Senior AI Compiler Engineer

5 days ago


Mumbai, Maharashtra, India Wenger & Watson Inc. Full time

We are seeking a highly skilled Senior AI Compiler Engineer to join our team at Wenger & Watson Inc.

About the Role

This is a critical position that requires expertise in developing and supporting new AI/ML compiler features and technologies to accelerate deep learning models. You will work closely with AI hardware accelerator teams to add support for compiler features covering optimization algorithms, code generation, etc., to fully utilize hardware features for maximum efficiency.

As a Senior AI Compiler Engineer, you will be responsible for:

  • Developing an end-to-end ML compiler leveraging standard compiler infrastructures like TVM, MLIR, Torch Dynamo/Inductor, taking advantage of both intra-operator parallelism and graph/pipeline/dataflow parallelism while mapping to hardware compute/processing elements of custom AI accelerators.
  • Implementing low-level parallel programming models for development/deployment of high-performance kernels fully utilizing hardware capabilities.
  • Adapting advanced techniques/algorithms for placement/scheduling and parallelization of model graphs to improve performance of ML applications optimizing execution speed and resource utilization.
  • Generating code using LLVM for the AI accelerator compute elements/cores of targeted ISA with custom instructions.
  • Debugging and profiling features of the compiler to identify issues and performance hotspots.

You will also own responsibility throughout the product lifecycle in solving functional/performance issues during the execution phase and work closely with the hardware architecture team for efficient HW/SW co-design of AI accelerator IP and overall AI server-class SoC.

About You

To be successful in this role, you should have:

  • A minimum of 12+ years of relevant experience in AI/ML.
  • Deep practical experience of developing end-to-end ML compilers with any AI accelerator architecture (GPU/ASIC/many-core heterogeneous).
  • Good experience handling complex hierarchies of compute elements and memories of hardware accelerators and their mapping in backend compilers for efficient power/performance.
  • Very good knowledge in any one of compiler frameworks like TVM, MLIR, Torch Dynamo/Inductor or equivalent.
  • Good knowledge on SOTA generative AI model architectures like LLM and model optimization techniques is helpful.
  • Good knowledge on popular ML framework ecosystems (PyTorch/TensorFlow/ONNX).
  • High proficiency in C/C++, Python, domain-specific languages, and parallel programming languages like OpenCL/CUDA.
What We Offer

We offer a competitive salary range of $180,000 - $250,000 per year, making us one of the top-paying companies in the industry.



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