R&D Associate Staff Member - Toolpathing Algorithms

Requisition Id 6765 

Purpose

The Department of Energy Manufacturing Demonstration Facility and the Manufacturing Systems Research Group at the Oak Ridge National Laboratory (ORNL) are seeking research staff to help with the development of process controls for additive manufacturing.  Slicing software is one example of user-facing software required for the functioning of additive manufacturing processes.  Combined with feedback and controls from the additive manufacturing systems, a broad software package to address these challenges must be developed.  Such a software package requires expertise in multiple computer science disciplines with the goal of developing innovative features not previously seen to advance additive manufacturing.

Major Duties/Responsibilities

The selected candidate will:

- Assist in the design, development, integration, and testing of software components related to manufacturing processes that include:

• Large scale polymer extrusion systems
• Electron beam powder bed
• Laser powder bed
• Directed energy depositions
• Large scale metal systems
• Machine tool systems
• Collaborate with a team of engineers including mechanical, material, electrical, computer scientists from industry, academia, and other national labs on the development of these systems
• Help in the development of new and advanced sensory and process controls for additive and subtractive manufacturing

Qualifications Required

The position requires:

• A Bachelor’s in Computer Science.
• Excellent oral and written communication skills to support regular interactions with sponsors, peer reviewers, and others and to prepare reports, proposals, publications, and journal articles is required.
• Strong interpersonal and communication skills to support team building and leadership are required.
• The demonstrated ability to manage project schedules, scopes, and budgets is required.
• Some activities may require export control and/or national security interests.  Therefore, U.S. citizenship is required.

Additional Qualifications Preferred

• Familiarity with C++.
• Experience in multiple computer science disciplines including but not limited to path planning, visualization, computational geometry, and optimization algorithms
• Familiarity with Machine Learning and computer vision processes
• Previous experience with additive manufacturing software development with an understanding of the AM process and its challenges

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.

If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.

ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply.  UT-Battelle is an E-Verify employer.