This role pays more than
85%
of similar roles. Most pay
$167,900–$218,875
— the shaded band above.
At the midpoint, this role pays about
$248k
versus about
$193k
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 an Applied Research Engineer, Chip Design, you will join a team at the intersection of AI and ASIC design to drive applied research into real silicon production. You will apply large language models, coding agents, and agentic systems to core chip design problems including RTL generation, design and formal verification, and PPA prediction and optimization. Your daily work involves building robust data generation pipelines using synthetic data, creating meticulous evaluation methodologies, and wiring agentic AI into EDA and validation flows such as simulation, regression, and waveform analysis. You will utilize technologies like RL, RLHF/RLAIF, SFT, DPO, and infrastructure tools including Docker, Slurm, and CI/CD. The role focuses on solving technical challenges in front-end ASIC design by integrating advanced machine learning models into existing hardware development workflows to accelerate production schedules.