NVIDIA Machine Learning Engineer jobs
22 ML engineering reqs, 44 New College Grad reqs, and Level 2–3 base posted at $124K–$242K.
The Machine Learning Engineer (Level 2–3) role
NVIDIA ML and deep learning engineers build and optimize models and software for LLM safety, autonomous driving, chip design and GPU performance. Hiring is rolling per req with phone screens and a required onsite round, and the new-grad and internship pipeline is one of the deepest on this list.
No separate ML ladder — MLE sits in the engineering ladder with posted bands from Level 2 to Level 6, on teams such as AI Safety, Cosmos Engineering, Perception for Autonomous Driving, Accelerated Spark, AI DevTech and AI for VLSI; AI titles include Applied AI Engineer – VLSI Design, Senior Applied AI Engineer and Senior AI Engineer, AI tools.
NVIDIA ML engineer salary
Base: Machine Learning Engineer, AI Safety (posted Oct 6, 2026) lists $124,000–$195,500 at Level 2 and $152,000–$241,500 at Level 3, plus equity, and AI Developer Technology Engineer (Oct 2) lists the same. All-in: levels.fyi NVIDIA ML Engineer, US, 25th–75th percentile (n=15, mixed IC1–IC4; IC2 averages $211k on n=11 and IC3 $315k on n=9), Oct 2026 — a small sample.
See how NVIDIA compares in the full ML engineer salary guide →
How NVIDIA scores
Index score: 79/100. How we rank →
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