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Remote Lte Optimization Engineer Jobs in Ashburn, VA

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 ...

New

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 ...

New

CUDA Developer - Remote

Washington, DC ยท Remote

$60 - $100/hr

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 ...

New

GPU Programmer - Remote

Washington, DC ยท Remote

$60 - $85/hr

GPU Programmer - Remote Job Type: Contractor Location: Remote Job Overview We are seeking ... You will apply your expertise in GPU programming, performance optimization, and C++ development to ...

New

... Engineer with 6-8 years of experience to join our AI applications team. This is a fully remote ... Performance Optimization: Review and analyze software runtime performance, making algorithmic and ...

General information Job Posting Title Lead Security Engineer - Remote Date Wednesday, August 12 ... and optimization. - Lead or actively contribute to other information security projects and ...

Senior Customer Engineer, Federal

Washington, DC ยท On-site +1

$118K - $162K/yr

Location. This role is remote in the continental United States. What You'll Do (Key ... Starlink, LTE/5G). * Familiarity with cloud platforms, virtualization or containerization ...

SUMMARY The Senior Remote Tower Systems Engineer position will work as part of a team supporting ... Mission Optimization, Technology and Transportation) for the federal government and commercial ...

New

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Remote Lte Optimization Engineer information

See Ashburn, VA salary details

$36.3K

$98.3K

$171.8K

How much do remote lte optimization engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote lte optimization engineer in Ashburn, VA is $98,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,800.00 and $110,400.00 per year, depending on experience, location, and employer.

What does a Remote LTE Optimization Engineer do?

A Remote LTE Optimization Engineer is responsible for analyzing and improving the performance of LTE (Long-Term Evolution) wireless networks from a remote location. Their tasks include monitoring network KPIs, troubleshooting issues, optimizing network parameters, and recommending changes to enhance coverage, capacity, and quality of service. They work closely with field engineers and network operators to ensure optimal network performance, often using advanced software tools to analyze data and implement solutions remotely.

What are the key skills and qualifications needed to thrive as a Remote LTE Optimization Engineer, and why are they important?

To thrive as a Remote LTE Optimization Engineer, you need a solid background in wireless communications, radio frequency (RF) engineering, and a relevant engineering degree. Familiarity with network optimization tools like TEMS, Atoll, and drive test analysis software, as well as certifications such as CCNA or relevant vendor certifications, is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate remotely with cross-functional teams and address network performance issues. These skills ensure optimal network quality, efficient troubleshooting, and reliable mobile service delivery for end users.

What are the typical challenges faced by a Remote LTE Optimization Engineer and how can they be managed?

Remote LTE Optimization Engineers often encounter challenges such as limited on-site access to equipment, reliance on remote diagnostic tools, and potential delays in troubleshooting network issues. To manage these challenges, engineers use advanced remote monitoring systems, collaborate closely with local field technicians, and participate in regular virtual meetings with cross-functional teams. Effective communication, adaptability, and a proactive approach to problem-solving are essential for success in this role.

What are the most commonly searched types of Lte Optimization Engineer jobs in Ashburn, VA?

The most popular types of Lte Optimization Engineer jobs in Ashburn, VA are:

What are popular job titles related to Remote Lte Optimization Engineer jobs in Ashburn, VA?

For Remote Lte Optimization Engineer jobs in Ashburn, VA, the most frequently searched job titles are:

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The top searched job categories for Remote Lte Optimization Engineer jobs in Ashburn, VA are:

CUDA Software Engineer - Remote

YO AI Labs

Washington, DC โ€ข Remote

$60 - $100/hr

Full-time

Posted 3 days ago

New


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.