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Internship Hpc Engineer Jobs in Virginia (NOW HIRING)

Physical Design Engineer

Bristol, VA · On-site

$80 - $120/hr

... internships. * Familiarity with EDA tools for place & route, STA, and sign‑off. * Basic ... Experience or coursework in high‑performance computing (HPC), AI accelerators, or networking ...

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 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.

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 are the most commonly searched types of Hpc Engineer jobs in Virginia?

The most popular types of Hpc Engineer jobs in Virginia are:

What cities in Virginia are hiring for Internship Hpc Engineer jobs?

Cities in Virginia with the most Internship Hpc Engineer job openings:

Physical Design Engineer

Fractile

Bristol, VA • On-site

$80 - $120/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Fractile’s mission is to enable a new chapter in the AI revolution. We’re pioneering AI innovation where hardware and software join to create something extraordinary, unlocking the power of the world’s largest language models with speed increases of x100. Our team is rapidly expanding, and we're searching for visionary engineers, scientists, and thinkers who share our passion for pushing boundaries and redefining what's possible. If you're ready to join a dynamic group of innovators shaping AI's future, we want to hear from you!

We are seeking a Physical Design Engineer to contribute to our next‑generation chip designs. As a Physical Design Engineer, you will support the implementation of complex IC physical designs, from synthesis to sign‑off. You will collaborate with cross‑functional teams, including logic design, verification, and process technology, to optimise performance, power, and area (PPA) while ensuring design integrity and manufacturability.

Key Responsibilities:
  • Support the physical implementation of ASIC/SoC designs, including floor planning, placement, clock tree synthesis (CTS), routing, and sign‑off.
  • Work on synthesis, timing analysis (STA), and optimisation to achieve strong PPA metrics.
  • Assist in power planning and analysis, addressing IR drop, electromigration, and related effects.
  • Ensure design rule check (DRC), layout vs. schematic (LVS), and other physical verification compliance.
  • Collaborate with DFT engineers to integrate design‑for‑test (DFT) structures into the physical implementation.
  • Develop flows in EDA tools such as Cadence Innovus, Synopsys Fusion Compiler, Mentor Graphics Calibre, and others.
  • Work closely with RTL and architecture teams to support design feasibility, constraints, and physical‑aware RTL design.
  • Work with advanced AI tools and models to improve productivity, analysis, and design quality.
Preferred Qualifications:
  • Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or a related field.
  • 0–5 years of experience in physical design for advanced technology nodes (e.g., 7nm, 5nm, or below), including internships.
  • Familiarity with EDA tools for place & route, STA, and sign‑off.
  • Basic understanding of CMOS technology, semiconductor physics, and process limitations.
  • Exposure to timing closure, signal integrity, IR drop analysis, and formal verification.
  • Proficiency in scripting languages like TCL, Perl, or Python for automation is a plus.
  • Excellent problem‑solving skills, communication, and teamwork in a collaborative design environment.
  • Interest in working with advanced AI tools and models as part of the design workflow.
  • Experience or coursework in high‑performance computing (HPC), AI accelerators, or networking chips is a plus.
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