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Senior Application Engineer – Computational Mechanics

Senior Application Engineer – Computational Mechanics
by Admin on 07-08-2022 at 3:35 pm

  • Full Time
  • Ann Arbor, MI
  • Applications have closed

Website ANSYS

Summary / Role Purpose

Join the Ansys Customer Excellence team to partner with our customers to engineer what’s ahead, solve their real-world engineering problems, deploy Ansys software in their design workflows, and grow Ansys’ business. As a hands-on subject matter expert, you will use expert-level engineering knowledge to provide technical pre-sales support, perform professional services, and help translate customer requirements into exciting new product features. You will be working within multi-disciplinary teams to create pervasive simulation solutions, advance your industry knowledge, and grow the business impact.

Key Duties and Responsibilities

  • Lead in coordinating and executing all technical activities throughout the sales opportunity lifecycle such as technical discovery, negotiate technical success criteria, product presentations, demonstrations, and evaluations. Work independently within multi-disciplinary teams
  • Interact with customers to understand their product design needs and engineering design workflows; analyze how to address customers’ requirements using Ansys products and platform, articulate Ansys’ value proposition
  • Assist in creating differentiating simulation solutions using the Ansys platform and products; deploy the solutions within customers’ design workflows
  • Develop competence as a subject matter expert and industry expert
  • Collaborate with the Ansys product development teams to translate customer requirements into exciting new product features; test new releases of Ansys products on industrial problems, develop application best practices
  • Support Ansys field and digital marketing, author conference presentations
  • Contribute to consulting services, conduct introductory and/or intermediate training classes

Minimum Education/Certification Requirements and Experience

  • Required education and degree type: BS or MS or PhD in Mechanical/Aerospace/Civil Engineering or related field
  • Required minimum years of professional experience in an engineering software environment: BS+5, MS+3, or PhD+0
  • Demonstrated use of relevant Ansys software or knowledge of other commercial CAE, CAD, EDA, PLM software packages
  • Subject matter expert in one or more relevant disciplines within Ansys’ business and is/will be sought out for advice by other Ansys engineers
  • Logical problem-solving, strong interpersonal and communication skills, fluent in writing and speaking English
  • Strong organizational and time management skills, possesses a sense of urgency
  • Projects a professional image and demonstrates business acumen, driven to succeed
  • Experience in industrial best practices of using CAE and model maturity criteria and implications
  • Strong practical experience and expertise in computational mechanics such as material modeling, manufacturing process modeling or failure simulation
  • Demonstrated expertise in implicit or explicit integration techniques for solids.
  • Familiarity with latest industrial trends such as sustainability, model-based engineering, ICME (Integrated Computational Materials Engineering), manufacturing simulation, and CAE process compression and solution
  • Hands-on experience and passion towards programming and coding for automation, algorithm implementation or GUI in simulation technology and manufacturing process simulation and modeling

Preferred Qualifications and Skills

  • Preferred education and years of professional experience in an engineering software environment: BS+8, MS+6, or PhD+3
  • 2 years of experience in aerospace or automotive industry
  • Ability to interact effectively with senior business managers and C-level executives
  • Ability to travel domestically up to 25% of time
  • Experience in incorporation of in simulation engineering standard work
  • Experience with using ML techniques to optimize and estimate parameters for generative design optimization and parameter estimation.
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