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Remote High Performance Computing Engineer Jobs in Radnor, PA

YO AI Labs

CUDA Developer - Remote

Philadelphia, PA · Remote

$60 - $100/hr

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

YO AI Labs

GPU Programmer - Remote

Philadelphia, PA · 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 ...

Holtec International

Senior Systems Engineer

Camden, NJ · On-site +1

$135K - $155K/yr

A core function of this role includes HPC Cluster Administration supporting a high-performance computing environment used for scientific, engineering, and analytics workloads. In this role, you will ...

The Chemours Company

Senior AI Engineer

Wilmington, DE · On-site +1

$101K - $139K/yr

In key sectors such as clean energy, advanced electronics, high-performance computing and AI ... This is a remote role and will report directly to the Head of Data Science & AI. The role ...

Varsity Tutors

C++ Tutor

Chester, PA · 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 ...

Mondo

Sr. Backend Engineer

Media, PA · Remote

$90 - $105/hr

Hybrid - Onsite 4 Days/Week, Remote Fridays - Philadelphia, PA Start Date: ASAP Duration: Until end ... high-performance RESTful APIs and distributed services Develop and maintain event-driven ...

Mondo

SIEM Engineer

Wilmington, DE · Remote

$75 - $80/hr

SIEM Engineer, REMOTE Start date is ASAP for this 3 to 6 month contract position. Job Title: SIEM ... high performance, optimal retention, and cost efficiency. Architect and implement scalable log ...

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Remote High Performance Computing Engineer information

See Radnor, PA salary details

$9

$54

$88

How much do remote high performance computing engineer jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for remote high performance computing engineer in Radnor, PA is $54.24, according to ZipRecruiter salary data. Most workers in this role earn between $44.47 and $61.39 per hour, depending on experience, location, and employer.

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

AspectRemote High Performance Computing EngineerRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related field; experience with HPC systemsBachelor's or Master's in Data Science, Statistics, or related field; proficiency in programming and analytics
Work EnvironmentDesigning, optimizing, and maintaining HPC systems remotely for scientific or engineering tasksAnalyzing large datasets, building models, and generating insights remotely for various industries
Employer & Industry UsageTech companies, research institutions, engineering firms using HPC clustersTech, finance, healthcare, and research organizations leveraging data analytics

While both roles often require strong programming skills and familiarity with cloud or remote systems, the HPC Engineer focuses on maintaining and optimizing high-performance computing infrastructure, whereas the Data Scientist emphasizes data analysis and modeling. Their work environments overlap in remote settings, but their core responsibilities differ significantly.

Remote High Performance Computing Engineer jobs near you

CUDA Software Engineer - Remote

YO AI Labs

Philadelphia, PA • Remote

$60 - $100/hr

Full-time

Posted 10 days ago

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.