Senior Applied AI and AI Infrastructure Engineer - Chip Design and DFX
Nvidia
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How this pay compares to similar roles
This role pays more than 74% of similar roles. Most pay $172,500–$237,175 — the shaded band above. At the midpoint, this role pays about $236k versus about $205k for comparable roles.
Based on 240 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 994 open roles on FindRole.
Listed pay typically runs $168,000–$270,250 across 977 roles with salary data.
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At a glance
As a Senior Software Engineer on our cutting-edge team, you will develop an AI agent that integrates machine learning models to enhance VLSI design processes. Your daily tasks include creating and integrating AI agents to optimize efficiency and quality, collaborating on the design of algorithms and software tools for AI integration, analyzing data to inform AI-driven methodologies, and staying updated with advancements in ML and VLSI build. The role requires a strong background in computer science or electrical engineering, 6+ years of experience building AI systems, proficiency in Python and modern ML frameworks like PyTorch and TensorFlow, and expertise in software development methodologies including version control and CI/CD. Experience with Large Language Models and innovative problem-solving skills are highly valued.
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