analyze, profile, and optimize AI models with a focus on GPU performance and efficiency using both pre- and post-silicon tools
develop and maintain components of the AI software stack in Python and C++
implement, tune, and optimize GPU kernels using parallel programming languages and frameworks
produce clear and comprehensive documentation for codebases, performance findings, and analysis workflows

Requirements

Bachelor's degree in CS, CE, mathematics, Physics, or any other related filed
5+ years of experience in/With: Programming skills in C++ and Python
hands-on experience with major AI frameworks (e.g., PyTorch, TensorFlow, OpenVINO)
Practical, hands-on experience in performance analysis across AI hardware accelerators, GPUs, or heterogeneous computing architectures
prior experience in kernel programming for GPUs or similar architectures (CUDA, OpenCL, threading, multiprocessing)
expertise in pre-silicon GPU performance simulation, debugging performance bottlenecks, and analyzing architectural behavior
experience with version control systems such as Git and collaborative development workflows.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonC++AI frameworksPyTorchTensorFlowOpenVINOGPU programmingCUDAOpenCLperformance analysis