# Senior Design Automation Engineer, Applied AI

**Company**: NVIDIA
**Location**: Santa Clara
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Salary**: $100,000–$150,000
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Design-Automation-Engineer--Applied-AI_JR2014684?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_0da1b7b9-0f7

## Description

We are seeking an Applied AI Engineer to lead end-to-end solution development 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.

**Responsibilities:**

- 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.

- Develop autonomous analysis agents that interact with timing tools 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.

**Requirements:**

- 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.

- 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.

**Benefits:**

- Widely considered to be one of the technology world's most desirable employers.

- Highly competitive salaries and a comprehensive benefits package.

- Eligible for equity and benefits.

## Skills

### Required
- Python
- PyTorch
- TensorFlow
- graph neural networks
- large language models
- process-aware reasoning engines
- VLSI/ASIC design
- timing
- constraints
- STA
- sign-off workflows
- data pipelines
- knowledge graphs
- process models
- timing tools

### Nice to have
- AI orchestration frameworks
- reasoning based on prompts
- multi-agent automation

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Design-Automation-Engineer--Applied-AI_JR2014684?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)