Senior Design Automation Engineer, Applied AI

We are seeking an Applied AI Engineer to lead end-to-end solution development - spanning data generation, model training, orchestration, and agentic automation - for timing and constraint analysis workflows. You will be part of a cross-disciplinary team building intelligent systems that learn from sign-off data, reason across flows, and assist engineers in achieving faster and more predictable closure.

- 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.

- BS (or equivalent experience) in Electrical or Computer Engineering with 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 with AI orchestration frameworks, reasoning based on prompts, and multi-agent automation is highly desirable.

- Strong problem-solving skills, technical depth, and a mentality for experimentation and continuous learning.

- 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

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 196,000 USD - 310,500 USD for Level 5, and 232,000 USD - 368,000 USD for Level 6.

Applications for this job will be accepted at least until July 4, 2026.