below marketmost similar roles pay hereabove market
This role pays more than
80%
of similar roles. Most pay
$167,975–$231,150
— the blue band above.
At the midpoint, this role pays about
$248k
versus about
$200k
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
1623 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1110 roles with salary data.
The Applied Research Engineer, Chip Design joins the team to drive applied research at the intersection of AI and ASIC design. This role involves applying large language models, coding agents, and agentic systems to core ASIC design problems including RTL generation, design and formal verification, and PPA prediction and optimization. You will build robust data generation systems, including synthetic data, and wire coding agents into EDA and validation flows for simulation, regressions, and log analysis. Key technologies include LLMs, RL, RLHF/RLAIF, post-training, and production ML systems, alongside infrastructure tools like Docker, Slurm, and CI/CD. The work focuses on improving chip design flows by integrating domain-specific data and feedback into models to accelerate ASIC team activities and move from prototype to production.
Device Physics
Electrical Characterization
Statistical Process Control
Design of Experiments
Python
SQL
C/C++
MATLAB
JMP
Perl
TCL
Machine Learning
Deep Learning
Retrieval-Augmented Generation
Data Mining
Circuit Simulation
Process Design Kit