Heterogeneous Computing Expert - High-Performance AI Deploy

Pinnacle Lead Consulting Limited; Hong Kong; On-site; HKD 900,000 - 1,100,000; Full time

Job summary

Pinnacle Lead Consulting Limited is seeking a Heterogeneous Computing Expert to advance AI platforms. You will collaborate with deep learning engineers to optimize software/hardware co-design and accelerate computer vision and speech models on CPU, GPU, DSP and embedded chips.

The role requires 5+ years of C/C++ development, hands-on heterogeneous programming (e.g., CUDA, OpenCL, OpenGL), familiarity with common DL models and platforms, and experience with compilers like TVM, Glow and LLVM.

Qualifications

• Solid computer foundation with knowledge of computer architecture and parallel computing basics.
• 5+ years of C/C++ development experience, proficient in at least one heterogeneous programming language (CUDA/OpenCL/OpenGL).
• Familiar with common deep learning models and algorithms across x86/ARM CPUs, GPUs and embedded chips with platform tuning.
• CV/image processing transplantation experience on diverse hardware; exposure to compilers such as TVM, Glow, LLVM is a plus.
• Strong interest in high-performance and heterogeneous computing, and performance optimization.

Responsibilities

• Collaborate with deep learning engineers to realize software/hardware joint optimization and acceleration for computer vision and speech models on CPU, GPU, DSP, and embedded chips.
• Complete architecture optimization plans for image and ML algorithms on embedded devices and supervise final product-level optimization results.
• Design and implement high-performance algorithms and cross-platform scheduling to enable one-click deployment of models to specific computing platforms.

Skills

C/C++ development

Heterogeneous programming

Tools

CUDA

OpenCL

OpenGL

TVM

Glow

LLVM

Job description

Pinnacle Lead Consulting Limited is seeking a Heterogeneous Computing Expert to advance AI platforms. You will collaborate with deep learning engineers to optimize software/hardware co-design and accelerate computer vision and speech models on CPU, GPU, DSP and embedded chips.

The role requires 5+ years of C/C++ development, hands-on heterogeneous programming (e.g., CUDA, OpenCL, OpenGL), familiarity with common DL models and platforms, and experience with compilers like TVM, Glow and LLVM.