Senior Applications Engineer - Simulation & Automation Lead

Synopsys, Inc.

United States

In loco

USD 180.000 - 230.000

Tempo pieno

6 giorni fa
Candidati tra i primi

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Descrizione del lavoro

Synopsys is seeking a Principal Applications Engineer to lead technical engagements that help customers accelerate simulation and optimize product development. You will collaborate with Sales pre-sales, diagnose bottlenecks, and design future-state workflows using Synopsys tools.

Applicants bring 10+ years in engineering simulation, strong Python automation, and deep knowledge of nonlinear solids, structural dynamics, and multi-physics. Travel up to 30% may be required.

Competenze

  • 10+ years in engineering simulation or consulting with customer exposure.
  • Deep expertise in nonlinear solids, structural dynamics, and numerical methods.
  • Production experience with leading FEA tools and Python automation.

Mansioni

  • Lead pre-sales scoping and value demonstrations for customers.
  • Diagnose workflow bottlenecks and design enhanced simulation processes.
  • Troubleshoot multi-physics issues in customer environments.
  • Create Python-based automation to accelerate workflows.
  • Translate feedback into product requirements and roadmaps.
  • Mentor junior engineers and share knowledge across teams.
  • Develop reusable methodologies for scalable delivery.

Conoscenze

Structural mechanics
Finite element analysis
Python automation
Multi-physics coupling
Technical storytelling
Customer engagement

Formazione

Bachelor's or Master's in Mechanical/Aerospace Engineering

Strumenti

Ansys Mechanical
Ansys LS-Dyna
Abaqus
NASTRAN
Python libraries (requests, numpy)

Descrizione del lavoro

Synopsys is seeking a Principal Applications Engineer to lead technical engagements that help customers accelerate simulation and optimize product development. You will collaborate with Sales pre-sales, diagnose bottlenecks, and design future-state workflows using Synopsys tools.

Applicants bring 10+ years in engineering simulation, strong Python automation, and deep knowledge of nonlinear solids, structural dynamics, and multi-physics. Travel up to 30% may be required.

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