- Develop and optimize AI inference kernels using C/C++.
- Optimize kernels for different data types including INT8, INT16, BF16, and FP32.
- Perform SIMD/vectorization, Intrinsics, Memory optimization, and Performance tuning.
- Profile and analyze application performance to identify optimization opportunities.
- Debug and resolve functional and performance issues.
- Integrate optimized kernels into the AI inference pipeline.
- Work closely with hardware and software teams to improve overall inference

Performance.

Requirements

- Valuable knowledge of C/C++ programming.
- Basic understanding of AI/Deep Learning models and inference.
- Experience with DSPs, hardware accelerators, or similar compute platforms.
- Knowledge of SIMD/vectorization, Intrinsics, and low-level software optimization.
- Good profiling, debugging,



and performance analysis skills.
- Understanding of computer architecture and memory optimization is an advantage.

Preferred Experience
- Experience in AI/ML inference optimization.
- Experience with C7x DSP, HWA-MMA, or similar hardware accelerators.
- Knowledge of different numerical data types such as INT8, INT16, BF16, FP32.
- Familiarity with performance profiling and benchmarking tools

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📌 AI/DSP Kernel Optimization Engineer (Chennai)
🏢 MulticoreWare
📍 Chennai