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Remote Lte Optimization Engineer Jobs in Germantown, MD

YO AI Labs

CUDA Software Engineer - Remote

Washington, DC · 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 ...

YO AI Labs

CUDA Engineering Expert - Remote

Washington, DC · 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 ...

YO AI Labs

CUDA Developer - Remote

Washington, DC · 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 ...

YO AI Labs

GPU Programmer - Remote

Washington, DC · 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 ...

ProSidian Consulting

Production Engineer

Washington, DC · On-site +1

No Overtime Pay Basis Remote (within USA - W/ On-Site Meetings Expected) in The CONUS - Located In ... Production optimization, field operations, artificial lift, throughput, and production performance ...

Knexus

AI Software Engineer (Remote)

Vienna, VA · Remote

... 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 ...

Maximus

Lead Security Engineer - Remote

VA · On-site +1

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 ...

Armada

Senior Customer Engineer, Federal

Washington, DC · 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 ...

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Remote Lte Optimization Engineer information

See Germantown, MD salary details

$35.9K

$97.1K

$169.8K

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

As of Aug 27, 2026, the average yearly pay for remote lte optimization engineer in Germantown, MD is $97,118.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,800.00 and $109,100.00 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 popular job titles related to Remote Lte Optimization Engineer jobs in Germantown, MD?

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

What job categories do people searching Remote Lte Optimization Engineer jobs in Germantown, MD look for?

The top searched job categories for Remote Lte Optimization Engineer jobs in Germantown, MD are:

Remote Lte Optimization Engineer jobs near you
Infographic showing various Remote Lte Optimization Engineer job openings in Germantown, MD as of August 2026, with employment types broken down into 82% Full Time, 15% Part Time, and 3% Contract. Highlights an 78% Physical, 5% Hybrid, and 17% Remote job distribution, with an average salary of $97,118 per year, or $46.7 per hour.

CUDA Software Engineer - Remote

YO AI Labs

Washington, DC • Remote

$60 - $100/hr

Full-time

Posted 7 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.