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Work From Home High Performance Computing Hpc Jobs in Philadelphia, PA

GPU Programmer - Remote

Philadelphia, PA ยท 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

WORK FROM HOME

Philadelphia, PA ยท On-site +1

$300 - $500/wk

We are looking for individuals interested in working from home, remotely, as life insurance sales representatives. We are hiring coachable individuals comfortable with a 100% commission based income ...

New

Increased earning potential in later years through performance and renewals * Residual income ... High-quality leads provided with no cold calling friends or family * Flexible scheduling within a ...

Increased earning potential in later years through performance and renewals * Residual income ... High-quality leads provided with no cold calling friends or family * Flexible scheduling within a ...

Increased earning potential in later years through performance and renewals * Residual income ... High-quality leads provided with no cold calling friends or family * Flexible scheduling within a ...

Increased earning potential in later years through performance and renewals * Residual income ... High-quality leads provided with no cold calling friends or family * Flexible scheduling within a ...

Increased earning potential in later years through performance and renewals * Residual income ... High-quality leads provided with no cold calling friends or family * Flexible scheduling within a ...

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Work From Home High Performance Computing Hpc information

See Philadelphia, PA salary details

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How much do work from home high performance computing hpc jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for work from home high performance computing hpc in Philadelphia, PA is $22.01, according to ZipRecruiter salary data. Most workers in this role earn between $18.17 and $23.99 per hour, depending on experience, location, and employer.

What is a work from home high performance computing HPC job?

A Work From Home High Performance Computing (HPC) job involves managing, developing, or optimizing high-performance computing systems remotely. Professionals in these roles work on complex computational tasks, such as scientific simulations, machine learning, or large-scale data processing. Responsibilities may include configuring HPC clusters, troubleshooting performance issues, and developing parallel computing applications. These positions typically require strong knowledge of Linux, scripting, parallel computing frameworks, and cloud-based HPC solutions.

What are the typical daily responsibilities of a remote high performance computing HPC professional?

As a remote High Performance Computing (HPC) professional, your daily tasks typically include monitoring system performance, troubleshooting technical issues, deploying software updates, and optimizing computational workflows. You'll frequently interact with researchers or engineering teams to support their computational projects, resolve user issues, and ensure smooth job scheduling and resource allocation. Many roles also involve automating system tasks or configuring new nodes in the HPC cluster, often via secure remote access. Effective communication and teamwork are key, as you'll regularly collaborate with both technical and non-technical colleagues, sometimes across different time zones. This dynamic work environment provides opportunities to solve complex problems and contribute to cutting-edge research and innovation.

What are the key skills and qualifications needed to thrive in the work from home high performance computing HPC position?

To thrive as a Work From Home High Performance Computing (HPC) professional, you need a solid background in computer science, parallel computing, and experience with HPC architectures, often supported by a relevant degree. Familiarity with tools such as Linux, job schedulers (e.g., Slurm, PBS), parallel programming languages (MPI, OpenMP), and cloud-based HPC solutions is highly valuable, and certifications in cloud platforms or HPC administration can be advantageous. Strong problem-solving skills, self-motivation, and clear written and verbal communication are essential for success while working remotely. These capabilities ensure efficient system management, troubleshooting, and collaboration with distributed teams, all of which are critical for maintaining and optimizing high-performance computing environments remotely.

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Cities near Philadelphia, PA with the most Work From Home High Performance Computing Hpc job openings:

Infographic showing various Work From Home High Performance Computing Hpc job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $45,782 per year, or $22 per hour.

GPU Programming Software Engineer Expert - Remote

YO AI Labs

Philadelphia, PA โ€ข Remote

$60 - $85/hr

Full-time

Posted 2 days ago

New


Job description

GPU Programmer / Software Engineer

Job Type: Contractor
Location: Remote

Job Overview

We are seeking experienced GPU Programmers / Software Engineers to design and optimize GPU-based tasks for AI and LLM applications. You will apply your expertise in GPU programming, performance optimization, and C++ development to build high-performance solutions.

Key Responsibilities
  • Design, implement, and optimize GPU software using CUDA, WebGPU, or GLSL.

  • Profile and optimize GPU kernels and shaders for performance and efficiency.

  • Develop host-side logic and GPU integrations using C++.

  • Create GPU-focused tasks and solutions for AI/LLM applications.

  • Analyze performance bottlenecks and implement optimization strategies.

Required Qualifications
  • Strong experience with GPU programming, particularly on NVIDIA GPUs.

  • Proficiency in CUDA, WebGPU, or GLSL.

  • Strong C++ programming skills.

  • Background in graphics programming, ML acceleration, scientific computing, HPC, or related GPU-focused fields.

  • Strong understanding of GPU architecture and performan