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Internship High Performance Computing Engineer Jobs in Virginia

Cloud Computing Engineer

Chantilly, VA ยท On-site

$112K - $179K/yr

... high-performing team. As part of the Infrastructure Operations and Maintenance Support team you ... performance, monitoring, and incident response, among other things, of the Cloud Infrastructure ...

DevOps Engineer

Herndon, VA ยท On-site

$54.25 - $74.25/hr

... High Performance Computing (HPC) environments and other mission-critical contracts.In this role ... engineer with strong Linux and automation experience who enjoys building scalable infrastructure ...

DevOps Engineer

Herndon, VA ยท On-site

$54.25 - $74.25/hr

... High Performance Computing (HPC) environments and other mission-critical contracts. In this role ... engineer with strong Linux and automation experience who enjoys building scalable infrastructure ...

DevOps Engineer

Herndon, VA

$54.25 - $74.25/hr

... High Performance Computing (HPC) environments and other mission-critical contracts. In this role ... engineer with strong Linux and automation experience who enjoys building scalable infrastructure ...

HPC Software Architect

Reston, VA ยท On-site

$150 - $190/hr

SIMILAR CAREER TITLES High-Performance Computing Architect, Parallel Computing Architect, Computational Systems Architect, HPC Systems Engineer, Software Optimization Architect, Supercomputing ...

SIMILAR CAREER TITLES High-Performance Computing Architect, Parallel Computing Architect, Computational Systems Architect, HPC Systems Engineer, Software Optimization Architect, Supercomputing ...

HPC Software Architect

Chantilly, VA ยท On-site

$140 - $210/hr

SIMILAR CAREER TITLES High-Performance Computing Architect, Parallel Computing Architect, Computational Systems Architect, HPC Systems Engineer, Software Optimization Architect, Supercomputing ...

SIMILAR CAREER TITLES High-Performance Computing Architect, Parallel Computing Architect, Computational Systems Architect, HPC Systems Engineer, Software Optimization Architect, Supercomputing ...

SIMILAR CAREER TITLES High-Performance Computing Architect, Parallel Computing Architect, Computational Systems Architect, HPC Systems Engineer, Software Optimization Architect, Supercomputing ...

Showing results 41-60

Internship High Performance Computing Engineer information

What are the key skills and qualifications needed to thrive as an internship high performance computing engineer?

To thrive as an Internship High Performance Computing Engineer, you need a solid background in computer science fundamentals, programming (especially in C/C++ or Python), and a familiarity with parallel computing concepts, often supported by coursework or relevant project experience. Experience with Linux environments, HPC clusters, and distributed computing frameworks, as well as tools like MPI, OpenMP, or Slurm, is commonly required. Strong problem-solving skills, attention to detail, and the ability to collaborate effectively within technical teams help interns stand out. These skills ensure you can efficiently support computational research, resolve technical challenges, and contribute meaningfully to HPC projects.

What is the difference between Internship High Performance Computing Engineer vs Internship Data Scientist?

AspectInternship High Performance Computing EngineerInternship Data Scientist
Required SkillsProgramming (C++, Python), parallel computing, HPC systemsStatistics, machine learning, data analysis, Python/R
Work EnvironmentResearch labs, tech companies, academia with focus on HPC systemsTech firms, finance, healthcare, research institutions
Industry UsageHigh-performance computing projects, scientific simulationsData analysis, predictive modeling, business insights

Internship High Performance Computing Engineers focus on developing and optimizing computational systems for large-scale scientific and engineering problems, requiring skills in parallel programming and HPC environments. In contrast, Internship Data Scientists analyze data to extract insights, using statistical and machine learning techniques. Both roles are valuable in tech and research sectors but differ in technical focus and daily tasks.

What is an internship high performance computing engineer?

An Internship High Performance Computing (HPC) Engineer is a student or early-career professional who works with advanced computing systems designed for processing large data sets and complex calculations at high speeds. During the internship, they assist in developing, optimizing, and maintaining HPC infrastructure, software, or applications used in scientific research, engineering, or data analysis. The role often involves learning about parallel computing, cluster management, and performance tuning, while gaining hands-on experience with cutting-edge technologies. Interns work under the supervision of experienced HPC engineers, contributing to projects that advance computational capabilities in various fields.

What types of projects can I expect to work on as an internship high performance computing engineer?

As an Internship High Performance Computing (HPC) Engineer, you will typically contribute to projects involving optimization of scientific applications, performance analysis, and cluster management. Interns often assist with benchmarking software, troubleshooting issues in parallel computing environments, and supporting researchers with technical solutions. You'll likely collaborate closely with senior HPC engineers, system administrators, and academic researchers to ensure efficient use of computing resources. This hands-on experience provides valuable insight into real-world challenges faced in HPC environments and helps build a strong foundation for future roles in the field.

What are the most commonly searched types of High Performance Computing Engineer jobs in Virginia?

The most popular types of High Performance Computing Engineer jobs in Virginia are:

What are popular job titles related to Internship High Performance Computing Engineer jobs in Virginia?

For Internship High Performance Computing Engineer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Internship High Performance Computing Engineer jobs in Virginia look for?

The top searched job categories for Internship High Performance Computing Engineer jobs in Virginia are:

What cities in Virginia are hiring for Internship High Performance Computing Engineer jobs?

Cities in Virginia with the most Internship High Performance Computing Engineer job openings:

Software Engineer with Security Clearance

Grey Matters Defense Solutions, LLC

Arlington, VA โ€ข On-site

$140K - $190K/yr

Other

Medical, Dental, Vision, Life, Retirement

Re-posted 28 days ago


Job description

Position: Senior CUDA|C++ Software Engineer
Location: Arlington, VA
Clearance: TS/SCI Grey Matters Defense Solutions, LLC is a specialized firm in software development, data
analytics algorithms, and advanced remote sensing technologies, tailored to meet the complex
demands of defense and intelligence sectors. Staffed by a diverse range of professionalsโ€”from
senior-level experts from organizations like the Defense Intelligence Agency (DIA), National
Reconnaissance Office (NRO), Defense Advanced Research Projects Agency (DARPA), and the U.S.
Armed Forces, to recent graduates and military recruits. By integrating the skills of subject matter
experts, analysts, software engineers, and data scientists, Grey Matters Defense Solutions, LLC
delivers unique artificial intelligence algorithms and applications, positioning itself as a leader in
innovative solutions for defense and intelligence. Summary The Senior CUDA/C++ Software Engineer designs, develops, and optimizes high-performance GPU-
accelerated software solutions supporting advanced signal processing, RF exploitation, and SIGINT
mission applications. This position focuses on building scalable, production-quality software using
C++, CUDA, and NVIDIA GPU technologies to process large volumes of data in real-time or near-
real-time environments.
The ideal candidate possesses deep expertise in modern C++ development, GPU architecture,
CUDA optimization, and high-performance computing (HPC). Experience with DSP, RF signal
processing, and SIGINT applications is highly desirable. Minimum Qualifications
8+ years of professional software engineering experience. 5+ years of experience developing high-
performance applications in C++. 3+ years of hands-on CUDA development experience in
production environments. Experience optimizing applications for throughput, latency, memory
utilization, and scalability. Experience developing software on Linux platforms. CUDA and GPU Software Computing
Design, develop, and maintain GPU-accelerated applications using CUDA and modern C++.
Develop custom CUDA kernels optimized for performance, scalability, and maintainability.
Implement efficient memory management strategies utilizing shared memory, pinned memory,
unified memory, and asynchronous transfers. Optimize GPU utilization through concurrency,
streams, kernel fusion, and multi-GPU processing techniques. Integrate GPU-accelerated ,capabilities into larger software systems and mission applications. High Performance Computing
Analyze and optimize application performance across CPU and GPU architectures. Profile
applications using NVIDIA Nsight and related performance analysis tools. Identify and resolve
bottlenecks related to memory bandwidth, kernel execution, synchronization, and data movement.
Develop benchmark frameworks and performance regression testing capabilities. Software Engineering
Develop clean, maintainable, and well-documented code using modern C++ standards. Participate
in software architecture, design reviews, and code reviews. Build automated unit, integration, and
performance testing frameworks. Support CI/CD pipelines and automated build environments.
Collaborate with cross-functional engineering teams to deliver mission-critical software
capabilities. Education
Bachelor's degree or higher in Computer Science, Computer Engineering, Electrical Engineering,
Applied Mathematics, Physics, or a related STEM discipline. Technical Skills
C++17/20 CUDA
Python
Linux Development Git
CUDA Kernel Development NVIDIA GPU Architecture CUDA Streams and Concurrency Memory
Optimization
Multi-GPU Processing Nsight Profiling cuFFT
cuBLAS
Object-Oriented Design Design Patterns
Unit Testing CI/CD
Performance Benchmarking Software Architecture Digital Signal Processing RF Systems
IQ Data Processing SIGINT Applications
High-Performance Computing Grey Matters Defense Solutions, LLC provides transformational leadership, building aware-
winning teams and products. Grey Matters Defense Solutionsโ€™ most valuable assets are the more
than 60 + employees. Our employees have a depth of analytical knowledge which provides them
with a deep understanding of managing and delivering products within government systems. Salary Range: $140,000 - $190,000 + additional 25% of Salary into SEP and 25% into IBA Grey Matters Defense Solutions, LLC offer a comprehensive benefits package including medical,
dental, vision, life insurance, short-term, long-term disability, and voluntary benefits such as
accident, hospital indemnity, and wellness benefits. Additional Benefits: , โ€ข 25% (of salary) employer contribution distributed monthly to your SEP IRA โ€ข Individual Benefit Account 25% (of salary to pay for medical insurance premiums and funded time off) โ€ข Employee assistance program โ€ข Employee discount โ€ข Health savings account โ€ข Referral program Visit us at Grey Matters Defense Solutions
https://www.linkedin.com/company/grey-matters-defense-solutions/ โ€œKnow Your Rights: Workplace Discrimination is Illegalโ€
Questions contact: All qualified applicants will receive consideration for employment regardless of race, color, religion,
sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Grey Matters Defense Solutions, LLC participates in E-Verify. Federal law requires all employers to
verify the identity and employment eligibility of all persons hired to work in the United States.
Grey Matters Defense Solutions, LLC complies with the Colorado Artificial Intelligence Act (CAIA)
and maintains policies, controls, and oversight practices designed to mitigate algorithmic
discrimination, promote transparency, and ensure responsible use of AI systems in accordance
with Colorado law.