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Director Computational Geometry Developer Jobs in Clifton, NJ

Computational Designer

Manhattan, NY · On-site

$80 - $120/hr

We are looking for a computational designer who has likely trained at one of the world's leading architecture or engineering firms, or built their own practice with computational geometry at its core.

Computational Designer

New York, NY · On-site

$115K - $143K/yr

EDEN is a digital design environment for the engineering and design of ecosystems , modeling the ... Proficiency in Houdini for computational geometry and procedural modeling is mandatory. Experience ...

BIM Integration Engineer

Manhattan, NY · On-site

$100 - $140/hr

The Role We're hiring a Revit/BIM Engineer to own and evolve our Revit plugin and the broader BIM ... Rendering or computational geometry experience * Open‑source contributions in the AEC/BIM space

... computational geometry, and modern AI to put genuine automation on the critical path of production. Our team brings together architects, engineers, AI researchers, and data scientists across Tel Aviv ...

Sr. Software Engineer, Structural

New York, NY · Remote

$102K - $139K/yr

Familiarity with computational geometry and mathematical modeling. * Professional fluency with ... A background moving between engineering stacks -- many strong engineers in this space come from C# ...

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Director Computational Geometry Developer information

See Clifton, NJ salary details

$48.4K

$140.2K

$318.9K

How much do director computational geometry developer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for director computational geometry developer in Clifton, NJ is $140,188.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,200.00 and $159,500.00 per year, depending on experience, location, and employer.

What does a director computational geometry developer do?

A Director Computational Geometry Developer leads teams that design and implement algorithms to solve problems involving geometric data, such as 3D modeling, computer graphics, and CAD systems. They oversee the development of software tools and frameworks that process, analyze, and visualize complex geometric structures. Their responsibilities often include project management, architectural decisions, and ensuring that solutions are efficient and accurate. Additionally, they collaborate with other departments and stakeholders to align computational geometry applications with organizational goals.

What are some common challenges faced by a director computational geometry developer, and how can they be effectively addressed?

A Director Computational Geometry Developer often contends with complex algorithmic problems, ensuring scalability and efficiency while balancing project timelines. Collaboration across multidisciplinary teams—such as software engineers, mathematicians, and product managers—can also present communication challenges, especially when translating technical concepts into actionable plans. Staying updated with the latest research and integrating new developments into existing workflows is essential for maintaining a competitive edge. Proactively fostering a culture of knowledge-sharing and using agile methodologies can help streamline problem-solving and innovation in this role.

What are the key skills and qualifications needed to thrive as a director computational geometry developer, and why are they important?

To thrive as a Director Computational Geometry Developer, you need advanced knowledge of computational geometry, strong programming skills (often in C++, Python, or Java), and experience leading software development teams, typically supported by a relevant advanced degree. Familiarity with geometric modeling libraries, CAD systems, and version control tools is commonly required, along with project management methodologies. Exceptional problem-solving, leadership, and communication skills help drive innovation and coordinate complex projects across multidisciplinary teams. These skills and qualities are critical to ensure the successful delivery of robust geometry solutions, effective team management, and alignment with organizational goals.

What is the difference between Director Computational Geometry Developer vs Computational Geometry Developer?

AspectDirector Computational Geometry DeveloperComputational Geometry Developer
CredentialsBachelor's or Master's in Computer Science, often with leadership experienceBachelor's or Master's in Computer Science or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersFocuses on coding, algorithm development, and technical problem-solving
Industry UsageUsed in companies requiring strategic oversight of geometry algorithmsCommon in R&D, software development, and research roles
Search & Comparison IntentUnderstanding leadership roles in computational geometryTechnical development and algorithm implementation

The main difference is that the Director Computational Geometry Developer oversees teams and projects, focusing on strategic management, while the Computational Geometry Developer concentrates on technical algorithm development and coding. Both roles require strong expertise in computational geometry, but their responsibilities and focus areas differ significantly.

What cities near Clifton, NJ are hiring for Director Computational Geometry Developer jobs?

Cities near Clifton, NJ with the most Director Computational Geometry Developer job openings:

Senior Applied Research Scientist - Computational Geometry and Meshing

Nvidia

New York, NY • On-site, Remote

$107K - $137K/yr

Full-time

Posted 10 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies


Job description

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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US