Job Title: AI/DSP Kernel Optimization Engineer

Job Location: Bangalore for first 3 to 4 months and then hybrid mode

Experience: 2+ years

Job Type: Full-Time

Responsibilities:

• 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:

• Good 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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