Staff computational engineer

Experience : 10-14 Years Location : Remote

Intellify Solutions is seeking a highly skilled Staff Computational Engineer with a strong background processing three-dimensional models to help create the next generation of automated design for manufacturing (DFM) tools. In this role, you will analyze three-dimensional models for manufacturing feasibility and risk by combining underlying features with real world manufacturing constraints. This role requires someone with a strong understanding of computational geometry, algorithm analysis and code design.

Responsibilities :

Design, develop, and implement computational algorithms to solve complex engineering problems related to manufacturing processes (e.g., quoting, optimization, quality control).

Design, develop and deploy algorithms to extract geometric features from 2 D and 3 D CAD models.

Design, develop and deploy algorithms to detect Design for Manufacturability (DFM) issues of 2 D and 3 D CAD models.

Identify practical solutions to problems involving 2 D and 3 D geometry, topology, numerical analysis, manipulation of curves, surfaces and boundary representation topology.

Leverage machine learning and artificial intelligence techniques to improve efficiency and decision-making within the manufacturing platform.

Collaborate with operations and product teams to understand critical issues and develop novel solutions.

Collaborate with data scientists and software engineers to integrate computational solutions.

Document code and algorithms for maintainability and knowledge sharing.

Stay up-to-date on the latest advancements in computational engineering and related fields.

Requirements :

Masters / M. S. or Ph D degree in applied math, physics, computer science, or engineering required.

8+ years of progressive experience in applying computational methods to solve engineering problems with a proven track record of success.

Demonstrated experience in building CAD / CAE systems : surface modeling, solid modeling, part / assembly modeling, drafting.

Demonstrated experience in developing geometric modeling kernel, especially working with analytical geometry, parametric modeling, freeform geometry (NURBS, spline surfaces, Bézier curves), topological data structures (B-Rep scheme), geometry healing and repair, high-performance data structures and algorithms.

Participation in the development of 3 D modeling applications, like Solid Edge, Smart Plant3 D, Surface Works, Autodesk Inventor, Pro-Engineer, Solid Works, ACIS is a plus.

Demonstrated experience with HOOPS Exchange API, PRC and DXF format and specifications.

Research experience in computational geometry, differential geometry, computational fabrication, computational dynamics, or related fields.

Proficient in linear algebra, multivariable calculus, numerical methods, differential equations and other areas of scientific computation, like floating point arithmetic and numerical error analysis.

Familiarity with industry-specific standards (e.g., ISO, ASME) and guidelines for CAD / CAE software.

Strong knowledge of manufacturing processes and materials science.

Fluent in C++ (C++11 / 14 / 17), including tools like CMake, GDB, SWIG, etc.

Experience in Python, Cython, numpy, numba and cloud computing platforms a plus

Proficiency in software engineering best practices, including object-oriented design, code versioning, and testing.

Strong documentation skills for developing user manuals, technical reports, and internal documentation to support maintainability and reproducibility.