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Remote High Performance Computing Jobs in Secaucus, NJ

Lightning AI

Infrastructure Engineer (Storage)

New York, NY · On-site +1

$117K - $154K/yr

This role can work hybrid out of one of our US-based hubs (Seattle, NYC, or SF) or fully remote ... Help define best practices for operating storage systems in high-performance computing environments ...

CoreWeave

Sr. Manager, White Space Design

New York, NY · On-site +1

... such as remote CDUs and containment systems), power distribution strategies, and low-voltage ... Experience supporting hyperscale, High-Performance Computing (HPC), or high-density compute ...

Varsity Tutors

C++ Tutor

Paramus, NJ · Remote

$18 - $40/hr

Emphasizes understanding memory management principles and connects C++ programming to operating systems, embedded systems, and high-performance computing applications. * Curriculum Awareness ...

Varsity Tutors

C++ Tutor

Hempstead, NY · Remote

$18 - $40/hr

Emphasizes understanding memory management principles and connects C++ programming to operating systems, embedded systems, and high-performance computing applications. * Curriculum Awareness ...

Varsity Tutors

C++ Tutor

Summit, NJ · Remote

$18 - $40/hr

Emphasizes understanding memory management principles and connects C++ programming to operating systems, embedded systems, and high-performance computing applications. * Curriculum Awareness ...

Varsity Tutors

C++ Tutor

Westfield, NJ · Remote

$18 - $40/hr

Emphasizes understanding memory management principles and connects C++ programming to operating systems, embedded systems, and high-performance computing applications. * Curriculum Awareness ...

Varsity Tutors

C++ Tutor

New Rochelle, NY · Remote

$18 - $40/hr

Emphasizes understanding memory management principles and connects C++ programming to operating systems, embedded systems, and high-performance computing applications. * Curriculum Awareness ...

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Remote High Performance Computing information

See Secaucus, NJ salary details

$33K

$69.4K

$113.9K

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

As of Jul 11, 2026, the average yearly pay for remote high performance computing in Secaucus, NJ is $69,387.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,800.00 and $84,400.00 per year, depending on experience, location, and employer.

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

AspectRemote High Performance ComputingRemote Data Scientist
Required CredentialsAdvanced degrees in Computer Science, Engineering, or related fields; experience with HPC systemsDegree in Data Science, Statistics, Computer Science, or related fields; proficiency in programming languages
Work EnvironmentAccess to supercomputers, clusters, or cloud HPC resources; collaborative teamsData analysis environments, cloud platforms, and programming tools; often collaborative
Industry UsageResearch institutions, scientific computing, engineering simulationsTech companies, finance, healthcare, research

Remote High Performance Computing specialists focus on managing and utilizing supercomputing resources for complex simulations and data processing. Remote Data Scientists analyze large datasets to extract insights. While both roles require programming skills and advanced degrees, HPC roles emphasize system management and computational efficiency, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a Remote High Performance Computing (HPC) Specialist, and why are they important?

To thrive as a Remote High Performance Computing (HPC) Specialist, you need expertise in parallel computing, cluster management, and strong programming skills in languages such as Python, C/C++, or Fortran, often backed by a degree in computer science or a related field. Familiarity with HPC job schedulers (like SLURM or PBS), cloud platforms, and Linux-based systems, as well as relevant certifications, is highly valuable. Strong problem-solving abilities, effective communication, and the capacity to work independently are crucial soft skills in remote environments. These competencies ensure efficient deployment, management, and troubleshooting of complex HPC resources while supporting diverse user needs from a distance.

What is Remote High Performance Computing?

Remote High Performance Computing (HPC) refers to the use of powerful computing resources and clusters that are accessed over the internet or a network, rather than being located locally. This setup allows researchers, engineers, and organizations to perform complex computations, simulations, and data analysis from anywhere, without the need for on-site supercomputers. Remote HPC enables scalability, flexibility, and cost-effectiveness by allowing users to leverage shared resources, often provided by cloud service providers or specialized data centers.

How does a Remote High Performance Computing (HPC) professional typically collaborate with research teams and IT staff?

Remote HPC professionals often work closely with research scientists, data analysts, and IT administrators to ensure computational resources are efficiently allocated and optimized for large-scale projects. Collaboration usually happens through virtual meetings, ticketing systems, and shared documentation platforms, requiring strong communication and problem-solving skills. Daily tasks may involve troubleshooting user issues, managing job scheduling, and maintaining cluster performance, all while coordinating with geographically dispersed teams. This dynamic environment fosters continuous learning and exposure to cutting-edge scientific and technical applications.
What are popular job titles related to Remote High Performance Computing jobs in Secaucus, NJ? For Remote High Performance Computing jobs in Secaucus, NJ, the most frequently searched job titles are:
What job categories do people searching Remote High Performance Computing jobs in Secaucus, NJ look for? The top searched job categories for Remote High Performance Computing jobs in Secaucus, NJ are:
Remote High Performance Computing jobs near you

Machine Learning Research Engineer (MLRE) - GPUs

Achira

New York, NY • On-site, Remote

$164K - $259K/yr

Full-time

Re-posted 23 days ago

Job description

Why Achira
At Achira, we are building a team of world-class scientists, ML researchers, and engineers to work together to move beyond the beaten path in drug discovery. We are actively exploring the next frontier of model architectures for AI x Chemistry: developing world models for the physical microcosm. Our goal is to make biology at the molecular level something that can be learned, predicted, and designed.
At Achira, you'll operate at the frontier scale of massive compute, massive data, and massive ambition. You'll own impactful work end-to-end, from ideation to architecture to deployment on distributed infrastructure. We are a well-funded, talent-dense organization that values rigor, speed, execution, and an ownership mindset. We're looking for new members who share our sense of relentless urgency and are natural collaborators who value team success.
About the Role
We're looking for a rare individual who thrives at the intersection of cutting-edge deep learning architectures and high-performance computing. You will help shape the future of molecular machine learning by engineering high-efficiency implementations of advanced architectures for foundation simulation models, accelerating simulations to the limits of the hardware while maintaining fidelity to the underlying physics.
While we prefer candidates willing to relocate to San Francisco or New York City, we are willing to consider full-time remote candidates of exceptional talent who are willing to travel frequently to our two office sites. Travel is part of all roles at Achira, both to conferences and corporate on-site activities.
What You'll Do
  • Take existing PyTorch and JAX, profile and optimize it without compromising model accuracy, reproducibility, and robustness with respect to scientific objectives.
  • Develop with frameworks like CUDA, Triton, Warp, etc. to accelerate performance critical code sections.
  • Liaise with NVIDIA to represent our needs and implement their tooling in our environment.
  • Work day-to-day with scientists to identify areas of greatest impact, including travel to our SF and NY working groups to collaborate.

About You
  • Engineer with at least two years professional experience in GPU optimization.
  • Deep understanding of GPU programming fundamentals.
  • Solid track record of observable artifacts (e.g., GitHub) showing optimization work.
  • Experience collaborating on software projects across multi-person teams.

Nice to Have
Even if you hit none of these bonus features, we encourage you to apply!
  • Experience working with multi-cloud distributed compute systems.
  • Experience working with multi-site distributed company team.
  • Experience working with equivariant architectures that operate on 3-D point clouds.

Apply