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NVIDIA

Senior Deep Learning Algorithms Engineer

NVIDIA

. Integrate TensorRT-LLM for BioNeMo models.

Posted 4/21/2026full-timeHo Chi Minh City • 🇻🇳 VietnamSeniorWebsite

Tech Stack

Tools & technologies
PythonPyTorchTensorflow

About the role

Key responsibilities & impact
  • Integrate TensorRT-LLM for BioNeMo models.
  • Optimize models for low-latency, high-throughput inference.
  • Profile and debug deep learning workloads on GPUs.
  • Develop and validate custom GPU kernels for hot paths.
  • Collaborate with research to align model architecture and training.

Requirements

What you’ll need
  • MS/PhD in CS, EE, Comp. Eng., or equivalent practical experience.
  • 5+ years professional experience in deep learning/applied ML.
  • Strong foundation in transformer/diffusion architectures.
  • Direct experience with LLMs, VLMs, or large biology models.
  • Proficient in PyTorch and/or TensorFlow.
  • Strong Python/C++ skills.
  • Practical experience with TensorRT/TensorRT-LLM.

Benefits

Comp & perks
  • Health insurance
  • Professional development
  • Flexible working hours

ATS Keywords

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Hard Skills & Tools
deep learningapplied MLtransformer architecturediffusion architectureLLMsVLMsPyTorchTensorFlowPythonC++
Certifications
MSPhD