Simulation and Virtual Development Engineer

Overview

At Wilson, we are here to empower every human to live like an athlete. Passion. Creativity. Integrity. Teamwork. Ambition. Innovation. These are the qualities that have made Wilson Sporting Goods Co. the number one sports equipment brand in the world. We come together to win, grow, and celebrate. We all play for Team Wilson. We all have a role to play within our organization and are working towards the same goal.

One team, one dream.

We believe that being an athlete isn’t something you do, it’s who you are. It’s a universal code of conduct, a way of seeing the world and how you show up every day. We seek out diverse voices and welcome all perspectives. Our team is composed of individuals with unique backgrounds, points of view and experiences. These perspectives create a rich and diverse culture in which we learn from one another through empathy and inclusion.

Evolving the sports world and being the best partner for players, athletes, and our community is no small task. We are continually looking to add enthusiastic, ambitious, team-first individuals who desire to make a difference —and who love to help others win. Together, we will create a better world through sport. Join us.

The Simulation and Virtual Development Engineer will play a key role in advancing our capabilities in the virtual design and analysis of next generation sporting goods. This position emphasizes CAD parameterization and FEA methodologies to develop durable, lightweight structures across a range of product categories. The role will specifically work on Baseball/Softball and may also collaborate closely with Innovation and R&D teams across all Wilson business units.

Specific responsibilities include, but are not limited to:

• Lead virtual prototyping efforts, including CAD parameterization, to support advanced design concepts across multiple sports categories.
• Build and refine CAE models to assess strength, durability, manufacturability, aerodynamics, acoustics, and overall performance, including applications for 3D printing.
• Develop and manage Multiphysics optimization workflows to drive innovative product solutions.
• Research and evaluate improved methods to capture collision dynamics and responses.
• Interpret simulation results and deliver clear, actionable insights, and key findings to guide engineering decisions across R&D teams and support the development of high-performance products
• Analyze large data sets to extract critical insights and develop advanced statistical and machine learning models.
• Other duties as assigned.

We are seeking qualified candidates with 2-5 years exerience, a Bachelor’s degree in mechanical, aerospace, or related engineering field required; a graduate degree is preferred.

Other qualifications include:

• Familiarity in 3D CAD Modeling (NX preferred).
• Proficiency with finite element software (LS-Dyna, ANSYS or Abaqus), numerical methods, and underlying FEA theory is beneficial.
• Experience in composite mechanics, composite material characterization and modeling using advanced FE tools (e.g., Ansys Composites Pre-post, Hypermesh Composite module) is preferred.
• Experience with pre‑processing tools such as Hyper Mesh is preferred.
• Knowledge of scripting languages (e.g., MATLAB, Python).
• Ability to work in fast changing environment and prioritize tasks effectively.
• Ability to communicate complex methods, timelines and findings to a non-technical audience.
• Strong analytical skills with the ability to assess options, evaluate outcomes, and provide clear recommendations for improvement or next steps.
• A strong drive for continuous learning and a natural curiosity for uncovering the underlying physics behind product behavior
• A demonstrated passion for sports is a big plus.
• Excellent communication skills, written and verbal
• Ability to work independently and within a team
• Organized and detail oriented

A reasonable estimate of the pay range is $78,000 - $100,000 per year at the time of this posting. Within the range, individual pay is determined by factors such as job-related skills, relevant experience, education, and/or training. Please note that the range details…