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Remote Scientific Computing Jobs in Ridgefield Park, NJ

Experience with high-performance computing or GPU-accelerated applications. * Experience optimizing workloads across different GPU architectures. * Background in graphics, compute shaders, or AI/ML ...

Sr. Data Analyst - Remote

Manhattan, NY ยท On-site +1

$94K - $119K/yr

This role is part of a small team of Data Scientists/Analysts building up the Data platform to ... Python programming with knowledge of distributed computing (Hadoop, Apache Project). * Power BI ...

Technical Product Marketing Manager

New York, NY ยท On-site +1

$182K - $211K/yr

... computing concepts or the quantum software ecosystem * Background in physics, computer science, or ... Flexible, remote-friendly environment. * Shape quantum adoption in the US Federal landscape.

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Senior Software Engineer

New York, NY ยท Remote

$75 - $85/hr

Remote Role Duration : 12+ Months Contract Role Responsibilities * We are seeking a professional to ... These applications leverage cloud computing, big data, mobile, data science, data warehousing, and ...

New

... Cloud computing services such as Lambda, CloudFormation, API Gateway, S3, SQS, DynamoDB, etc ... Professional Skill Requirements University degree in Software Engineering, Computer Science, or any ...

C++ Software Engineer

New York, NY ยท On-site +1

$175K - $300K/yr

Required Skills * BS/BA degree in Computer Science, Engineering, or another technical related field ... Prefer experience with low-latency computing and hardware-level design * Experience with Git, SVN ...

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Remote Scientific Computing information

See Ridgefield Park, NJ salary details

$14

$33

$56

How much do remote scientific computing jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for remote scientific computing in Ridgefield Park, NJ is $33.78, according to ZipRecruiter salary data. Most workers in this role earn between $20.62 and $43.08 per hour, depending on experience, location, and employer.

What is the difference between Remote Scientific Computing vs Remote Data Analysis?

AspectRemote Scientific ComputingRemote Data Analysis
Required CredentialsTypically requires degrees in science, engineering, or computer science; knowledge of programming and simulation toolsOften requires degrees in statistics, data science, or related fields; proficiency in data manipulation and visualization
Work EnvironmentResearch labs, academic institutions, or corporate R&D; often involves high-performance computingBusiness, finance, healthcare sectors; primarily involves analyzing datasets and generating reports
Employer & Industry UsageResearch institutions, tech companies, scientific organizationsFinancial firms, healthcare providers, marketing agencies

Remote Scientific Computing focuses on developing and running simulations, models, and scientific computations, often requiring specialized software and high-performance hardware. Remote Data Analysis centers on interpreting datasets, creating visualizations, and deriving insights, typically using statistical tools. While both roles involve data and programming, their core tasks and industries differ significantly.

Is remote scientific computing in demand?

Remote scientific computing is in high demand due to the increasing reliance on data analysis, modeling, and simulation across industries such as healthcare, energy, and technology. Professionals with skills in programming, data management, and familiarity with tools like Python, R, or MATLAB are sought after, especially in organizations supporting distributed teams and cloud-based environments.

What cities near Ridgefield Park, NJ are hiring for Remote Scientific Computing jobs?

Cities near Ridgefield Park, NJ with the most Remote Scientific Computing job openings:

CUDA Developer - Remote

New York, NY โ€ข Remote

Full-time

Re-posted yesterday


Job description

CUDA Engineering Expert

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced CUDA Engineering Experts to support a cutting-edge GPU optimization project. You will apply your expertise in CUDA, C++, and GPU programming to analyze, optimize, and improve high-performance GPU kernels.

No prior AI experience is required.

Key Responsibilities
  • Analyze, profile, and optimize GPU kernels using CUDA and profiling tools.

  • Identify performance bottlenecks and develop targeted optimization strategies.

  • Refactor C++ and CUDA code for efficiency and maintainability.

  • Develop shader logic using GLSL and WebGPU.

  • Document optimization processes, findings, and performance improvements.

  • Contribute to GPU architecture and performance discussions.

  • Collaborate with remote, cross-functional teams.

Required Qualifications
  • Strong expertise in CUDA programming and GPU kernel optimization.

  • Advanced C++ development skills.

  • Hands-on experience with GLSL and WebGPU.

  • Experience using GPU profiling tools such as NVIDIA Nsight or similar.

  • Strong understanding of GPU performance and architecture.

  • Excellent analytical, problem-solving, and technical communication skills.

  • Ability to work effectively in a remote environment.

Preferred Qualifications
  • Experience with high-performance computing or GPU-accelerated applications.

  • Experience optimizing workloads across different GPU architectures.

  • Background in graphics, compute shaders, or AI/ML acceleration.