Senior Director of Compiler Engineering

Bangalore

We are seeking a Director of Compiler Engineering to lead the design, development, and delivery of the next-generation AI compiler and software stack powering our custom inference accelerators. This role combines deep compiler expertise, hands-on technical leadership, and organizational ownership across compiler, runtime, and QA teams to enable cutting-edge model deployment and performance.

Key Responsibilities

  • Technical Leadership: Define the compiler roadmap and architecture, driving innovation in graph compilation, lowering flows, and performance optimization.
  • New Model Enablement: Own end-to-end bring-up for new model families (e.g., Llama, MoE) from FX capture through runtime execution.
  • Frontend & IR Development: Oversee development of modules such as llama.py, ensuring alignment with compiler FX expectations. Lead FX graph transformations and lowering to EAI primitive dialect (pattern library).
  • Kernel & Ops Development: Direct kernel library integration, new kernel creation, and custom NPU RV ops to extend hardware capabilities.
  • Feature Ownership: Deliver compiler support for advanced features like device-to-device (D2D) communication and attention optimizations.
  • Cross-Team Collaboration: Partner with hardware, quantization, runtime teams to ensure feature completeness and performance parity across new models.
  • Quality & Execution: Establish robust QA, validation, and regression testing for compiler releases. Ensure timely, high-quality software delivery with focus on reliability and maintainability.
  • People Management: Build, mentor, and scale a high-performing team of compiler and software engineers.

Qualifications

  • 15+ years in compiler or systems software development, with 8+ years leading engineering teams.
  • Expertise in AI/ML graph compilers (e.g., Torch-MLIR, TVM, XLA, Torch-FX).
  • Strong understanding of neural network architectures, quantization, and hardware acceleration.
  • Proven success driving complex, cross-functional software initiatives from design to release.
  • Experience with MLIR/LLVM, hardware-software co-design, and open-source compiler contributions.
  • Exceptional leadership, communication, and collaboration skills.

Contact:

Uday

Mulya Technologies

[email protected]

"Mining The Knowledge Community"

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About EnCharge AI

EnCharge AI is a leader in advanced hardware and software systems for AI computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions, at a fraction of the cost. The high-performance architecture is coupled with seamless software and will enable the immense potential of AI to be accessible in power -, energy-, and space-constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems.

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