This role pays more than
94%
of similar roles. Most pay
$146,500–$195,891
— the shaded band above.
At the midpoint, this role pays about
$248k
versus about
$171k
for comparable roles.
Based on 240 similar postings.
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
896 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 876 roles with salary data.
As a Senior Research Engineer - Enterprise Products, you will join a team dedicated to developing optimized inferencing technologies for generative AI models across the machine learning lifecycle. Your daily responsibilities include designing and evaluating routing policies for LLM traffic within mixture of model systems, building agentic benchmarks like Terminal-Bench to measure algorithm quality, and creating calibration data and routing profiles. You will contribute to open-source repositories through design docs, code reviews, and community engagement while collaborating with internal engineering teams to ensure seamless software integration across the accelerated serving stack. The role requires expertise in PyTorch or TensorFlow, deep neural networks, natural language processing, and speech recognition. You must possess strong computer science fundamentals in algorithms, data structures, and distributed computing, alongside experience in CUDA programming and large-scale distributed systems for deep learning.