPU architectures. - Develop and optimize GPU compute kernels targeting OpenCL and Vulkan compute backends for high-throughput AI/ML workloads. - Design, build, and extend MLIR dialects across multiple abstraction levels—including frontend dialects, graph-level IR, tensor IR (e.g., Linalg, Tensor, TOSA), and runtime/low-level dialects—to enable efficient end-to-end model compilation. - Implement and maintain MLIR-based compiler passes and transformations, including tiling, fusion, bufferization, vectorization, and lowering pipelines targeting OpenCL and Vulkan GPU backends. - Conduct profiling and bottleneck analysis of compiled kernels using GPU counters and vendor-specific profilers, and drive performance improvements through compiler-level optimizations. - Build and maintain GPU runtime infrastructure for both OpenCL and Vulkan, including memory management, pipeline setup, command buffer orchestration, and resource scheduling. - Develop and extend code generation pipelines, enabling automatic lowering from tensor IR through MLIR to efficient OpenCL and Vulkan GPU kernels. - Implement performance-critical schedules—including tiling, loop fusion, parallelism, and caching strategies—within MLIR-based backends targeting OpenCL and Vulkan runtimes. - Collaborate with framework teams to optimize end-to-end model lowering for computer vision and LLM workloads using MLIR compilation stacks. - Design and implement robust compiler and runtime components using modern C/C++, leveraging advanced programming paradigms for high-performance systems. Qualifications - Strong hands-on experience with the MLIR framework, including authoring and extending custom dialects, writing compiler passes, and building end-to-end lowering pipelines. - Deep expertise across MLIR abstraction levels: - Frontend dialects – ingestion and representation of ML models (e.g., TOSA, StableHLO, ONNX-MLIR) - Graph-level IR – high-level operation fusion, shape inference, and graph transformations - Tensor IR level – structured operation representation using Linalg, Tensor, and Vector dialects; tiling and fusion strategies - Runtime/low-level dialects – Bufferization, MemRef, SCF, GPU, and LLVM dialects for final code generation - Strong hands-on experience in OpenCL programming, including kernel development, memory model, work-group/work-item optimization, and OpenCL runtime management. - Solid understanding of Vulkan compute programming, including descriptor management, compute pipelines, synchronization primitives, and Vulkan runtime internals. - Strong understanding of GPU architecture, memory hierarchies, and asynchronous compute. - Proficiency in C/C++ for system-level development. - Experience with kernel profiling and bottleneck analysis on GPU platforms. - Strong background in machine learning fundamentals, covering both Computer Vision (CV) and Large Language Model (LLM) workloads. Requirements - Must-have skills: gpu computing, MLIR, C/C++ - Good-to-have skills: vulkan, Kernel, OpenCL Benefits - Salary range: Rs 2000000 - Rs 10000000 (ie INR 20 - 100 LPA) - Min Experience: 3+ years - Location: India - Job Type: full-time
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