11 Sep
|
Qualcomm
|
Bengaluru
11 Sep
Qualcomm
Bengaluru
Company:
Qualcomm India Private Limited
Job Area:
Engineering Group, Engineering Group > Systems Engineering
General Summary:
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 contemporary GPU architectures.
Key Responsibilities
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 — 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
📌 GPU Compute (Bengaluru)
🏢 Qualcomm
📍 Bengaluru