We are looking
for an AI/DSP Kernel Optimization Engineer to develop and optimize AI inference
kernels, analyze application performance, and integrate optimized kernels into
AI inference pipelines. The role involves low-level C/C++ optimization,
SIMD/vectorization, profiling, debugging, and close collaboration with hardware
and software teams to improve overall inference performance.

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
Education:

B.E.,
B.Tech., M.E., M.Tech., or equivalent.

Technical Skills (Must haves):





• 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.

Need to have (Can be bridged):

• Understanding of computer architecture and memory
optimization.

Positive to have (Not essential):

• Experience in AI/ML inference optimization.

• Knowledge of different numerical data types such
as INT8, INT16, BF16, and FP32.

• Familiarity with performance profiling and
benchmarking tools.

Preferred Qualifications (Optional):

• Experience with C7x DSP, HWA-MMA, or similar
hardware accelerators.

• Hands-on experience optimizing inference
workloads for DSPs or specialized compute platforms.

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