Software Engineer II - Physics-AI Engineer

Cadence Design Systems
Greece
Workplace: OnsiteFull timeFunction: Software EngineeringSkills: ["Accuracy validation","Failure mode testing"]

Build AI-enabled engineering products by creating and deploying physics-informed ML surrogates for CAE/FEA workflows. Develop reduced-order and deep learning models to predict structural simulation results with manufacturability insights, from stamping and composite materials to finite element integration. Create synthetic datasets, validation pipelines, and latency/failure-mode testing against numerical solvers, and package models for use by engineering teams via APIs and software interfaces.

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Cadence Design Systems
Cadence Design Systems
1 day ago

Software Engineer II - Physics-AI Engineer

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Build AI-enabled engineering products by creating and deploying physics-informed ML surrogates for CAE/FEA workflows. Develop reduced-order and deep learning models to predict structural simulation results with manufacturability insights, from stamping and composite materials to finite element integration. Create synthetic datasets, validation pipelines, and latency/failure-mode testing against numerical solvers, and package models for use by engineering teams via APIs and software interfaces.
Location: Greece
Workplace: Onsite
Employment Type: Full time · Permanent
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Develop AI surrogate modeling, including reduced-order models and deep learning-based surrogates for high-fidelity FEA.
  • •Work on stamping simulations and composite materials to predict manufacturability and key structural results.
  • •Build AI models that incorporate physical laws to ensure physically consistent predictions for structural analysis.
  • •Integrate and deploy machine learning models into engineering workflows, including creating APIs and software interfaces.
  • •Generate synthetic data from simulation frameworks and build validation pipelines to test accuracy, latency, and failure modes versus numerical solvers.

Pay and Benefits

Perks:Health InsurancePrivate PensionGym MembershipMeal AllowanceCommuter Benefits

Key Requirements

  • •B.S., M.S., or Ph.D. in Mechanical Engineering, Civil Engineering, or a closely related field.
  • •Experience with commercial and open-source CAE/FEA software (e.g., NASTRAN, Abaqus, ANSYS).
  • •Solid understanding of continuum mechanics and numerical methods.
  • •AI/ML proficiency with Python and deep learning frameworks such as PyTorch or TensorFlow.
  • •Software engineering skills in C++ and the ability to deploy models into production.
Education:
Skills:Accuracy validationFailure mode testing
Languages:English
Tech Stack:PythonPyTorchTensorFlowC++Deep learningMachine learningFinite element analysisFEANASTRANAbaqusANSYSAPIs

Company Brief

Cadence Design Systems
Provides electronic design automation (EDA) software, IP, and services for semiconductor and systems companies to design, verify, and implement integrated circuits, systems-on-chip, and electronic systems across industries including communications, automotive, and consumer electronics.
Industry: Developer Tools
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 1988
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Glassdoor: 3.9
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