This role pays less than
72%
of similar roles. Most pay
$152,875–$237,012
— the shaded band above.
At the midpoint, this role pays about
$153k
versus about
$195k
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.
Applied Machine Learning Engineer, Circuit Design - New College Grad 2026 will join a multi-functional team building AI-driven software systems for circuit design. This role focuses on accelerating end-to-end design automation by combining automation algorithms, deep learning models, and agentic workflows. You will work with pre-silicon and post-silicon hardware data, perform circuit optimization, conduct SPICE correlation, and develop applications for silicon data analysis, manufacturing process variation, VLSI circuit design, and timing. Responsibilities include translating requirements into machine learning problems, architecting solutions, analyzing datasets to extract features, and building self-improving workflows to reach desired quality of results. The role requires proficiency in Python and C++, with specific knowledge in circuit design, VLSI, ASIC, or EDA. Preferred skills include experience with PyTorch, LangChain, LangGraph, and developing agentic systems for design-space exploration and autonomous optimization loops.
Circuit Design
Mixed-Signal
Analog
Digital
Spice
Static Timing Analysis
EM/IR Analysis
RTL
Logic Synthesis
Place and Route
DFT
Perl
Tcl
Make
Automated Tools
Transistor-level Analysis