As an Applied AI Engineer at our cutting-edge technology firm, you will join a cross-disciplinary team dedicated to developing intelligent systems that enhance timing and constraint analysis workflows. Your primary responsibilities include architecting and implementing AI-driven solutions for static timing, constraints quality, and closure prediction by integrating diverse data sources into training pipelines and developing autonomous agents that interact with leading EDA tools like PrimeTime and Tempus. You will also work on scalable orchestration across Flow-Server and Digital Engineer platforms to enable AI-in-loop decision-making, collaborating closely with methodology and sign-off teams for model validation in live projects. Essential skills include a strong background in VLSI/ASIC design, proficiency in Python, PyTorch/TensorFlow, and graph or agentic AI frameworks, as well as experience with timing tools and scripting integration within EDA environments.
Skills
Python
PyTorch
TensorFlow
LangGraph
LangChain
Ray
NetworkX
PrimeTime
Nanotime
Tempus
CI/CD
EDA
VLSI
ASIC
STA
Knowledge Graphs
Process Models
Multi-Agent Systems
Graph Neural Networks
Large Language Models
What you'll do
Architect and develop AI-driven solutions for static timing and constraint analysis workflows.
Integrate diverse data sources into structured knowledge bases for training pipelines.
Develop autonomous agents that interact with timing tools for optimization and debugging.
Implement scalable orchestration across platforms enabling AI-in-loop decision-making.
Build interpretable AI pipelines using graph neural networks and large language models.
Be responsible for the end-to-end lifecycle of AI solutions in production environments.
What we're looking for
BS in Electrical/Computer Engineering with 12+ years of AI/ML solution development experience in EDA or similar complex data domains.
Deep expertise in VLSI/ASIC design, including timing, constraints, STA, and sign-off workflows.
Proficiency in Python, PyTorch/TensorFlow, graph neural networks, and agentic AI frameworks.
Experience developing data pipelines, knowledge graphs, and process models for structured engineering data.
Working knowledge of EDA timing tools (PrimeTime, Nanotime, Tempus) and scripting integration.
Strong problem-solving skills with a focus on experimentation and continuous learning in AI-driven systems.
Market check
Salary context
This
$196,000–$310,500
range sits above
85%
of similar postings on FindRole.
Peer median band
$170,400–$257,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$165,852–$246,150
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
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
801 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 797 roles with salary data.