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High Performance Computing Hpc Jobs in Manhattan, NY

New York University

Post Doctoral Associate

New York, NY · On-site

$65K - $70K/yr

Submit computational tasks to NYU's High Performance Computing (HPC) resources * Collaborate in a team setting * Coordinate and participate in regular and adhoc meetings with partners and agency ...

YO AI Labs

GPU Programming Expert - Remote

New York, NY · Remote

$60 - $85/hr

... performance optimization, and C++ development to build high-performance solutions. Key ... Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU ...

YO AI Labs

GPU Programmer - Remote

New York, NY · Remote

$60 - $85/hr

... performance optimization, and C++ development to build high-performance solutions. Key ... Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU ...

YO AI Labs

GPU Programming Expert - Remote

New York, NY · Remote

$60 - $85/hr

... performance optimization, and C++ development to build high-performance solutions. Key ... Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU ...

YO AI Labs

GPU Programming Expert - Remote

New York, NY · Remote

$60 - $85/hr

... performance optimization, and C++ development to build high-performance solutions. Key ... Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU ...

New York University

Research Scholar

New York, NY · On-site

$48K - $62K/yr

Use NYU's high performance computing (HPC) to train large models (4B parameters). * ML Model Inference: Deploy trained models for real robot experiments. * Robot Simulation: Train and deploy models ...

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High Performance Computing Hpc information

See Manhattan, NY salary details

$35.9K

$75.3K

$123.6K

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

As of Sep 3, 2026, the average yearly pay for high performance computing hpc in Manhattan, NY is $75,321.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,300.00 and $91,600.00 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 Manhattan, NY?

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

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The top searched job categories for High Performance Computing Hpc jobs in Manhattan, NY are:

What cities near Manhattan, NY are hiring for High Performance Computing Hpc jobs?

Cities near Manhattan, NY with the most High Performance Computing Hpc job openings:

High Performance Computing Hpc jobs near you
Infographic showing various High Performance Computing Hpc job openings in Manhattan, NY 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 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $75,321 per year, or $36.2 per hour.

Principal Cloud Development Security and Operations Engineer

Scorpion Therapeutics

Tarrytown, NY • On-site

$150 - $190/hr

Other

Posted 4 days ago

Job description

Responsibilities:

  • Design and implement infrastructure-as-code, automation scripts, and CI/CD pipelines on AWS for data, High-Performance Computing (HPC), Artificial Intelligence (AI), and microservice platforms.

  • Embed security controls into system design/implementation (IAM policies, network segmentation, secrets management, compliance validation pipelines).

  • Build tools to automate operational processes across cloud and systems engineering platforms.

  • Support audit-related activities (provide evidence and remediate findings) for the cloud platform.

  • Develop and implement delivery and CI/CD methodologies using AWS services, GitHub Actions, and Actions Runner Controller self-hosted runners on Elastic Kubernetes Service; integrate SAST/DAST.

  • Recommend and deploy monitoring, metrics, and logging.

  • Implement highly available, scalable, self-healing systems.

  • Develop SOPs and configure cloud services to support compliance validation.

  • Provide technical support, training, and documentation to end users and research teams.


Qualifications/Requirements:

  • Bachelor’s degree in Computer Science or related field.

  • 8+ years of in-depth AWS experience and relevant security certifications.

  • Hands‑on experience with cloud infrastructure automation, CI/CD, infrastructure-as-code, and security controls.

  • Solid cloud security posture knowledge (IAM, network segmentation, secrets management, compliance validation, security‑by‑design).

  • Experience supporting data, HPC, AI, or microservice platforms (technical or user‑facing).

  • Knowledge of core AWS services (EC2, EBS, S3, ELB, RDS, EKS, IAM).

  • Linux administration experience; automation of security controls and compliance validation.

  • Monitoring tools experience (Splunk, Grafana, Prometheus).

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