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Intern, R&D Graduate Summer - Advanced Decision Analytics, Onsite

AT Sandia National Laboratories
Sandia National Laboratories

Intern, R&D Graduate Summer - Advanced Decision Analytics, Onsite

Albuquerque, NM

What Your Job Will Be Like:

Our expanding department is looking for motivated student interns to assist in the design, development, and application of new optimization and analysis tools. You will support a diverse range of internal and external customers by analyzing complex systems, processes, and scenarios for the Department of Defense and other U.S. government agencies. This role involves collaborating with your team at Sandia to meet customer's analytical needs and provide insights that enhance the customer's decision-making capabilities.

As an intern, you will have the chance to engage in research and development of new capabilities across various areas. This position presents both challenges and opportunities for personal and professional growth, allowing you to make a meaningful impact at a national level.

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On any given day, you may be involved in:

  • Learning about new problem domains
  • Understanding and applying new simulation or optimization tools and techniques
  • Collecting and organizing data
  • Generating, analyzing, and presenting results
  • Conducting research and development in simulation, optimization, and advanced decision analysis tools

    Successful candidates will thrive in a collaborative, multi-disciplinary team environment that prioritizes customer focus. Our department offers a variety of projects, providing ample opportunities for hands-on experience, mentoring, research, and career advancement. Some moderate travel may be required to support projects, attend conferences, and participate in continuous learning events.

Salary Range:

At Sandia, we value the important work done by our interns and its contribution to National Security. Because of this, our interns earn competitive pay rates. Our pay structure is based on earned credit hours, classification, and degree level. Your pay rate will be determined during the hire process and included in your offer package. You can view the Intern Pay Rate chart here (https://www.sandia.gov/app/uploads/sites/51/2024/10/Student-Rate-Sheet-Sept-2024.pdf) .

Qualifications We Require:

You bring the confidence and skills to be eligible for the job by meeting these minimum requirements:

  • Earned bachelor's degree
  • Currently attending and enrolled full time in the spring term immediately preceding the internship (or scheduled to graduate in the spring) in an accredited science, engineering, or math graduate program
  • Minimum cumulative GPA of 3.0/4.0
  • Ability to work up to 40 hours per week during the summer
  • Ability to secure and maintatin a U.S. security clearance which requires U.S. citizenship

Note: If you have not yet started your graduate program, please apply to an undergraduate intern position.

Qualifications We Desire:

Ideally, your background will also include some of the following:

• Experience and passion around AI/ML/RL

• Research experience as evidenced by technical presentations and/or publications.

• Demonstrated ability to independently determine and develop innovative approaches and solutions to a diverse range of technical and analytical problems.

• Strong interpersonal and teamwork skills as well as excellent verbal and written communication skills.

• Experience with discrete and multi-objective optimization methods.

• Demonstrated software development skills and familiarity with modern software development methodologies, practices, and tools. Experience using TeamForge, SVN, or similar tools along with experience using formal software development methods will be helpful. Familiarity with Visual Studio, MATLAB, and Python will be an advantage.

• Experience analyzing complex systems, processes, and scenarios is an advantage.

• A self-motivated and proactive nature, especially in the absence of clearly defined requirements.

• Demonstrated interest and ability to become familiar with new tools and techniques and apply them in analyzing complex processes, systems, and scenarios.

• An active security clearance will be helpful.

Posting Duration:

This posting will be open for application submissions for a minimum of seven (7) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time.

About Our Team:

The Advanced Decision Analytics Department (5493) designs, develops and applies unique modeling, simulation, optimization and analysis tools that combine the latest M&S technologies with advanced optimization and statistical techniques. The department primarily supports military and internal programs that involve system, system of systems (SoS), fleet, and enterprise decisions across the lifecycle from concept development through operations, sustainment, and modernization.

About Sandia:

Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:

  • Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
  • Extraordinary co-workers
  • Some of the best tools, equipment, and research facilities in the world
  • Career advancement and enrichment opportunities
  • Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
  • Generous vacations, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance

World-changing technologies. Life-changing careers. Learn more about Sandia at: http://www.sandia.gov
These benefits vary by job classification.

Security Clearance:

Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted.

Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment.

EEO:

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law.

NNSA Requirements for MedPEDs:

If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs.

If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date.

Job ID: 694703

Job Family: 91

Regular/Temporary Position: T

Full/Part-Time Status: P

Client-provided location(s): Albuquerque, NM, USA
Job ID: Sandia-FA8E1D7A417A459AB23F8079708D4DE3
Employment Type: Intern