Software Engineering Manager, AI Kernel Responsibilities:

• Grow a team of domain experts in high performance DL kernel development.
• 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 on ongoing software development activities in the team, help work through technical challenges, and be involved in design decisions.

Minimum Qualifications:

• Experience with deep learning kernel development on CPU, GPU or AI accelerators
• 2 years of experience in managing a team of kernel engineers of varied skill levels.
• Experience with cross functional collaboration with hardware or AI framework/compiler teams.
• Demonstrated experience recruiting, building, structuring, leading technical organizations, including performance management.

Preferred Qualifications:

• Experience in accelerating libraries on AI hardware, similar to cuBLAS, cuDNN, CUTLASS, HIP, ROCm etc
• Experience with different programming models for high-performance computations, e.g. GPU CUDA programming or OpenCL or OpenMP programming.
• Experience working closely with hardware architectures such as Intel SIMD, GPU, RISC-V, ML Accelerators etc.
• Experience in hardware-software development environments such as simulators, FPGA emulators etc
• Knowledge of ML frameworks like PyTorch, TensorFlow, ONNX, MXNet, etc.

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