NVIDIA · 2 days ago
Senior Timing CAD Engineer, Applied AI
Santa Clara, CA
Full-time
Onsite
Mid, Senior Level
$136K/yr - $218K/yr
3+ years expNVIDIA is a leading technology company known for its innovation in GPUs and AI. They are seeking a Senior Timing CAD Engineer to lead the development of AI-driven solutions for timing and constraint analysis workflows, collaborating with cross-disciplinary teams to enhance design closure processes.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
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
Build interpretable AI pipelines using graph neural networks, large language models, and process-aware reasoning engines for timing closure recommendations
Be responsible for the end-to-end lifecycle— from data curation and model training to deployment, monitoring, and continuous improvement in production environments
Qualification
Required
BS (or equivalent experience) in Electrical or Computer Engineering with 3 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
Strong problem-solving skills, technical depth, and a mentality for experimentation and continuous learning
Preferred
Experience with AI orchestration frameworks, reasoning based on prompts, and multi-agent automation is highly desirable
Experience with constraint validation, false-path detection, and timing-exception modeling
Prior exposure to AI in physical design automation, Silicon/process modeling, or EDA flow automation
Contributions to open-source AI or flow automation projects
Publications or patents in AI for design automation or semiconductor engineering
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
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2026-01-09
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2026-01-09
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