Applied AI and Simulation Engineer (Packaging Engineering)

Dell • Austin, TX

10h • $187

About The Position

Applied AI and Simulation Engineer (Packaging Engineering) At Dell Technologies, we create technologies that drive human progress . Our Packaging Engineering team plays a critical role in delivering sustainable, high-performance solutions that protect our products and enhance customer experience . We are looking for an Applied AI and Simulation Engineer to help us transform packaging by focusing on the intersection of AI, physics-based simulation, and machine learning for next generation packaging solutions . This role will drive innovation in design optimization, material performance, and manufacturing efficiency using both data-driven and simulation-based approaches . Join us to do the best work of your career and make a profound impact as an Applied AI and Simulation Engineer on our Packaging Engineering team in Austin . What You’ll Achieve As an Applied AI and Simulation Engineer (Packaging Engineering) , you will contribute to the development of next generation packaging by combining data-driven intelligence with physics-based modeling . You will work cross-functionally to improve packaging performance, reduce environmental impact, and accelerate innovation .

Requirements

• Bachelor's or master's degree in M echanical engineering , Materials Science, Computer Science, Theoretical and Applied Mechanics, Packaging Engineering, or related field.
• 3-6 years of relevant experience in engineering , simulation , machine learning applications , and developing engineering data platforms from structured and unstructured data and handling noisy, sparse, and real -world datasets.
• Experience with: Machine L earning frameworks (e.g., TensorFlow, PyTorch ) | Simulation Tools , particularly Creo | Programming in Python
• Knowledge of databases and data management systems (SQL/NoSQL)
• Understanding material behavior , structural analysis, model validation , performance evaluation, and engineering analysis methods.

Nice To Haves

• Experience in mechanical engineering, packaging engineering, theoretical and applied mechanics, or manufacturing environments
• Familiarity with design optimization, DOE, or statistical modeling
• Experience in building data pipelines or ML workflows in production
• Fami liarity with hybrid modeling simulation (simulation + ML
• Exposure to sustainability initiatives such as material reduction or lifecycle analysis
• Experience working with cross-functional, global teams.

Responsibilities

• Apply AI techniques and machine learning to optimize packaging design, material usage, and reliability.
• Perform advanced simulations using tools such as Creo to evaluate structural and dynamic performance
• Develop hybrid models that integrate simulation data with machine learning predictions.
• Build and manage engineering data pipelines and databases for simulation results, and testing data material properties.
• Partner with global teams across engineering, manufacturing, and supply - chain to drive data-informed decisions.
• Analyze physical test data (drop, vibration, compression) and improve correlation with simulation outputs.
• Contribute to automation and scalability of packaging design workflows

Benefits

• Your life.
• Your health.
• Supported by your benefits.
• You can explore the overall benefits experience that awaits you as a Dell Technologies team member — right now at MyWellatDell.com

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees