R&D Engineer II – Additive Manufacturing

SUMMARY

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. The R&D Engineer II will work closely with researchers from additive development team to perform scientific research activities of thermal simulation for an additive manufacturing process.

RESPONSIBILITIES

• Performs moderately complex development activities, including the design, implementation, maintenance, testing and documentation of software modules and sub-systems for an additive manufacturing process simulation
• 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
• Work with the AM development team to advance the research of AM thermal analyses
• Develop and mature our capabilities to simulate LPBF and DED processes with multiple process parameters
• Drive new algorithm development to push simulation speed and improve code infrastructure

MINIMUM QUALIFICATIONS

• BS Mechanical Engineering, Material Engineering, Industrial Engineering, Computer Science, Numerical Methods, Physics or related field with 2 years’ experience or MS
• Commercial Experience with software development using Python and C++
• Experience with Metal Additive Manufacturing Processes (LPBF, DED, Binder jetting sintering etc.) and Finite Element Analysis (FEA)
• Hands-on experience with multiscale thermal modeling, parallelization, and code infrastructure design
• Experience delivering high-quality products in a large-scale commercial software development environment

PREFERRED QUALIFICATIONS

• PhD in Mechanical Engineering, Material Engineering, Industrial Engineering, Computer Science, Numerical Methods, Physics or related field with 1 year experience
• Excellent technical knowledge in Ansys Workbench and Mechanical
• Experience with non-linear simulation using non-linear material properties
• Familiar with analytical approaches of thermal simulation for a LPBF process
• Experience with machine learning and crystal plasticity is a plus
• Passion for crafting robust and efficient code
• Experience delivering high-quality products in a large-scale commercial software development environment
• Understanding of customer requirements and tools used in this domain
• Good communication and interpersonal skills
• Ability to work collaboratively in a geographically distributed team
• Team player, responsible, motivated, and ability to work collaboratively in a cross-functional team