Additive Simulation and Software Engineer

Leidos is seeking a passionate, detail-oriented problem-solver to serve as a Data Analysis Engineer to support Advanced Materials Department. With offices across the United States engaging in the defense, space, cyber and commercial fields, Leidos provides responsive, cost-effective engineering, scientific and IT solutions.

The Advanced Materials Department is a multi-disciplinary team that provides materials engineering expertise for every phase of a program. With backgrounds in materials science, chemistry/chemical engineering, physics, among others, the department has experience in executing a variety of efforts from R&D, to prototype development, to supporting design and build tasks for manufacturing. Beyond subject matter expertise, the department has the analysis equipment, multi-physics modelling capability and experimental lab space to support activities ranging from proof-of-concept experimentation to manufacturing support.

Primary Responsibilities

As an integral member of the Advanced Materials Department, this position will balance multiple activities including but not limited to:

- Support multiple Leidos programs in the area of additive manufacturing (AM) over a broad range of responsibilities such as modeling and simulation, data aggregation and analysis, and testing

- Analyze and correlate test data with material properties, design attributes, and thermal profiles

- Solving complex engineering challenges with both analytical and experimental approaches.

Basic Qualifications

• Bachelor’s Degree in Materials Engineering, Chemical Engineering, Mechanical Engineering, or equivalent STEM degree from an ABET accredited institution with 4+ years applicable experience
• Must be a resident of Crane, IN area or willing to relocate to work on-site at the Crane, IN office
• Experience performing research and development activities such as experimentation and/or modeling and simulation.
• Experience using a programming language (ex. Python, MATLAB etc.) to solve engineering problems

Preferred Qualifications

• Familiarity with metal additive manufacturing processes and technologies
• Experience creating custom scripts for modeling/simulation problems
• Experience using Python to solve engineering and scientific problems
• Experience performing statistical analysis of large multivariable datasets
• Experience anchoring modeling and simulation tools using experimentally derived datasets (ex. CT data, mechanical property data, process variable data, etc.)
• Demonstrated experience conducting experimentation and analyzing uncertainties of the associated measurements
• Experience leading tasks or elements of technical projects

Original Posting Date:

While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.