Senior Design Automation Engineer, Applied AI

NVIDIA
Santa Clara, Austin
Workplace: OnsiteFull timeUSD 196,000 - 368,000 annuallyFunction: QA, Test & Release EngineeringExperience: 12+ yearsEducation: bachelorsSkills: ["Problem-solving","Analytical thinking","Collaboration"]

Lead end-to-end AI-driven design-automation work for timing and constraint analysis in a semiconductor/EDA context. Architect data-driven solutions, integrate diverse data sources, and build autonomous agents that interact with timing tools to enable AI-informed sign-off and faster, more predictable closure across multiple locations.

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FursaFursa
NVIDIA
NVIDIA
4 months ago

Senior Design Automation Engineer, Applied AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Lead end-to-end AI-driven design-automation work for timing and constraint analysis in a semiconductor/EDA context. Architect data-driven solutions, integrate diverse data sources, and build autonomous agents that interact with timing tools to enable AI-informed sign-off and faster, more predictable closure across multiple locations.
Location: Santa Clara, Austin
Workplace: Onsite
Employment Type: Full time
Job Function: QA, Test & Release Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Architect and develop AI-driven solutions for static timing, constraints quality, and closure prediction.
  • •Integrate heterogeneous data sources — timing reports, constraint graphs, design metadata, silicon correlation — into structured knowledge bases and training pipelines.
  • •Develop autonomous analysis agents that interact with timing tools (e.g., PrimeTime, Nanotime, Tempus) to perform multi-corner, multi-mode optimization and constraint debugging.
  • •Implement scalable orchestration across Flow-Server and Digital Engineer platforms, enabling AI-in-loop decision-making for sign-off readiness.
  • •Collaborate with methodology and sign-off teams to validate models on live projects, improving coverage, predictability, and engineering productivity.

Pay and Benefits

Salary: USD 196,000 - 368,000 annually
Equity and Bonus:Equity

Key Requirements

  • •12+ years of experience in AI/ML solution development, ideally for EDA, semiconductor, or complex data domains
  • •Strong background in VLSI/ASIC design with deep understanding of timing, constraints, STA, or sign-off workflows
  • •Proficiency in Python, PyTorch/TensorFlow, and graph or agentic AI frameworks (e.g., LangGraph, LangChain, Ray, NetworkX)
  • •Experience developing data pipelines, knowledge graphs, or process models for structured engineering data
  • •Working knowledge of timing tools (PrimeTime, Nanotime, Tempus) and scripting integration with EDA environments
Experience:12+ yearsEDASemiconductorAI
Education:Bachelor's in Electrical or Computer Engineering
Skills:Problem-solvingAnalytical thinkingCollaboration
Tech Stack:PythonPyTorchTensorFlowLangGraphLangChainRayNetworkXPrimeTimeNanotimeTempus

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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