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This listing was closed on Jul 24, 2026.
Browse Open JobsSenior Deep Learning Software Engineer, LLM Performance
Summary by AIEngineer.careers
Senior Deep Learning Software Engineer, LLM Performance is a AI Engineer role (full-time). with NVIDIA. in REMOTE, WORLDWIDE. Compensation shown: $184K–$357K. Imported listing (source: mediabistro.com). Apply on the employer's site (mediabistro.com).
Imported listing (source: mediabistro.com) · Apply on mediabistro.com
REMOTE · WORLDWIDE
$184K–$357K
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from mediabistro.com
NVIDIA is seeking a Senior Deep Learning Software Engineer to optimize the performance of LLM inference. The role involves developing GPU-accelerated software like TensorRT and Triton, collaborating with cross-functional teams, and contributing to open-source frameworks.
Responsibilities
- Performance optimization, analysis, and tuning of LLM, VLM and GenAI models for DL inference, serving and deployment in NVIDIA/OSS LLM frameworks. Scale performance of LLM models across different architectures and types of NVIDIA accelerators. Scale performance for max throughput, minimum latency and throughput under latency constraints. Contribute features and code to NVIDIA/OSS LLM frameworks, inference benchmarking frameworks, TensorRT, and Triton. Work with cross-collaborative teams across generative AI, automotive, image understanding, and speech understanding to develop innovative solutions.
Requirements
- Bachelors, Masters, PhD, or equivalent experience in relevant fields (Computer Engineering, Computer Science, EECS, AI). At least 8 years of relevant software development experience. Excellent Python/C/C++ programming, software design and software engineering skills. Experience with a DL framework like PyTorch, JAX, TensorFlow.
NVIDIA
Santa Clara · US · 36410+ employees
NVIDIA is a pioneer in accelerated computing that invented the GPU, sparking the growth of modern AI and computer graphics. It is now a full-stack computing company providing data-center-scale offerings.
