Staff Engineer – AI/ML & Digital Twin

Job Description

We are seeking a highly motivated Staff Engineer to join our team, focusing on AI/ML and Digital Twin technologies. As a Staff Engineer, you will lead and execute technical engagements across the customer lifecycle, including discovery, solution development, demonstrations, evaluations, and deployment.

Responsibilities

• 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.

Benefits

• 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.

Requirements

• 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, optimization, or data-driven engineering workflows.
• Strong analytical, problem-solving, and communication skills.
• Ability to operate effectively in a customer-facing, consultative engineering role.
• Proven experience in automation of engineering workflows or pipelines using tools such as optiSLang, modeFrontier, HEEDS or equivalent.
• Demonstrated expertise applying machine learning techniques in engineering contexts, including surrogate modeling, regression methods, or neural networks (CNNs, RNNs, autoencoders).
• Understanding of projection-based ROMs, dimensionality reduction, and feature engineering.
• Knowledge of multi-fidelity system modeling using Twin Builder, Simulink, AMESim or equivalent.
• Familiarity with deployment and operationalization of AI models, including integration into engineering workflows and use of frameworks such as PyTorch, TensorFlow, scikit-learn, Kubernetes, AWS/Azure equivalent.
• Exposure to cloud or HPC-based environments for large-scale simulation or data processing.

Who We Are Looking For

• Customer-focused and able to build trusted relationships.
• Comfortable working in ambiguous, fast-evolving technical environments.
• A strong communicator who can translate complex concepts into actionable insights.
• Self-driven, organized, and capable of managing multiple priorities.
• A collaborative team player who contributes to a culture of learning and innovation.

The Team You’ll Be A Part Of

You will be part of a multidisciplinary engineering team focused on advancing industry adoption of simulation through AI, automation, digital twin, and MBSE technologies. The team collaborates closely with customers, product development, and go-to-market functions to deliver innovative, high-impact solutions.