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Lead Software Engineer

Cadence Design Systems

PUNE 05SeniorH-1B sponsor company
Sign in to applyVerified 2h ago
Location
PUNE 05
Work model
On-Site
Level
Senior
H-1B history
77 approvals (FY2023)
Posted
14h ago

Skills

FortranLinuxPython

About this role

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.

EDUCATION

PhD in Mechanical Engineering, Civil Engineering and Aerospace Engineering or related field EXPERIENCE: Experience in the development and implementation of finite element analysis (FEA) software, user subroutines for commercial FEA packages, and numerical material models is highly desirable. Proficiency in Fortran, C/C++, Python, and scripting languages is preferred. Experience with MSC Nastran, Marc, or other commercial finite element analysis software is preferred. Experience in the research and development of nonlinear solid mechanics analysis, including geometric nonlinearity, contact mechanics, and nonlinear material behavior, is preferred. KNOWLEDGE, SKILLS AND ABILITIES Strong programming skills in Fortran and C/C++ . Working knowledge of Linux shell scripting and Python . Solid understanding of nonlinear mechanics and numerical methods. Knowledge of contact mechanics and contact algorithms. Understanding of large deformation and large rotation formulations. Strong engineering analysis and problem-solving skills. Effective written and verbal communication skills in English. Experience in finite element software development in two or more of the following areas is highly desirable: Contact mechanics Large deformation and large rotation Finite element formulation and element development Fluid-Structure Interaction (FSI) Computational Fluid Dynamics (CFD) Heat transfer Fracture and failure mechanics Solution algorithms and numerical methods Electrical and electromagnetic analysis Acoustics Geometry modeling and NURBS technologies Ability to develop, evaluate, review, and maintain engineering software code; perform quality assurance (QA), benchmarking, and validation; and apply sound engineering judgment. Experience with software regression testing and QA processes is preferred. Ability to create clear and professional design documentation using tools such as Microsoft Word and Microsoft Excel . Knowledge of Finite Element Methods (FEM) , including both implicit and explicit nonlinear analysis technologies . Familiarity with commercial FEA software packages such as MSC Nastran , Marc , or similar products.

Preferred Experience

Experience in the development and implementation of finite element analysis software, user subroutines, and numerical material models. Experience with commercial FEA software, including MSC Nastran, Marc, or equivalent packages. Experience in the research and development of nonlinear analysis involving geometric nonlinearity, contact mechanics, and nonlinear material behavior. Proficiency in Python and other scripting languages for software development and automation.

Key Responsibilities

Research, design, and develop advanced algorithms for nonlinear finite element analysis to support multidisciplinary simulations and technology integration within MSC Nastran and Marc. Develop, maintain, enhance, and test MSC Nastran/MARC and related software products. Implement, validate, and optimize linear and nonlinear solution capabilities within MSC Nastran/MARC. Prepare and maintain technical documentation for product enhancements, new features, and software improvements. Support Quality Assurance (QA) activities, including benchmarking, certification, validation, and release testing, to ensure successful and timely product deliveries. Develop representative engineering models to verify and demonstrate linear and nonlinear solution capabilities. Identify, investigate, and report software defects, enhancement requests, and performance issues to the development team. Create and maintain test cases, benchmark models, and automated tools for regression testing and performance evaluation. Contribute to the development and execution of QA procedures, testing methodologies, benchmarks, training materials, and technical documentation for new and enhanced product capabilities. Ensure