Lead Quality Engineer

Cadence Design Systems; Pune District; On-site; INR 1,500,000 - 2,400,000; Full time

Job summary

Cadence Design Systems in Pune, India, seeks a seasoned CAE/FEA specialist to validate nonlinear solvers and workflows across elastomer sealing, composites, and complex contact problems.

You will design validation strategies, automate test cases for Nastran and Marc, collaborate with developers and QA, and produce reports guiding product quality and customer confidence. A PhD and 3+ years in CAE/FEA are preferred, with experience in HyperMesh/ANSA/Patran beneficial.

Qualifications

• PhD or equivalent in a mechanical engineering field.
• 3+ years in CAE/FEA with nonlinear statics and dynamics.
• Experience with validation of CAE solvers and workflows.
• Ability to translate complex physics into benchmark models.

Responsibilities

• Design validation strategies for nonlinear simulation capabilities.
• Translate industrial applications into high-fidelity benchmark models.
• Validate solver behavior with analytical checks and references.
• Build and automate test cases for Nastran and Marc.
• Collaborate with developers, QA, and product teams to close gaps.

Skills

Nonlinear FEA understanding

Python scripting

AI skills

Strong communication

Education

PhD in Mechanical, Civil, Aerospace, Applied Mechanics, or related field

Tools

Nastran

Marc

Abaqus

Ansys

HyperMesh

ANSA

Patran

Job description

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Job Role: You will work at the intersection of nonlinear mechanics (FEA simulation), industrial validation, solver quality. The role is ideal for candidates who enjoy converting complex engineering physics into robust benchmark problems, improving simulation credibility, and influencing the quality of advanced CAE products used by demanding engineering teams.

Role Snapshot

Role focus Advanced nonlinear (simulation) validation for CAE solvers and workflows Ideal background Ph.D. in Mechanical, Civil, Aerospace, Applied Mechanics, or closely related field Experience 3+ years in CAE/FEA with strong nonlinear statics and dynamics exposure Preferred tools Nastran/Marc/ Abaqus/Ansys pre/post tools such as HyperMesh/ANSA/Patran

What You Will Work On

Design high-value validation strategies for advanced nonlinear simulation capabilities, including contact, large deformation, material nonlinearity, nonlinear dynamics, and coupled thermal-mechanical workflows. Translate demanding industrial applications such as elastomer sealing, composite damage/failure, and complex contact simulation into practical, high-fidelity benchmark models. Validate solver behavior using a mix of analytical checks, simplified hand calculations, comparison with trusted references. Build and automate test cases for Nastran and Marc so that complex physics can be validated repeatedly, efficiently, and with clear quality metrics. Work closely with developers, product teams, and QA engineers to identify gaps, isolate issues, improve testability, and support reliable software releases. Prepare clear validation reports, technical notes, and evidence-based recommendations that help improve product quality and customer confidence.

Core Technical Strengths

We Are Looking For Deep understanding of nonlinear finite element analysis, including geometric, material, and contact nonlinearities. Strong foundation in continuum mechanics, numerical methods, finite element formulation, and interpretation of nonlinear solver behavior. Hands-on exposure to advanced constitutive modeling such as hyper-elasticity, viscoelasticity, rate-dependent plasticity, shape memory alloys, or progressive damage/failure in composites, buckling. Practical experience with meshing, model idealization, boundary conditions, convergence behavior, and post-processing of nonlinear simulation results. Ability to connect theory with engineering judgment: simplify a complex problem, validate the essentials, and explain results clearly.

What Makes a Candidate Stand Out

A record of technical publications, conference presentations, benchmark studies, or research-to-application work in CAE/FEA. Evidence of solving difficult nonlinear simulation convergence, modeling, or validation problems. Experience with Python Scripting and AI skills. Clear communication style: able to explain assumptions, limitations, results, and risks to both technical and product teams.

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