AI/DSP Kernel Optimization Engineer

Job Information

• Department Name Platforms & Compilers
• Date Opened 10/09/2026
• Job Type Full time
• Minimum Experience In Years 2
• Industry Software Development
• Maximum Experience In Years 6
• City Chennai
• Province Tamil Nadu
• Country India
• Postal Code 600089

About Us

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

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