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Internship High Performance Computing Engineer Jobs in New York

QCi

Senior Engineer, Quantum Algorithms

Hoboken, NJ · On-site

Engineering About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated ... high-performance computing, artificial intelligence, cyber security as well as remote sensing ...

QCi

Technical Account Manager

Hoboken, NJ · On-site

You will work closely with engineering, product, and commercial teams to help customers understand ... Monitor industry trends across photonics, high-performance computing, and optimization technologies.

Quantum Computing Inc.

FPGA Design Engineer

Hoboken, NJ · On-site

$134K - $185K/yr

Engineering Reports to: FPGA Engineering Manager About Us: Quantum Computing Inc. (QCi) (Nasdaq ... high-performance computing, artificial intelligence, cyber security as well as remote sensing ...

Quantum Computing Inc.

Test Engineer

Hoboken, NJ · On-site

Test Engineer About Us Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated ... high-performance computing, artificial intelligence, cyber security as well as remote sensing ...

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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.
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Internship High Performance Computing Engineer jobs near you

Senior Linux Engineer (New York)

Elliot Partnership

New York, NY • On-site

Full-time

Re-posted 28 days ago

Job description

 OVERVIEW
We seek a senior systems engineer with extensive Linux experience to join the Quant Systems team. This is a hands-on technical role within an engineering team responsible for high-performance trading and research infrastructure. It offers the opportunity to be part of an inclusive, collaborative, and engaging working environment.
WHAT YOU'LL DO DAY-TO-DAY
You'll be part of a global team that designs and maintains the firm's largest compute infrastructure, which includes operating system platforms, software development tooling, high-performance computing, networking, and storage for research and trading. You'll have the opportunity to work on a wide variety of technology initiatives in a distributed computing environment with a primary focus on Linux-based systems. This includes, but is not limited to, workload scheduling design and implementation, fleet management, clustered file system design and operation, software design and life cycle (SDLC), kernel and network performance tuning for low-latency and high-throughput applications, and metrics collection and data mining analysis.
WHO WE'RE LOOKING FOR
• A degree in computer science (or another technical discipline) is required, as is 10 to 20 years of comparable work experience.
• In-depth knowledge of Linux-based operating systems and associated configuration management tools is required.
• Development experience in Python is required. Experience with Rust, C, and Go is preferred but not required.
• Applicants who have experience with automated build, software deployment, and CI/CD systems are highly sought after.
• Candidates should have excellent troubleshooting capabilities and experience with diagnostic/tracing tools. • Impressive communication skills are essential, as the role will entail significant interaction with different departments across the firm.
• Experience maintaining infrastructure related to distributed systems, high-performance computing, large-scale storage, and a working knowledge of network protocols is preferred.

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