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Internship High Performance Computing Engineer Jobs in New Jersey

We are now looking for a senior HPC software engineer. As a member of our the High Performance Computing Software development team, you will be responsible for designing and implementing new ...

RF/Systems Engineer Location: Hoboken, NJ Division: Technology Department: Defense Reports to ... high-performance computing, artificial intelligence, cyber security as well as remote sensing ...

Engineering Reports to : Manager, Product Design and Manufacturing About Us Quantum Computing Inc ... high-performance computing, artificial intelligence, cyber security as well as remote sensing ...

RF Systems Engineer

Hoboken, NJ ยท Hybrid

$104K - $147K/yr

RF/Systems Engineer Location: Hoboken, NJ Division: Revenue Department: Defense About Us: Quantum ... high-performance computing, artificial intelligence, cyber security as well as remote sensing ...

Senior Hardware Engineer

Hoboken, NJ ยท On-site

$120K - $161K/yr

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

Showing results 21-40

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 New Jersey? The most popular types of High Performance Computing Engineer jobs in New Jersey are:
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Test Engineer,Hardware- Photonics

Quantum Computing Inc.

Hoboken, NJ โ€ข On-site

Full-time

Re-posted 27 days ago


Job description

Test Engineer, Hardware
Location: Cranbury, NJ
About Us
Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. QCi products are designed to operate at room temperature and low power at an affordable cost. The Company's portfolio of core technology and products offer unique capabilities in the areas of high-performance computing, artificial intelligence, cyber security as well as remote sensing applications.
Position Description
QCi is seeking a dynamic Test Engineer with Hardware expertise to be part of a team that develops and produces world class semiconductor-based products for a range of applications, including optical communications, remote sensing (e.g., lidar and laser rangefinding), quantum sensing, and high-performance imaging. Working collaboratively with other members of the team, the successful candidate will play a crucial role in the design, development, and testing of advanced optical and optoelectronic components and modules including state-of-the-art III-V avalanche photodetectors and other compound semiconductor devices. This individual will be responsible for developing test capabilities to support R&D activities, prototype and product characterization, and product reliability. This is a highly cross-functional role requiring the development of innovative test solutions that deliver appropriate levels of precision, efficiency, and automation.
Duties and Responsibilities
  • Develop and implement testbeds to evaluate the performance of optoelectronic chips, components, and modules
  • Provide test engineering support for the design, prototyping, and delivery of proof-of-concept devices for early-stage optoelectronic module development
  • Use design of experiment and failure analysis techniques to identify and resolve issues related to optical device performance
  • Develop and implement strategies for test automation to improve testing accuracy and efficiency, including solutions for testing in a production environment
  • Devise well-organized solutions for test data storage and retrieval
  • Provide analysis of test data related to optical and optoelectronic device performance, including distillation and presentation of key results
  • Take responsibility for engineering change orders related to optical and optoelectronic components
  • Provide technical support and collaborate with product development teams on optical design and product development
  • Contribute to continuous improvement initiatives related to development and production testing

Required Skills and Experience
  • Bachelor's degree in Physics, Electrical Engineering, or a related field
  • 3+ years of experience as a test engineer, with experience in testing optoelectronic devices
  • Experience in developing, scripting, and running test software for optical components and systems, including testbed development and automation
  • Hands-on experience with a wide range of lab equipment and tools related to optoelectronic device testing
  • Strong understanding of design of experiment principles and failure analysis techniques to optimize optical system performance
  • Excellent problem-solving skills, attention to detail, and ability to work effectively in a collaborative team environment
  • Strong communication skills to convey technical information effectively to cross-functional teams and stakeholders

Additional Preferred Skills
  • A Masters or PhD in Physics, Electrical Engineering, or a related field
  • Experience with testing components related to photodetector technology, particularly avalanche photodiodes
  • Working knowledge of compound semiconductor device physics
  • Proficiency in optical software tools such as Zemax or FRED for designing and analyzing optical systems
  • Experience in designing PCBs for testbed development
  • Familiarity with CAD tools for design and documentation purposes
  • Proficiency in Python scripting
  • Experience with product development involving optoelectronic devices

Incumbent(s) in this position may be required to perform other duties and special assignments not specifically stated above. Statements outlined in this section are designated as essential job functions in accordance with the Americans with Disabilities Act of 1990.