Application and Support Engineer, LS-Dyna

About the role

The Application and Simulation Support Engineer at PADT provides technical expertise to support customers and assists the ANSYS sales team through strategic pre-sales and technical scoping activities.

Responsibilities

• Work closely with potential and current customers to scope technical solutions that meet and optimize their operational needs
• Collaborate with account managers to identify, advance, and technically drive new opportunities and sustained account support
• Provide, track, and document first level technical support for existing customer accounts and elevate support when appropriate
• Develop, organize, and deliver introductory technical training courses on the use of ANSYS structural simulation products
• Maintain a general understanding of the breadth of technology provided by all ANSYS product offerings and technical solutions
• Sustain technical proficiency through ANSYS certifications and continual pursuit of personal, technical, and professional growth
• Participate in and support internal marketing initiatives that drive customer engagement, education, and grow technical capacity

Requirements

• Bachelor of Science Degree in Mechanical Engineering
• Strong theoretical understanding of mechanical structures, dynamics, heat transfer, fatigue, and engineering math as relevant to degree and experience
• Minimum of two years experience with commercial structural analysis tools such as ANSYS, Nastran, or Abaqus
• Ability to work effectively in both independent and diverse team environments
• Exceptional problem-solving skills and ability to develop practical engineering solutions for difficult problems
• Excellent customer service aptitude, as well as communication and presentation skills
• Proficiency with Microsoft Office tools to include PowerPoint, Word, and Excel

Preferred Education And Experience

• 3.0 GPA or higher
• Experience with ANSYS LS-Dyna
• Experience mitigating switching noise, resonance filtering and decoupling capacitor optimization
• Familiarity with common programming languages (C, C++, Python, etc.)