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Remote High Performance Computing Engineer Jobs in Annapolis Junction, MD

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

Posted today

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

Posted today

CUDA Developer - Remote

Washington, DC ยท 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 ...

Posted today

GPU Programmer - Remote

Washington, DC 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

Hybrid Columbia MD 3 times a week OR Remote (as applicable to role) Work Authorization Requirements ... Our teams work on meaningful, high-impact projects that support government and enterprise ...

AI and ML Engineer

Annapolis, MD ยท On-site +1

$99K - $225K/yr

Experience with high performance computing * Experience with major cloud platforms such as AWS, and ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Solution Architect

Bethesda, MD ยท On-site +1

$67.50 - $88.75/hr

... high-performance computing, FAIR data practices, data sharing architectures, cloud-native ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

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Remote High Performance Computing Engineer information

See Annapolis Junction, MD salary details

$12

$66

$107

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

As of Aug 21, 2026, the average hourly pay for remote high performance computing engineer in Annapolis Junction, MD is $66.04, according to ZipRecruiter salary data. Most workers in this role earn between $54.13 and $74.76 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.

CUDA Software Engineer - Remote

YO AI Labs

Washington, DC โ€ข Remote

$60 - $100/hr

Full-time

Posted 23 hours ago

Posted today


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.