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High Performance Computing Hpc Jobs in New Jersey

Skills C++, Quantum Algorithms, High Performance Computing (HPC), Algorithm Design, Mathematical Optimization,, Multi-threading, Linux, CMake, Python, Performance Profiling, Hardware Abstraction ...

Skills C++, Quantum Algorithms, High Performance Computing (HPC), Algorithm Design, Mathematical Optimization,, Multi-threading, Linux, CMake, Python, Performance Profiling, Hardware Abstraction ...

Monitor industry trends across photonics, high-performance computing, and optimization technologies ... Exposure to optimization problems, HPC workflows, or computational modeling environments.

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High Performance Computing Hpc information

See New Jersey salary details

$33K

$69.3K

$113.7K

How much do high performance computing hpc jobs pay per year?

As of Sep 12, 2026, the average yearly pay for high performance computing hpc in New Jersey is $69,288.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,800.00 and $84,300.00 per year, depending on experience, location, and employer.

What is high performance computing (HPC)?

High Performance Computing (HPC) refers to the use of supercomputers and parallel processing techniques to solve complex computational problems quickly and efficiently. HPC systems combine the power of multiple processors to perform billions or even trillions of calculations per second, making them essential for scientific research, engineering simulations, data analytics, and other demanding tasks. These systems are used in fields such as weather forecasting, molecular modeling, financial modeling, and artificial intelligence. By leveraging HPC, organizations can tackle problems that are too large or complex for standard computers.

What are the key skills and qualifications needed to thrive as a high performance computing (HPC) specialist?

To thrive as a High Performance Computing (HPC) specialist, you need a solid background in computer science or engineering, strong programming skills (especially in languages like C, C++, or Python), and expertise in parallel computing and Linux systems. Familiarity with cluster management tools, job schedulers (e.g., SLURM or PBS), and experience with HPC libraries and accelerators such as MPI, OpenMP, and GPU programming are typically required. Excellent problem-solving abilities, teamwork, and effective communication skills help you collaborate with researchers and resolve complex technical challenges. These competencies are vital for optimizing computational workflows, maintaining robust systems, and enabling advanced scientific or industrial research.

What are some common challenges faced by professionals working in high performance computing (HPC) environments?

Professionals in HPC roles often encounter challenges such as optimizing code for parallel processing, managing complex and rapidly evolving hardware architectures, and troubleshooting large-scale distributed systems. Collaborating closely with researchers and domain experts is also essential to ensure that computational resources are used efficiently and effectively. Keeping up with advances in both hardware and software, as well as balancing multiple projects with tight deadlines, are typical aspects of the HPC work environment.

What is the difference between High Performance Computing Hpc vs Data Scientist?

AspectHigh Performance Computing (HPC)Data Scientist
Required credentialsDegree in Computer Science, Engineering, or related fields; often certifications in parallel computing or HPC systemsDegree in Data Science, Statistics, Computer Science, or related fields; certifications in data analysis or machine learning
Work environmentSupercomputing centers, research labs, large enterprises with high computational needsTech companies, finance, healthcare, research institutions, often in office or remote settings
Industry usageScientific research, simulations, modeling, large-scale data processingData analysis, predictive modeling, machine learning, business insights

While both roles involve working with large datasets and complex computations, HPC specialists focus on designing and maintaining high-performance computing systems for scientific and engineering tasks. Data scientists analyze data to extract insights and build models. The roles often overlap in data processing but differ in technical focus and environment.

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

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

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

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

Infographic showing various High Performance Computing Hpc job openings in New Jersey as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $69,288 per year, or $33.3 per hour.

Principal Software Engineer - High Performance Computing

Jersey City, NJ • On-site

TwinThread
Software Development • 1 - 10 employees

$140K - $188K/yr

Other

Medical, Retirement

Posted yesterday

New


Job description

As a Principal Software Engineer at JPMorganChase within the Core Foundational Platforms team, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market‑leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best‑in‑class outcomes across various technologies to support one or more of the firm’s portfolios. You will lead virtual and direct teams of developers, teaching them best practices in high‑performance computing (HPC) practices that intersect with AI/ML. Thus, you are collaborative—especially since you will work closely with cross‑functional teams comprised of data scientists, business analysts and other engineers. You will infuse the JPMorgan developer community with an appreciation of the impact that HPC can have by delivering software that consistently outperforms other platforms. You will deliver a variety of options to serve our various business needs—sometimes driven by low‑latency; other times driven by throughput or low power.

Job Responsibilities
  • Creates complex and scalable coding frameworks using appropriate software design frameworks
  • Develops secure and high‑quality production code, and reviews and debugs code written by others
  • Advises cross‑functional teams on technological matters within your domain of expertise
  • Serves as the function’s technical, go‑to subject matter expert
  • Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies
  • Creates durable, reusable software frameworks that are leveraged across teams and functions
  • Influences leaders and senior stakeholders across product, data science and technology teams
  • Champions the firm’s culture of diversity, opportunity, inclusion, and respect
  • Using telemetry, create measurable frameworks for deciding amongst hardware and software options
  • Publish and support re‑usable patterns to optimize training and inference of ML models on various architectures
  • Support developer community in learning lessons from high‑performance computing (HPC) domain
Required Qualifications, Capabilities, and Skills
  • Formal training or certification on software engineering concepts and 7+ years applied experience
  • Hands‑on practical experience delivering system design, application development, testing, and operational stability
  • Advanced knowledge of software application development and technical processes with considerable in‑depth knowledge in one or more technical disciplines (e.g. LLMs, High‑performance computing (HPC), etc.)
  • Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines
  • Ability to present and effectively communicate with Senior Leaders and Executives
  • Master’s Degree in Computer Science
  • 8+ years of experience in high‑performance computing software
  • 5+ years of experience with at least one type of accelerator
  • 3+ years of experience in deep learning, particularly large language models
  • Deep familiarity with HPC software (e.g., NCCL, MPI) and resource schedulers (e.g., Kubernetes, SLURM)
  • Strong programming skills in Python, scripting, C, C++ with experience in AI/ML frameworks like PyTorch and LangChain
Preferred Qualifications, Capabilities, and Skills
  • PhD preferred (Computer Science, Computer Engineering, Mathematics, or related discipline)
  • Practical cloud native experience
  • Experience in large organizations and regulated industries is a plus
  • Hands‑on experience with CUDA for GPU programming and performance optimization preferred
  • Excellent communication skills and the ability to work collaboratively in a dynamic team environment
  • Publish and support re‑usable patterns to optimize training and inference of ML models on various architectures
  • Experience in high‑performance computing within national labs or academic research environments, including large‑scale distributed systems and accelerator‑based workloads
Legal and Equal Opportunity Statement

This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorgan Chase’s review of criminal conviction history, including pretrial diversions or program entries.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

We offer a competitive total rewards package, including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. The package also includes comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching, and more.

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