5+ years of experience.
MSc or PhD in CS, EE, or CSEE or equivalent experience.
Strong background in Deep Learning.
Strong programming skills in Python and PyTorch.
Experience with inference optimization techniques (such as quantization) and inference optimization frameworks, one of: TensorRT, TensorRT-LLM, vLLM, SGLang.
Familiarity with deploying Deep Learning models in production settings (e.g., Docker, Triton Inference Server).
CUDA programming experience.
Familiarity with diffusion models.
Proven experience in analyzing, modeling, and tuning the performance of GPU workloads, both inference and training.

Applicant Tracking System Keywords

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

Hard Skills & Tools

Deep LearningPythonPyTorchinference optimization techniquesquantizationTensorRTTensorRT-LLMvLLMSGLangCUDA programming

Certifications

MSc in Computer SciencePhD in Computer ScienceMSc in Electrical EngineeringPhD in Electrical EngineeringMSc in Computer Systems EngineeringPhD in Computer Systems Engineering