Manager, Deep Learning Algorithms
Nvidia
At a glance
AI generatedJoin NVIDIA as an Engineering Manager leading the development of next-generation large language model (LLM) and vision language model (VLM) inference software technologies on TensorRT. You will manage and grow a team focused on specialized kernel development, runtime optimizations, and frameworks for LLM inference, collaborating closely with researchers and GPU architects to deliver high-performance software for NVIDIA’s enterprise and edge hardware platforms. This role requires expertise in C++ or Python, deep knowledge of GPU architecture and CUDA programming, and experience leading distributed engineering teams. Ideal candidates have a background in LLM/VLM inference and familiarity with frameworks like TensorRT-LLM, vLLM, or SGLang, aiming to build scalable, user-friendly APIs that empower the AI ecosystem.
Skills
What you'll do
What we're looking for
Market check
This $184,000–$287,500 range sits above 62% of similar postings on FindRole.
Peer median band
$184,000–$262,800
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$196,750–$249,821
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has 802 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 798 roles with salary data.
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