NVIDIA

NVIDIA

Posted via Workday

Senior Applied Research Scientist – Computational Geometry and Meshing

Posted Aug 18, 2026

Role at a glance

Salary
$192K – $356.5K/yr
Location
5 Locations, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
5+ years of experience.
Education
PhD or equivalent experience in computer science, computational geometry, scientific computing, graphics, applied mathematics,...

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Role Summary

AI-generated

This applied researcher role advances computational geometry, meshing, simulation-ready representations, and AI-native algorithms for NVIDIA GPU platforms. The work supports design-to-simulation workflows across CAE, EDA, semiconductor, and scientific-computing applications.

What You'll Do

  • Build algorithms for computational geometry, computer-aided engineering and design interoperability, mesh generation, mesh adaptation,...
  • Investigate differentiable geometry, AI-native geometry processing, learning-based meshing and discretization, and design-to-simulation...
  • Explore solver- and hardware-aware geometry and discretization methods that optimize mesh quality, numerical accuracy, robustness, and...
  • Define benchmarks for mesh quality, geometry conversion, discretization accuracy, robustness, downstream solver impact, and end-to-end...
  • Collaborate with teams across Omniverse, OpenUSD, Warp, solver engineering, NVIDIA Research, universities, and industrial partners.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

PhD or equivalent experience in a related technical field; 5+ years of experience; background in computational geometry, geometry processing, mesh generation, adaptive discretization, CAD and CAE algorithms, or simulation-ready representations; C++ and Python skills; understanding of boundary representations, topology, mesh quality, discretization error, numerical robustness, and solver requirements.

Required

  • C++ and Python skills
  • Background in computational geometry, geometry processing, mesh generation, adaptive discretization, CAD and CAE algorithms, or...
  • Understanding of boundary representations, topology, mesh quality, discretization error, numerical robustness, and solver requirements

Preferred

  • Experience with CAD kernels or formats such as Parasolid, ACIS, Open Cascade, CATIA, NX, Creo, SOLIDWORKS, STEP, IGES, B-Rep, NURBS, or...
  • Experience with tetrahedral, hexahedral, polyhedral, anisotropic, adaptive, boundary-layer, curved, or high-order mesh generation
  • Work in isogeometric analysis, remeshing, meshless methods, topology optimization, shape optimization, differentiable geometry, or...
  • Experience with geometry repair, feature or simulation-intent recognition, parameterization, persistent correspondence, learning-based...

Original job description

Content provided by the employer

Industrial simulation depends on turning product and device geometry into valid, efficient discretizations. This role will advance computational geometry, meshing, simulation-ready representations, and AI-native algorithms for NVIDIA GPU platforms.

We are looking for an applied researcher who can build methods that move design data reliably from CAD to simulation. You will develop geometry, meshing, and discretization algorithms that improve robustness, numerical accuracy, and end-to-end performance across CAE, EDA, semiconductor, and scientific-computing workflows. Join us in reinventing the geometric foundation of engineering simulation!

What you'll be doing:

  • Build algorithms for computational geometry, computer-aided engineering and design interoperability, mesh generation, mesh adaptation, spatial data structures, and curved discretization.

  • Investigate differentiable geometry, AI-native geometry processing, learning-based meshing and discretization, and design-to-simulation workflows for inverse design, simulation-ready digital twins, and autonomous engineering workflows.

  • Explore solver- and hardware-aware geometry and discretization methods that jointly optimize mesh quality, numerical accuracy, robustness, and comprehensive simulation efficiency.

  • Define benchmarks for mesh quality, geometry conversion, discretization accuracy, robustness, downstream solver impact, and end-to-end simulation performance.

  • Collaborate with teams across Omniverse, OpenUSD, Warp, solver engineering, NVIDIA Research, universities, and industrial partners involved in computer-aided engineering, electronic design automation, chip manufacturing, electronics, and digital twin workflows.

What we need to see:

  • PhD or equivalent experience in computer science, computational geometry, scientific computing, graphics, applied mathematics, computational mechanics, engineering, or a related field.

  • 5+ years of experience.

  • Background in computational geometry, geometry processing, mesh generation, adaptive discretization, CAD and CAE algorithms, or simulation-ready representations with 5+ years proven experience working in computational engineering.

  • C++ and Python skills, with experience building algorithms for sophisticated geometry.

  • Understanding of boundary representations, topology, mesh quality, discretization error, numerical robustness, and solver requirements, supported by research, software, or industrial impact.

Ways to stand out from the crowd:

  • Experience with CAD kernels or formats such as Parasolid, ACIS, Open Cascade, CATIA, NX, Creo, SOLIDWORKS, STEP, IGES, B-Rep, NURBS, or spline-based representations.

  • Experience with tetrahedral, hexahedral, polyhedral, anisotropic, adaptive, boundary-layer, curved, or high-order mesh generation.

  • Work in isogeometric analysis, remeshing, meshless methods, topology optimization, shape optimization, differentiable geometry, or AI-native mesh generation.

  • Experience with geometry repair, feature or simulation-intent recognition, parameterization, persistent correspondence, learning-based geometry representations, GPU spatial algorithms, or solver-aware adaptation.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 21, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.