Join our dynamic team as a Senior DL Algorithms Engineer, focusing on optimizing large language models and omni models for peak performance. You will enable state-of-the-art open-source models like Nemotron and Cosmos on NVIDIA’s accelerated inference software stack, contributing to frameworks such as TRT-LLM and vLLM by profiling bottlenecks and delivering production code. Your role involves benchmarking competitive offerings and collaborating with partner teams to develop next-generation AI services. Ideal candidates have a PhD in CS, EE, or CSEE, 3+ years of experience, and expertise in deep learning inference, performance optimization for GPU-based applications, and proficiency in PyTorch or similar frameworks. Strong skills in computer architecture, GPU programming (CUDA/OpenCL), and algorithm fundamentals are essential for this fast-paced environment at the forefront of AI innovation.
Skills
PyTorch
NVIDIA_TRT-LLM
vLLM
SGLang
FlashInfer
GPU_architecture
CUDA
OpenCL
Deep_Learning
Neural_Networks
Performance_profiling
HPC
Computer_Architecture
Python
C++
What you'll do
Enable and optimize state-of-the-art open models on NVIDIA’s accelerated inference software stack.
Contribute new features, fix bugs, and deliver production code to open-source deep learning frameworks.
Profile and analyze bottlenecks across the full inference stack to enhance performance.
Benchmark state-of-the-art offerings and perform competitive analysis for NVIDIA’s SW/HW stack.
Co-design next-generation AI models and services with partner teams.
What we're looking for
PhD in CS, EE, CSEE or equivalent 3+ years of relevant industry experience.
Expertise in deep learning and neural networks, focusing on inference optimization.
Proficiency in performance profiling, analysis, and optimization for GPU-based applications.
Strong background in computer architecture, including GPU fundamentals.
Experience with processor and system-level performance optimization techniques.
Familiarity with modern LLM/Diffusion architectures and open-source frameworks.
Market check
Salary context
This
$152,000–$241,500
range sits above
39%
of similar postings on FindRole.
Peer median band
$166,000–$253,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$182,125–$238,250
Middle half of comparable postings.
Based on 239 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Nvidia
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
801 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 797 roles with salary data.