Applied Machine Learning Engineer, Circuit Design - New College Grad 2026
Nvidia
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How this pay compares to similar roles
This role pays less than 69% of similar roles. Most pay $177,250–$246,150 — the shaded band above. At the midpoint, this role pays about $191k versus about $212k for comparable roles.
Based on 239 similar postings.
Employer
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 563 open roles on FindRole.
Listed pay typically runs $168,000–$264,500 across 556 roles with salary data.
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At a glance
Join our cutting-edge team as a Senior AI Engineer specializing in circuit design automation, where you will collaborate on projects involving pre-silicon and post-silicon hardware data, circuit optimization, SPICE correlation, and AI systems for EDA. Your daily tasks include translating requirements into data science problems, architecting solutions, testing models, and integrating them with existing tools like PyTorch and LangChain. You’ll analyze datasets, build self-improving workflows, and optimize algorithms to enhance quality of results. Ideal candidates hold an MS/PhD in Electrical/Computer Engineering or related fields, with 4+ years of experience in circuit design, VLSI, EDA, and AI-driven systems. Proficiency in Python and C++, along with a track record of building agentic systems for autonomous optimization, is essential.
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