Senior Design Automation Engineer, Applied Ai

Nvidia Corporation

Multiple Locations
Base: 196,000 usd - 310,500 usd (level 5); 232,000...
On-site
Ai-driven solutions for timing
Data pipelines for structured data
Autonomous analysis agents
NVIDIA is seeking a Senior Design Automation Engineer specializing in Applied AI to lead the development of AI-driven solutions for timing and constraint analysis workflows. The role requires extensive experience in AI/ML solution development within semiconductor or EDA domains, along with strong proficiency in VLSI/ASIC design principles

Job Summary

  • Architect and develop AI-driven solutions for static timing, constraints quality, and closure prediction.
  • Integrate heterogeneous data sources into structured knowledge bases and training pipelines.
  • Collaborate with methodology and sign-off teams to validate models on live projects, improving coverage, predictability, and engineering productivity.

Matching Summary

Match Score: 85

NVIDIA is seeking a Senior Design Automation Engineer specializing in Applied AI to lead the development of AI-driven solutions for timing and constraint analysis workflows. The role requires extensive experience in AI/ML solution development within semiconductor or EDA domains, along with strong proficiency in VLSI/ASIC design principles.

Salary

Base: 196,000 USD - 310,500 USD (Level 5); 232,000 USD - 368,000 USD (Level 6); Bonus/Equity: Not specified; Benefits: Comprehensive benefits package

Skills & Requirements

Must-have

  • AI-driven solutions for timing
  • data pipelines for structured data
  • autonomous analysis agents
  • scalable orchestration across platforms
  • interpretable AI pipelines
  • end-to-end lifecycle management

Nice-to-have

  • constraint validation
  • false-path detection
  • AI in physical design automation
  • open-source contributions
  • publications or patents

Key Requirements

  • BS (or equivalent experience) in Electrical or Computer Engineering
  • 12+ years of experience in AI/ML solution development
  • Strong background in VLSI/ASIC design
  • Proficiency in Python, PyTorch/TensorFlow
  • Experience with graph or agentic AI frameworks
  • Working knowledge of timing tools

Work Rights

Not specified

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