Principal Application Engineer - Solution Architect

Job Description and Requirements

We Are

Synopsys is at the heart of the innovations that change the way we work and play. Self-driving cars. Artificial Intelligence. The cloud. 5G. The Internet of Things. These breakthroughs are ushering in the era of Smart Everything—where devices are getting smarter, everything’s connected, and everything must be secure. We help customers innovate from silicon to systems, enabling faster, smarter, and more reliable engineering outcomes.

You Are

You are an expert-level, customer-facing technical leader who thrives in ambiguity and operates with a high degree of autonomy. You combine deep engineering and architecture expertise with strong executive communication skills, and you enjoy translating complex customer problems into scalable solutions. You’re comfortable leading solution strategy from early discovery through proposal, aligning cross-functional teams, and mentoring others. You bring practical experience applying Agentic AI and Physical AI concepts to real engineering workflows, and you know how to integrate simulation, digital engineering, and enterprise systems to deliver measurable business impact.

What You’ll Be Doing

- Act as a trusted technical advisor to executive, engineering, and IT stakeholders at strategic and enterprise customer accounts.
- Partner with Sales, account teams, and regional leadership to identify high-value opportunities where integrated simulation, digital engineering, and Agentic/Physical AI deliver measurable outcomes.
- Lead customer discovery workshops and ideation sessions to translate business objectives into clear engineering requirements, workflows, and architectural components.
- Define and document solution vision, roadmap, value drivers, risks, and adoption strategies aligned to customer outcomes.
- Architect end-to-end customer solutions leveraging multiple Synopsys technologies and, where appropriate, partner/third-party ecosystems (e.g., NVIDIA Omniverse ).
- Design Agentic AI solution patterns (tool-using agents, workflow orchestration, guardrails, evaluation, and human-in-the-loop) and Physical AI workflows (simulation-driven data generation, digital twins, surrogate modeling, and closed-loop optimization).
- Define functional and technical architectures, including process flows, data models, integrations, and deployment patterns (on-prem, cloud, hybrid).
- Lead technical feasibility assessments and risk mitigation for complex, solution-focused engagements, including AI reliability, validation, IP protection, and data governance considerations.
- Establish and promote reusable solution architecture patterns and best practices across regions and industries.
- Contribute to proposals and customer deliverables, including technical sections of SOWs, framework agreements, and work orders.
- Mentor and technically guide solution engineers, architects, and consultants across regions and functions.
- Build strong internal partnerships across Sales, Application Engineering, Product Management, and AI/ML teams; provide customer-driven insights to influence product strategy and roadmap.
- Represent Synopsys as a technical leader with customers and partners through executive briefings, technical reviews, and solution presentations.

The Impact You’ll Have

- Drive revenue growth and customer success by shaping solution strategy for strategic and enterprise accounts.
- Accelerate customer adoption of integrated simulation, digital engineering, and Agentic/Physical AI workflows that improve cycle time, quality, and engineering productivity.
- Reduce delivery risk and increase scalability by establishing repeatable solution architecture patterns and best practices.
- Strengthen Synopsys’ technical leadership in the market by influencing customer roadmaps and informing product strategy with real-world requirements.
- Elevate team capability through mentorship and cross-regional technical leadership.

What You Need

Minimum Qualifications

- Bachelor’s, Master’s, or PhD in Engineering, Physics, Computer Science, or a related technical field.
- 10+ years of experience in engineering simulation, digital engineering, Agentic AI and/or Physical AI platforms , or enterprise technology solutions.
- Demonstrated expertise architecting complex solutions using multiple Synopsys and/or multi-physics simulation products, plus integration with partner/third-party ecosystems (including open-source technologies where relevant).
- Hands-on experience designing and delivering: Agentic AI workflows (LLM/tool integration, orchestration, retrieval/RAG, evaluation, guardrails)
- Physical AI workflows (simulation-to-AI, surrogate modeling, digital twins, optimization, closed-loop systems)

- Proven experience leading solution-focused engagements for strategic and enterprise customers from discovery through proposal and solution definition.
- Strong understanding of simulation workflows, automation, optimization, data management, and enterprise integration patterns.
- Exceptional communication and stakeholder engagement skills, including executive-level audiences.
- Ability to travel up to 25% .

Preferred Qualifications

- Experience leading or supporting large-scale digital transformation or simulation-led engineering initiatives incorporating AI agents or simulation-driven AI.
- Experience mentoring senior technical professionals across distributed teams.
- Familiarity with AI governance, model risk management, and enterprise deployment considerations (security, compliance, observability).
- Industry recognition as a technical leader or solution architect.

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S.