Senior EDA Solutions Architect - AI/ML & Cloud

Siemens EDA (Siemens Digital Industries Software); Austin (TX); Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Flexible work from home

Comprehensive benefits

Global teamwork

Job summary

Siemens EDA, a leader in Electronic Design Automation, seeks a Principal Solutions Architect to lead enterprise verification solutions. You will bridge customers, R&D, and Product Line Teams to define architectures across diverse environments and drive roadmaps emphasizing AI/ML automation, cloud-native workflows, and Functional Safety.

In this senior role, you will mentor engineers, scale solutions globally, and engage with C-suite leaders to translate complex problems into reusable

Qualifications

• 20+ years of progressive technical leadership experience in verification engineering, product engineering, or R&D management within the semiconductor/EDA industry.

Responsibilities

• Architect and deliver cross-product verification solutions for complex workflows across multiple DVT products.
• Engage with C-suite and engineering leadership to identify challenges and design scalable, reusable solutions.
• Lead AI/ML-driven automation, cloud-native EDA workflows, and Functional Safety initiatives; author technical collateral.

Skills

Executive communication

Leadership

Problem solving

Project governance

Ambiguity navigation

Education

Bachelor's Degree in Electrical Engineering or Computer Science

Master’s Degree or Ph.D. (Preferred)

Tools

Synopsys VCS/Verdi

Cadence Xcelium/JasperGold

Job description

Siemens EDA, a leader in Electronic Design Automation, seeks a Principal Solutions Architect to lead enterprise verification solutions. You will bridge customers, R&D, and Product Line Teams to define architectures across diverse environments and drive roadmaps emphasizing AI/ML automation, cloud-native workflows, and Functional Safety.

In this senior role, you will mentor engineers, scale solutions globally, and engage with C-suite leaders to translate complex problems into reusable