Senior Meshing Algorithm Engineer

Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world‐class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.
Overview Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world‐class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.
About The Team You will join a highly specialized engineering team focused on advanced meshing technologies for simulation and CAE workflows. The team develops core mesh generation capabilities used across complex engineering applications including crash simulation, casting, welding, stamping, and other computational engineering domains. Working in a collaborative international environment, you will partner closely with software engineers, computational scientists, and domain experts across multiple locations. The team values strong technical ownership, algorithmic thinking, software quality, and continuous innovation.
About The Role We are looking for an experienced Meshing Algorithm Engineer with strong expertise in 2D and 3D mesh generation algorithms and high-performance C++ software development. In this role, you will contribute to the design, enhancement, and optimization of advanced meshing technologies used in engineering simulation workflows. You will work on sophisticated geometry-processing and mesh-generation challenges, helping improve mesh quality, robustness, scalability, and automation capabilities. This role is ideal for engineers passionate about computational geometry, CAE software, simulation technologies, and complex algorithm development.
Responsibilities

Develop and optimize advanced algorithms for:

2D surface meshing (triangular and quad-dominant meshes)

3D volume meshing (hexa-dominant, tetrahedral, and hybrid meshes)

Mesh refinement, coarsening, smoothing, morphing, and offsetting

Enhance and maintain a large-scale C/C++ meshing codebase with focus on performance, scalability, and robustness

Design meshing workflows and strategies for simulation-driven engineering applications

Improve CAD-to-mesh conversion processes, geometry cleanup, and mesh adaptation techniques

Analyze and resolve complex meshing quality and topology challenges

Collaborate with global engineering teams on software design, debugging, validation, and testing

Drive features end-to-end from concept and implementation through testing and delivery

Contribute to software quality, coding standards, and automated testing practices

Qualifications
Required Qualifications

Bachelor's, Master's, or PhD in Computer Science, Computational Engineering, Mechanical Engineering, Applied Mathematics, or related field

Strong industrial experience developing 2D and/or 3D meshing algorithms

Strong C/C++ software development experience

Experience working with unstructured meshing techniques and computational geometry concepts

Strong problem-solving and analytical skills

Experience working with complex engineering or simulation software systems

Desired Qualifications

Knowledge of meshing methods such as Advancing Front, Delaunay, Paving, or Mapping techniques

Experience with:

Quad-dominant and all-tria surface meshing

Hexa-dominant and tetrahedral volume meshing

Variable-size and adaptive meshing

Understanding of CAD representations and geometry modeling

Experience with mesh quality metrics and topology optimization

Exposure to simulation domains such as Crash, NVH, Casting, Welding, or Stamping

Experience with parallel computing or meshing parallelization

Python scripting and automated testing experience

Familiarity with DOE, optimization, or statistics is a plus

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