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Computational Materials Engineer

General Atomics Intelligence

Posted today
Secret
Unspecified
Unspecified
Engineering - Chemical
San Diego, CA (On-Site/Office)

General Atomics (GA), and its affiliated companies, is one of the world's leading resources for high-technology systems development ranging from the nuclear fuel cycle to remotely piloted aircraft, airborne sensors, and advanced electric, electronic, wireless and laser technologies.

General Atomics Electromagnetic Systems (GA-EMS) designs and manufactures first-of-a-kind electromagnetic and electric power generation systems. GA-EMS' expanding portfolio of specialized products and integrated system solutions support critical fleet, space systems and satellites, missile defense, power and energy, and process and monitoring applications for defense, industrial, and commercial customers worldwide.

We currently have an exciting position for a Computational Materials Engineer to support our Nuclear Technologies and Materials (NTM) division in San Diego, CA. Under general supervision with limited review, this position is responsible for modeling and simulation of ceramic matrix composite materials subject to extreme environments like nuclear reactor cores and hypersonic flight environments.

DUTIES AND RESPONSIBILITIES:
  • Provides practical support solutions to technical engineering problems to optimize materials performance through analysis and simulation.
  • Documents findings and communicates reports and technical presentations at engineering meetings, and participates in program reviews.
  • Supports future NTM engineering needs and the modifications required to provide next generation materials for aerospace and nuclear environments.
  • Assume technical and engineering responsibility for segments or key portions of contracts.
  • Provide technical communication within the company management and may represent the Company as a technical contact to customers.
  • Maintains the strict confidentiality of sensitive information.
  • Works in a safe manner in accordance with established operating procedures and practices

We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.

Job Qualifications

  • Typically requires a bachelors degree, masters degree or PhD in engineering or a related technical discipline from an accredited institution and progressive engineering experience as follows; six or more years of experience with a bachelors degree, four or more years of experience with a masters degree, or two or more years with a PhD. May substitute equivalent engineering experience in lieu of education.
  • Must possess general knowledge of thermo-mechanical materials modeling approaches, with knowledge in ceramics or composites desirable.
  • Experience in finite element analysis using ANSYS, ABAQUS, or similar programs.
  • Understanding of material behavior theories, including damage accumulation/failure models and how they may fit in a multiscale modeling framework.
  • Experience with the use of machine learning algorithms as applied to materials engineering is desirable.
  • Must possess the ability to understand new concepts quickly; apply them accurately throughout an evolving environment; organize, schedule, and coordinate work phases; and, determine the appropriate approach at the task level or, with assistance, at the project level to provide solutions to a range of complex problems.
  • Must have excellent communication, computer, documentation, presentation, and interpersonal skills.
  • The ability to obtain and maintain a security clearance is required
group id: 10414685
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About Us
GA-CCRi maintains and deploys production systems for users across the Intelligence Community, Department of Defense, and commercial industry. We build and develop best-in-class all domain and globally focused situational awareness capabilities that process petabytes of data from numerous streaming data sources in near real time. Our systems apply state-of-the-art algorithms and machine learning techniques to extract features and fuse data from multiple phenomenologies to form a rich live view of objects in the sky, on the sea, and on the ground. These analytics are designed to determine not just where something is, but what it is, where it's been and what it's doing. All of this "data to knowledge" is made available to end users in our own browser-based application for visualization, analysis, and understanding. We always want to do more, and that's where you come in!

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Clearance Level
Secret