AI/DSP Kernel Optimization Engineer

Zoho; Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

MulticoreWare, a global software solutions company, is seeking an AI/DSP Kernel Optimization Engineer to develop and optimize AI inference kernels and improve overall performance. You will work on low-level C/C++ optimization, SIMD/vectorization, and profiling, collaborating with hardware and software teams to push efficiency across platforms.

The role requires a strong foundation in C/C++, AI/DL basics, and experience with DSPs or hardware accelerators.

Qualifications

• B.E., B.Tech., M.E., M.Tech. or equivalent degree.
• Strong knowledge of C/C++ programming.
• Experience with DSPs or hardware accelerators.
• Knowledge of SIMD/vectorization, intrinsics, and low-level optimization.
• Good profiling and debugging skills.

Responsibilities

• Develop and optimize AI inference kernels using C/C++.
• Optimize kernels for data types such as INT8, BF16, FP32.
• Perform SIMD/vectorization and memory optimization.
• Profile, debug, and improve inference performance.
• Integrate kernels into AI inference pipelines with hardware teams.

Skills

C/C++ programming

AI/Deep Learning basics

Performance profiling

Education

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

Tools

DSPs

Hardware accelerators

SIMD intrinsics

Job description

MulticoreWare is a global software solutions & products company with its HQ in San Jose, CA, USA. With worldwide offices, it serves its clients and partners in North America, EMEA and APAC regions. Started by a group of researchers, MulticoreWare has grown to serve its clients and partners on HPC & Cloud computing, GPUs, Multicore & Multithread CPUS, DSPs, FPGAs and a variety of AI hardware accelerators.

MulticoreWare was founded by a team of researchers that wanted a better way to program for heterogeneous architectures. With the advent of GPUs and the increasing prevalence of multi-core, multi-architecture platforms, our clients were struggling with the difficulties of using these platforms efficiently.

We started as a boot-strapped services company and have since expanded our portfolio to span products and services related to compilers, machine learning, video codecs, image processing and augmented/virtual reality. Our hardware expertise has also expanded with our team; we now employ experts on HPC and Cloud Computing, GPUs, DSPs, FPGAs, and mobile and embedded platforms. We specialize in accelerating software and algorithms, so if your code targets a multi-core, heterogeneous platform, we can help.

Job Description

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

Responsibilities:

• Develop and optimize AI inference kernels usingC/C++.
• Optimize kernels for different data types,including INT8, INT16, BF16, and FP32.
• Perform SIMD/vectorization, intrinsics, memoryoptimization, and performance tuning.
• Profile and analyze application performance toidentify optimization opportunities.
• Debug and resolve functional and performanceissues.
• Integrate optimized kernels into the AI inferencepipeline.
• 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 modelsand inference.
• Experience with DSPs, hardware accelerators, orsimilar compute platforms.
• Knowledge of SIMD/vectorization, intrinsics, andlow-level software optimization.
• Good profiling, debugging, and performanceanalysis skills.

Need to have (Can be bridged):

• Understanding of computer architecture and memoryoptimization.

Good to have (Not essential):

• Experience in AI/ML inference optimization.
• Knowledge of different numerical data typessuchas INT8, INT16, BF16, and FP32.
• Familiarity with performance profiling andbenchmarking tools.

Preferred Qualifications (Optional):

• Experience with C7x DSP, HWA-MMA, or similarhardware accelerators.
• Hands-on experience optimizing inferenceworkloads for DSPs or specialized compute platforms.