HPC Research Internship: Petascale Systems

Los Alamos National Laboratory; Los Alamos (NM); Hybrid; USD 28,000 - 48,000; Full time

Benefits offered by this job

Medical insurance

Dental and vision insurance

Life and disability insurance

Parental leave

401(k) with matching

Tuition assistance

Flexible schedules and PTO/holidays

Onsite gyms

Job summary

Los Alamos National Laboratory seeks recent graduates for challenging paid post-baccalaureate internships in its High Performance Computing Division. You'll work on projects with a mentor and present your progress to colleagues while contributing to state-of-the-art software engineering and data management for petascale HPC systems.

Projects vary by skills and needs; location is hybrid, with training and mentorship provided to help you grow in a world-class research environment.

Qualifications

• Post-baccalaureate internship for recent graduates.
• Q clearance eligibility required.
• Hybrid work location within 2 hours commute.

Responsibilities

• Work on challenging HPC projects under a mentor.
• Present project progress to colleagues.
• Engage in research, development and software engineering for large-scale HPC environments.

Skills

Programming skills (C++, Python, SQL,

Education

Computer Science

Computer Engineering

Electrical and Computer Engineering

Systems Administration

Computer Networking

Computer Systems Analysis

Software Engineer

Electrical Engineering

Information Systems Security Management

Mathematics or Physics

Tools

Linux system management

Linux-based computer security

Parallel Programming

HPC System Software

Data Storage

FPGA Programming

Job description

Los Alamos National Laboratory seeks recent graduates for challenging paid post-baccalaureate internships in its High Performance Computing Division. You'll work on projects with a mentor and present your progress to colleagues while contributing to state-of-the-art software engineering and data management for petascale HPC systems.

Projects vary by skills and needs; location is hybrid, with training and mentorship provided to help you grow in a world-class research environment.