R&D Engineer II (Advanced C++, DS, Algos)

hod (FEA)

• Collaborate with a team of expert professionals to understand customer requirements and accomplish development objectives.

• Perform moderately complex development activities, including the design, implementation, maintenance, testing and documentation of software modules and sub-systems.

• Understand and employ best practices.

• Perform moderately complex bug verification, release testing and beta support for assigned products.

• Research problems discovered by QA or product support and develops solutions.

• Understand the marketing requirements for a product, including target environment, performance criteria and competitive issues.

• Work under the general supervision of a development manager.

Minimum Education/Certification Requirements and Experience

• Master's degree or foreign equivalent in Computer Science, Computational Science, Mathematics, Engineering, Mechanical Engineering or a related field of study.

• Alternate Acceptable Education and Work Experience Requirement: Bachelor's degree or foreign equivalent in Mechanical, Aerospace, Computer Science or related engineering field, and two (2) years of experience in a related position.

• Work experience or academic coursework must have included:

  • Experience with C++;
  • Knowledge of data structures and algorithms;
  • Knowledge of object-oriented programming;
  • Knowledge of numerical linear algebra;
  • Experience in a large-scale commercial software development environment; and
  • Experience with software design and development methodologies;
  • Exposure to scripting languages such as Python or equivalent

• Excellent written and oral communication skills

Preferred Qualifications and Skills

• Visual Studio IDE, development of plugins or application add-ins, unit testing methodologies,

• COM usage and .NET framework.

• Ability to learn quickly and to collaborate with others in a geographically distributed team

• Experience in using Microsoft Visual Studio and Software Configuration management tools (SVN, GIT)

• Coursework in Finite Element Analysis (FEA)

• Knowledge of agile development methodologies

• Experience in doing research in engineering discipline like fracture mechanics, reduced order models, additive manufacturing etc. or computer science domain like distributed computing, parallel programming, artificial intelligence/machine learning etc.

• Knowledge of software design patterns and test-driven development