Job Information
ANSYS, Inc. Senior Application Engineer - Model-Based Engineering (Remot in Boulder, Colorado
Requisition #:15342 Our Mission: Powering Innovation That Drives Human Advancement
When visionary companies need to know how their world-changing ideas will perform, they close the gap between design and reality with Ansys simulation. For more than 50 years, Ansys software has enabled innovators across industries to push boundaries by using the predictive power of simulation. From sustainable transportation to advanced semiconductors, from satellite systems to life-saving medical devices, the next great leaps in human advancement will be powered by Ansys.
Innovate With Ansys, Power Your Career.
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 b
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 withinmulti-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 totranslate 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/Chemical/Aerospace/Electrical Engineering or related field
Required minimum years of professional experience in an engineering software environment: BS+5, MS+3, or PhD+1
Demonstrated use of relevant Ansys software or knowledge of other commercial CAE, CAD, EDA, PLM software packages
Demonstrated knowledge of model-based engineering including design optimization and automation of engineering simulation workflows
Proven expertise with process integration and design optimization tools such as optiSLang, ModelCenter, modeFRONTIER, Isight, HEEDs or similar tools
Knowledge of High-Performance Computing (HPC) and Cloud Computing for engineering simulations in Windows and Linux environments
Understanding of structural, thermal, fluid, electrical/electromagnetic, optics, embedded software or other advanced simulation workflows
Familiarity with programming languages: Python, C++, Java, R or VB
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
Ability to travel domestically up to 25% of time
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 industry experience in applic tion engineering, customer support, or consulting services type customer facing roles using engineering software
Demonstrated knowledge of reduced order modeling (response surfaces, surrogate or meta models) in engineering analysis and simulation
Familiarity with connecting MBSE assets like System Architecture Models and Requirements Management tools with simulations