Software Engineering Manager, AI Compiler Responsibilities:

• Grow a team of domain experts in ML compilation for deep learning hardware acceleration targets.
• Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects.
• Operate strategically and tactically. Develop vision, strategy, and help set direction for the team.
• Remain up to date with ongoing software development activities in the team, help work through technical challenges, and be involved in design decisions.
• Build a collaborative, high-performing team culture focused on delivering outcomes against aggressive goals.

Minimum Qualifications:

• Bachelors or above in Computer Science or Electronics Engineering or an equivalent field
• Experience with software toolchain development for deep learning acceleration on CPU, GPUs, or AI accelerators
• Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, LLMs, etc.
• Experience with a mainstream machine-learning framework, e.g. PyTorch, Tensorflow or Caffe
• 1 years of experience in leading a team of software engineers of varied skill levels
• Experience with cross-functional collaboration with hardware or AI framework teams.
• Knowledge of computer algorithms and experience crossing multi-disciplinary boundaries to drive optimal system solutions

Preferred Qualifications:

• Masters or above in Computer Science or Electronics Engineering or an equivalent field
• Experience in accelerating libraries on AI hardware, similar to cuBLAS, cuDNN, CUTLASS, HIP, ROCm, etc.
• Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, GCC, MSVC, Glow
• Experience with machine-code generation / compiler back-ends

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