Summary / Role Purpose

The R&D Engineer II contributes to the development of software products and 
supporting systems. In this role, the R&D Engineer II will collaborate with a 
team of expert professionals to understand customer requirements and accomplish 
development objectives.   

 

Key Duties and Responsibilities

Performs moderately complex development activities, including the design, 
implementation, maintenance, testing and documentation of software modules and 
sub-systems
Understands and employs best practices
Performs moderately complex bug verification, release testing and beta support 
for assigned products. Researches problems discovered by QA or product support 
and develops solutions
Understands the marketing requirements for a product, including target 
environment, performance criteria and competitive issues
Works under the general supervision of a development manager
Write software code to provide new features within the existing ANSYS Fluent 
adjoint solver environment using the C and C++ programming languages, and help 
maintain existing features; develop a suitable graphical/text user-interface as 
needed
Ensure robustness and reliability of the adjoint solver
Contribute to technologies such as gradient-based optimization, multi-objective 
design, mesh morphing, topology optimization, and goal-based mesh adaption
Pursue research in new applications of adjoint methods for industrial problems
Develop unit tests to verify code implementation, and develop regression tests 
for new features
Develop documentation as needed
Communicate with ANSYS Support & Services staff, and ANSYS clients, to provide 
education and guidance on adjoint technologies and their applications
Participate in planning of development and research activities
 

Minimum Education/Certification Requirements and Experience

BS in applied mathematics, mechanical/aerospace engineering, or related field 
with 2 years’ experience or MS
Working experience with continuous or discrete adjoint methods in fluid 
dynamics, flow solver algorithms and discretization schemes, parallel computing, 
and the associated numerical analysis, C++ and C and object-oriented 
programming, and design optimization methods
 

Preferred Qualifications and Skills

Ph.D. in applied mathematics, mechanical/aerospace engineering or related 
discipline with a focus on discrete adjoint methods in computation fluid 
dynamics (CFD) is preferred.
Technical knowledge and experience with automatic differentiation methods, 
gradient-based optimization, multi-objective design, mesh morphing, topology 
optimization, goal-based mesh adaption, and finite volume flow solver
Publications in the field (published or pending publication) desired.
Experience in a large-scale commercial software development environment
Good communication and interpersonal skills
Ability to learn quickly and to collaborate with others in a geographically 
distributed team