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Internship Hpc Engineer Jobs in Washington (NOW HIRING)

DDN

Senior Sales Engineer - US Federal

Washington, DC · On-site

$120 - $180/hr

Architect storage for AI/ML training, HPC simulations, data analytics, and GPU-accelerated ... Exposure to storage/systems through coursework, internships, or projects * Strong analytical and ...

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Internship Hpc Engineer information

What is an internship HPC engineer?

Internship HPC (High Performance Computing) Engineers are students or recent graduates who assist in designing, optimizing, and maintaining advanced computing systems used for complex tasks such as scientific simulations, data analysis, and machine learning. These interns often work with supercomputers, clusters, and parallel processing software to support research and engineering applications. Their responsibilities may include coding, troubleshooting hardware or software, and collaborating with more experienced HPC engineers. An HPC internship provides hands-on experience in a rapidly growing technology field and can lead to full-time roles in research, academia, or industry.

What is the difference between Internship Hpc Engineer vs Hpc Engineer?

AspectInternship Hpc EngineerHpc Engineer
CredentialsTypically pursuing or recently completed relevant degreeBachelor's or Master's in Computer Science, Engineering, or related field
Work EnvironmentInternship programs, entry-level projects, supervised tasksFull-time professional setting, independent project management
Industry UsageTraining and skill development in high-performance computingDesign, optimize, and maintain HPC systems in industry or research

The main difference is that an Internship Hpc Engineer is a trainee or entry-level position focused on learning and gaining experience, while an Hpc Engineer is a full-time professional responsible for managing HPC systems. Internships serve as a stepping stone toward a full career as an Hpc Engineer, with the latter requiring more experience and expertise.

What types of projects and technologies will I typically work with as an internship HPC engineer?

As an HPC Engineer intern, you can expect to work on projects involving the setup, maintenance, and optimization of high-performance computing clusters. Daily tasks may include configuring networking, managing job schedulers, optimizing code for parallel processing, and troubleshooting hardware or software issues. You'll often collaborate with researchers, software developers, and IT staff to ensure systems run efficiently and meet user needs. This internship provides hands-on experience with technologies like Linux, MPI, Slurm, and various compilers, offering valuable exposure to both hardware and software aspects of supercomputing environments.

What are the key skills and qualifications needed to thrive as an internship HPC engineer, and why are they important?

To thrive as an Internship HPC Engineer, you typically need a background in computer science, engineering, or a related field, with strong programming skills in languages like C, C++, or Python. Familiarity with Linux environments, parallel computing frameworks (such as MPI or OpenMP), and common HPC job schedulers is highly beneficial. Strong problem-solving abilities, teamwork, and effective communication help interns excel in collaborative, research-driven environments. These skills and qualities are crucial for contributing to complex computational projects and ensuring efficient use of high-performance computing resources.
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Internship Hpc Engineer jobs near you
Infographic showing various Internship Hpc Engineer job openings in Washington as of June 2026, with employment types broken down into 1% Internship, 97% Full Time, and 2% Part Time. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Senior Sales Engineer - US Federal

DDN

Washington, DC • On-site

$120 - $180/hr

Other

Posted yesterday

New

Job description

As a Senior Sales Engineer, you'll architect high-performance storage solutions that enable customers to achieve their boldest ambitions. Work across finance, pharmaceuticals, education, and physical AI—designing systems that power real-time trading, accelerate drug discovery, enable groundbreaking research, and fuel autonomous systems.

You'll translate complex customer requirements into elegant technical solutions, demonstrate capabilities through POCs and benchmarks, and serve as a trusted advisor throughout the sales cycle.

What You'll DoCustomer Engagement
  • Partner with customers to understand their critical data challenges—high-frequency trading, genomics processing, AI model training, or autonomous vehicle sensor fusion
  • Translate technical requirements into elegant, scalable storage solutions that exceed expectations
  • Act as trusted technical advisor throughout the sales cycle
Solution Design
  • Architect storage for AI/ML training, HPC simulations, data analytics, and GPU-accelerated workloads
  • Design for reliability, resilience, security, and scale—balancing performance with data protection
  • Create BOMs, system architectures, and technical proposals for complex RFPs
  • Conduct live demos, POCs, and performance benchmarking
  • Integrate with GPU clusters, Kubernetes, cloud platforms, and AI frameworks
Innovation & Growth
  • Stay current on AI infrastructure and storage technology trends
  • Collaborate with Product and Engineering teams using field insights
  • Mentor team members and contribute to technical thought leadership
  • Shape product direction based on customer needs
What You BringTechnical Foundation (All Levels)
  • Strong understanding of storage and data architectures: SAN, NAS, object storage, parallel file systems
  • Knowledge of architectural patterns for reliability, resilience, security, and scale
  • Understanding of storage and data protocols: S3, POSIX, NFS, SMB
  • Familiarity with network protocols: TCP/IP, InfiniBand, RDMA
  • Curiosity about massively parallel technologies (Lustre, GPFS, Exascaler)
  • Aptitude for AI workloads and how storage enables AI innovation
  • Ability to communicate technical concepts to both engineers and executives
Entry Level (0-3 years)
  • Bachelor's in Computer Science, Engineering, or related field (or equivalent experience)
  • Exposure to storage/systems through coursework, internships, or projects
  • Strong analytical and problem-solving skills
  • Customer-facing communication skills
Experienced (3+ years)
  • 3-8+ years in pre-sales, solutions architecture, or technical consulting
  • Proven track record designing storage/infrastructure solutions
  • Hands-on experience with enterprise storage systems
  • Experience with AI/ML infrastructure, HPC, or high-performance workloads (preferred)
  • Success managing complex technical sales cycles
What Sets You Apart
  • Genuine curiosity about AI and its impact across industries
  • Ownership mindset—you solve problems until they're solved
  • Ability to translate technical complexity into business value
  • Thrive in fast-evolving technology environments
  • Collaborative team player with integrity and empathy
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