Principal (STA/ Sign-Off) Engineer-17042 (Austin/ Sunnyvale)

Ansys, Inc.

Sunnyvale (CA)

On-site

USD 130,000 - 170,000

Full time

4 days ago
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Job summary

Synopsys is seeking a Principal (STA/ Sign-Off) Engineer to lead CFD/thermal simulations and AI-enabled support for diverse customers. You will translate engineering theory into practical guidance, mentor teams, and drive knowledge content across aerospace, automotive, and energy sectors.

You will collaborate with a global team, shape best practices, and influence product quality through defect reporting and solution validation, all while maintaining clear customer communications.

Qualifications

  • Degree in Mechanical/Chemical/Aerospace or related engineering discipline.
  • Hands-on experience with Synopsys or Ansys Fluids or other CAE tools.
  • Strong foundation in fluid dynamics, heat transfer, thermodynamics, and numerical methods.
  • Ability to build numerical models and apply simulation techniques to real problems.
  • Excellent written and spoken English for customer communication.
  • U.S. citizenship to meet ITAR/export requirements.

Responsibilities

  • Help customers solve complex CFD and thermal problems using Synopsys and Ansys Fluids.
  • Use AI-powered support platforms to diagnose issues and accelerate resolution.
  • Build long-term relationships with customers across industries by understanding workflows.
  • Create and maintain technical content like knowledge base articles and guides.
  • Lead or contribute to team projects on process improvements and content development.
  • Submit product enhancement requests and document defects; validate fixes during release testing.
  • Evaluate AI-generated responses for accuracy and provide feedback to improve systems.

Skills

Fluid dynamics fundamentals
Numerical methods
Clear English communication
Problem solving
Customer-facing support

Education

Bachelor/Master/PhD in Mechanical/Chemical/Aerospace Eng or related

Tools

Ansys Fluids (Fluent/CFX)
Synopsys Fluids tools
CAE software proficiency

Job description

Principal (STA/ Sign-Off) Engineer-17042 (Austin/ Sunnyvale)

We AreSynopsys is the leader in engineering solutions from silicon to systems, enabling customers to rapidly innovate AI-powered products. We deliver industry-leading silicon design, IP, simulation and analysis solutions, and design services. We partner closely with our customers across a wide range of industries to maximize their R&D capability and productivity, powering innovation today that ignites the ingenuity of tomorrow.

You are someone who has spent years working with simulation tools and you know that the hardest part is not running the solver, it is understanding what the customer is actually trying to achieve and guiding them to an answer that works in their world. You are comfortable translating between engineering theory and messy real-world applications where boundary conditions are unclear and timelines are tight. You have worked with CFD tools like Fluent or CFX, maybe in industry doing product development, maybe in a consulting role helping others solve thermal or flow problems. Either way, you understand fluid dynamics deeply enough to know when a model is set up wrong and why it matters. What excites you now is the intersection of that technical depth and emerging AI tools. You see the potential for large language models and AI-driven support platforms to change how engineers get unstuck, and you want to be part of shaping that future, not just watching it happen. You are someone who enjoys teaching as much as solving. Writing a clear knowledge base article or walking a customer through a tricky setup feels as rewarding as cracking a tough convergence issue yourself. At Synopsys, you will work with a global team that values both technical rigor and the human side of customer success.

What You’ll Be Doing
  • Help customers solve complex CFD and thermal simulation problems using Synopsys and Ansys Fluids products including Fluent, CFX, and Workbench
  • Use AI-powered support platforms alongside your engineering expertise to diagnose issues, recommend solutions, and accelerate time to resolution
  • Build long‑term relationships with customers across aerospace, automotive, energy, and other industries by understanding their workflows and helping them succeed with simulation
  • Create and maintain technical content like knowledge base articles, troubleshooting guides, and best practice documents that help customers and internal teams get answers faster
  • Lead or contribute to team projects focused on process improvements, content development, and operational excellence initiatives
  • Submit product enhancement requests and document software defects through internal quality processes, then validate fixes during product release testing
  • Evaluate AI-generated support responses for accuracy and relevance, providing feedback that improves the system and helps shape how AI tools support engineering workflows
What You’ll Need
  • Bachelor’s, Master’s, or PhD in Mechanical Engineering, Chemical Engineering, Aerospace Engineering, or a related engineering discipline
  • Hands‑on experience using Synopsys or Ansys Fluids software, or demonstrated proficiency with other commercial CAE tools in a professional setting
  • Strong technical foundation in fluid dynamics, heat transfer, thermodynamics, and numerical methods
  • Proven ability to build numerical models and apply simulation techniques to solve real engineering problems, not just academic exercises
  • Clear written and spoken English with the ability to explain complex technical concepts to customers with varying levels of simulation experience
  • U.S. citizenship to meet ITAR and export‑controlled program requirements
Who You Are
  • You can take a customer’s vague description of a convergence issue and ask the right questions to figure out whether it is a mesh problem, a physics setup issue, or something else entirely
  • You enjoy the teaching moments as much as the solving moments, whether that is walking someone through turbulence model selection or writing a guide that helps hundreds of users avoid the same mistake
  • You are organized enough to juggle support cases across multiple customers and industries without dropping threads or losing track of follow‑ups
  • You are genuinely curious about AI and machine learning, not because it is trendy but because you see how it could change the way engineers interact with simulation tools
  • You take ownership when something is not working, whether that means digging into a tricky case yourself, looping in a product expert, or escalating a defect until it gets resolved
  • You thrive in environments where collaboration matters, where sharing what you learned on one case helps a teammate solve the next one faster
The Team You’ll Be Part Of

You will join a global team of engineers dedicated to helping customers maximize the value of Synopsys simulation technologies. Team members work closely with customers, product development teams, sales organizations, and other technical specialists to ensure exceptional customer experiences. The team values knowledge sharing, collaboration, and continuous learning, and you will have opportunities to contribute to strategic initiatives that shape how the Customer Excellence organization grows and evolves.

Rewards and Benefits

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non‑monetary offerings.

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. The base salary range for this role is across the U.S.

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