Staff Engineer – AI​/ML & Digital Twin

Staff Engineer – AI/ML & Digital Twin

At Ansys, Part of Synopsys, we're the global leader in engineering simulation software, helping innovative companies solve complex design challenges. Our cutting-edge solutions power advancements across industries, from aerospace to consumer electronics. Join us and help shape the future of technology.

You are a highly motivated engineer who thrives at the intersection of engineering simulation, data-driven methods, and AI/ML-enabled workflows. Your expertise allows you to operate confidently in customer-facing environments, translating complex, multidisciplinary challenges into scalable, practical solutions. You possess a strong foundation in simulation or engineering systems, hands-on experience with machine learning and automation, and the ability to engage as a trusted technical advisor.

You are energized by ambiguity, seeking out opportunities to enable new ways of working through automation, digital twins, and intelligent simulation workflows. You are passionate about democratizing simulation technology, making advanced capabilities accessible to a broader spectrum of users. Your approach is both strategic and hands-on, balancing high-level vision with detailed technical execution. You excel in collaborative environments, working closely with cross-functional teams and customers to deliver impactful solutions.

You advocate for innovation and continuous improvement, mentoring peers and championing best practices. Your communication skills enable you to distill complex concepts into actionable insights, fostering understanding across diverse audiences. Above all, you are driven by the desire to make a tangible impact in the world of engineering and technology.

What You'll Be Doing:

• Lead and execute technical engagements across the customer lifecycle, including discovery, solution development, demonstrations, evaluations, and deployment.
• Engage directly with customers to understand engineering workflows, data availability, and decision-making processes, translating them into AI-enabled simulation and digital engineering solutions.
• Develop and implement differentiated solutions using technologies such as automation, reduced order modeling, optimization, simulation democratization, system-level modeling, and digital twins.
• Integrate machine learning models within simulation and digital twin pipelines to improve prediction accuracy, reduce computational cost, and enable near real-time insights.
• Define and deliver automated and scalable workflows that reduce reliance on expert-driven simulation and enable broader adoption across engineering teams.
• Lead or contribute to first-of-a-kind or ambiguous use cases, including AI-assisted design exploration, surrogate modeling, and digital twin deployment.
• Collaborate closely with product development teams to influence roadmap, validate new capabilities, and improve usability of AI-enabled features.
• Deliver professional services, training, and technical guidance to ensure successful adoption of advanced workflows.
• Support pre-sales and technical marketing activities through demonstrations, evaluations, and industry engagement.

• Mentor team members and contribute to the best internal practices around AI, automation, and simulation integration.

The Impact

You Will Have:

• Enable customers to transition from traditional simulation to AI-augmented and automated engineering workflows.
• Reduce time-to-insight through surrogate modeling, optimization, and intelligent automation.
• Expand access to simulation by supporting democratization across engineering and non-expert users.
• Drive adoption of digital twin technologies for predictive and operational decision-making.
• Influence product direction by connecting real-world use cases with next-generation AI-enabled capabilities.
• Contribute to business growth through high-impact technical engagements and solution delivery.

What You'll Need:

• MS (or PhD) in Engineering, Computer Science, Applied Mathematics, or related field.
• 5+ years of experience in engineering systems, simulation, or data-driven modeling.
• Strong programming skills (Python preferred).
• Experience working with modeling, simulation,…