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High Performance Computing Undergraduate Student

  • Internship
    Full-time
    Summer Internship
  • Software Engineering
    Engineering
  • Los Alamos

AI generated summary

  • You must have a GPA of 3.0+, be enrolled in an eligible degree program, provide a resume and transcript, and possess skills in HPC, programming, and Linux management.
  • You will engage in research, software engineering, and support large-scale data and computational environments while working on a challenging project under mentorship.

Requirements

  • All viable candidates must have a minimum GPA of 3.0/4.0 for consideration
  • Be admitted into a degree program, and be enrolled in a minimum of 12 credit hours in the semester prior to the internship.
  • A resume and current transcript, showing the GPA and course work requirements, are required.
  • We are seeking a wide variety of computational skills employed in an HPC environment. To receive full consideration, candidates must be pursuing one of the following undergraduate degrees (or a substantially equivalent degree), with a minimum of 72 hours, 15 of which must be upper-division coursework, which typically means a student has completed their third academic year:
  • Computer Science
  • Computer Engineering
  • Electrical and Computer Engineering
  • Electrical Engineering
  • Systems Administration
  • Computer Networking
  • Computer Systems Analysis
  • Software Engineer
  • Information Systems Security Management
  • Mathematics or Physics
  • AND, knowledge and introductory experience in one or more of the following areas:
  • Cluster Computing and System Administration
  • Programming skills (C++, Python, SQL, Perl, etc.)
  • Linux system management
  • Linux-based computer security
  • Parallel Programming
  • FPGA Programming
  • HPC System Software
  • Data Storage
  • Computer Networking
  • Location: This position will be physically located in Los Alamos, NM.

Responsibilities

  • The High Performance Computing Division (HPC) manages world-class Supercomputing Centers. Our employees engage in research, development, and state-of the-art software engineering, supporting development, design and effective use of largescale data and computational environments. Delivering computational capability and data management at petascale (i.e., across tens of thousands of processors and some of the largest, fastest, and most complex data movement and storage systems in the world) gives rise to cutting edge technical challenges. HPC Division innovates to meet those challenges. HPC is seeking undergraduate level students looking for a challenging paid internship for the current academic year and/or summer. All selected candidates will be provided with a mentor, a challenging project for their appointment, and an opportunity to present their project work and progress to colleagues. The student projects we have to offer will vary depending on the skills and interests of the candidate and our current needs.

FAQs

What is the minimum GPA requirement for applicants?

The minimum GPA requirement for applicants is 3.0/4.0.

What degree programs are eligible for this internship?

Eligible degree programs include Computer Science, Computer Engineering, Electrical and Computer Engineering, Electrical Engineering, Systems Administration, Computer Networking, Computer Systems Analysis, Software Engineering, Information Systems Security Management, Mathematics, and Physics.

How many credit hours must students be enrolled in prior to the internship?

Students must be enrolled in a minimum of 12 credit hours in the semester prior to the internship.

Is there a requirement for upper-division coursework?

Yes, applicants must have completed a minimum of 72 credit hours, with at least 15 of those being upper-division coursework.

What types of programming skills are preferred for candidates?

Preferred programming skills include C++, Python, SQL, Perl, and others suitable for HPC environments.

Will applicants have a mentor during the internship?

Yes, all selected candidates will be provided with a mentor.

Where is the physical location of this internship?

This position will be physically located in Los Alamos, NM.

Are there any specific knowledge areas that candidates should have experience in?

Yes, candidates should have knowledge and introductory experience in areas such as cluster computing, system administration, Linux management, parallel programming, and HPC system software.

Does this position require a security clearance?

No, this position does not require a security clearance.

What is the process for applying to this internship?

Applicants must create or activate a LANL Jobs Account, then log in to complete the application process by clicking on the vacancy and applying.

Is there any drug testing required for this position?

Yes, selected candidates will be subject to drug testing and other pre-employment background checks.

Does the internship provide an opportunity to present project work?

Yes, interns will have the opportunity to present their project work and progress to colleagues.

What benefits are included in this internship?

The internship includes benefits like medical insurance, dental and vision insurance, life and disability insurance, 401(k) matching, flexible schedules, and learning opportunities.

Are there accommodations available for individuals with disabilities during the application process?

Yes, reasonable accommodations will be provided upon request for individuals to participate in the application and hiring process.

Our mission is to solve national security challenges through scientific excellence.

Science & Healthcare
Industry
10,001+
Employees
1943
Founded Year

Mission & Purpose

Los Alamos National Laboratory is one of the world’s most innovative multidisciplinary research institutions. We're engaged in strategic science on behalf of national security to ensure the safety and reliability of the U.S. nuclear stockpile. Our workforce specializes in a wide range of progressive science, technology and engineering across many exciting fields, including space exploration, geophysics, renewable energy, supercomputing, medicine and nanotechnology.