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High Performance Computing Jobs in New Jersey (NOW HIRING)

Quantum Computing Inc.

FPGA Design Engineer

Hoboken, NJ · On-site

$134K - $185K/yr

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 ...

Quantum Computing Inc.

Test Engineer

Hoboken, NJ · On-site

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 ...

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High Performance Computing information

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$40.6K

$101K

$155.8K

How much do high performance computing jobs pay per year?

As of Aug 22, 2026, the average yearly pay for high performance computing in New Jersey is $101,044.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $127,900.00 per year, depending on experience, location, and employer.

What is high performance computing?

A High Performance Computing (HPC) job involves designing, managing, and optimizing advanced computing systems used for complex calculations, simulations, and data processing. Professionals in this field work with supercomputers, parallel computing frameworks, and high-speed networks to enhance computational efficiency. HPC specialists are commonly employed in scientific research, engineering, finance, and artificial intelligence to solve large-scale problems. Responsibilities often include developing algorithms, maintaining HPC clusters, and improving system performance.

What are the typical responsibilities of someone working in high performance computing?

Professionals in High Performance Computing (HPC) are often responsible for designing, implementing, and maintaining powerful computing clusters tailored for processing large data sets or running complex simulations. Daily tasks may include optimizing code and workflows for parallel environments, troubleshooting hardware and software issues, and supporting researchers or engineers in using HPC resources efficiently. Collaboration is common, as HPC specialists work closely with IT staff, domain scientists, and software developers to ensure systems meet project and organizational goals. This role provides a challenging and dynamic work environment, offering opportunities to continually learn about emerging technologies and methodologies in computational science.

What are the key skills and qualifications needed to thrive in high performance computing, and why are they important?

To thrive in High Performance Computing, you need expertise in parallel computing, computer architecture, and programming languages such as C/C++ or Fortran, often backed by a relevant degree in computer science or engineering. Familiarity with HPC cluster management, job scheduling systems (e.g., SLURM), and experience with accelerators like GPUs or cloud platforms is crucial; certifications in Linux administration or HPC technologies are advantageous. Strong problem-solving skills, attention to detail, and effective communication abilities help professionals excel in complex, collaborative environments. These qualifications enable the efficient design, deployment, and maintenance of advanced computing infrastructure to support scientific and engineering applications.

Is high performance computing still relevant?

High Performance Computing (HPC) remains highly relevant as it enables complex data processing, scientific simulations, and large-scale analytics across industries such as research, finance, and technology. HPC specialists with skills in parallel programming, cluster management, and relevant tools like MPI or CUDA are in demand to support advancements in AI, climate modeling, and big data analysis.

What are examples of high performance computing?

High Performance Computing (HPC) involves using powerful supercomputers and parallel processing techniques to solve complex computational problems. Examples include climate modeling, molecular simulations, financial risk analysis, and large-scale data processing in scientific research. HPC jobs often require knowledge of programming languages like C++ or Fortran, and familiarity with cluster management and parallel computing frameworks such as MPI or OpenMP.

What are the most commonly searched types of High Performance Computing jobs in New Jersey?

The most popular types of High Performance Computing jobs in New Jersey are:

What are popular job titles related to High Performance Computing jobs in New Jersey?

For High Performance Computing jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching High Performance Computing jobs in New Jersey look for?

The top searched job categories for High Performance Computing jobs in New Jersey are:

What cities in New Jersey are hiring for High Performance Computing jobs?

Cities in New Jersey with the most High Performance Computing job openings:

High Performance Computing jobs near you
Infographic showing various High Performance Computing job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $101,044 per year, or $48.6 per hour.

Engineer, PIC Test

QUANTUM COMPUTING, INC.

Cranbury, NJ

$108K - $130K/yr

Full-time

Re-posted 29 days ago

Job description

Job Title: Engineer, PIC Test

Location: Cranbury, NJ

Division: Technology

Department: Engineering

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 Summary

We are seeking an experienced Photonic Integrated Circuit (PIC) Test Engineer to test, evaluate and analyze the photonic devices for market and internal quantum applications.

This role will collaborate closely with the PIC design and fabrication team to iterate and optimize out internal PDK, customized devices. The test work should be summarized to debug with design team and fabrication team.


Key Responsibilities

Testing & Characterization

  • Oversee optical and electrical characterization of fabricated PICs, analyzing performance against design targets.
  • Identify and implement design or process improvements based on test data.
  • Develop automated test procedures where applicable.
  • Skill in optical and electrical characterization techniques (Laser swept system, OSA, VNA/LCA, interferometry, etc.)

Collaboration

  • Collaborate with the fabrication team to estimate the fabrication robustness of the PDK and customized design.
  • Collaborate with the design team to analyze each fab run and iterate for next run.


Required Qualifications

  • Ph.D. or master’s degree in electrical engineering, Applied Physics, Photonics, or related field.
  • 3+ years of hands-on experience in PIC test on fiber optics and free space optics, and wafer level testing
  • 1+ years of experience with high-speed EOM Characterization with VNA/LCA.
  • Programming skills for data analysis and automation (Python, MATLAB).
  • Strong knowledge of waveguide theory, coupling mechanisms, electrical and photonic device physics.

Preferred Qualifications

  • Experience in quantum and nonlinear photonic systems or related applications.
  • Experience in packaged hybrid photonic/electronic chip test.
  • Experience in yield estimation and defect analysis.
  • Experience in lab equipment remote control and automated test.

Key Attributes

  • Strong communication skills and the ability to influence across teams.
  • Passion for innovation and pushing the limits of photonic technology.


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.