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Remote Lte Optimization Engineer Jobs in Manvel, TX

YO AI Labs

AI coding agents Expert - Remote

Houston, TX · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Design tasks involving bug fixing, feature development, refactoring, and performance optimization

Hexion, Inc.

Reliability Engineer-US Remote (East)

Houston, TX · On-site +1

$97K - $123K/yr

Whether you're engineering advanced materials, transforming manufacturing technologies, or leading ... Apply Reliability-Centered Maintenance (RCM) principles to determine the optimal maintenance ...

YO AI Labs

AI Trainer - Remote

Houston, TX · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Design tasks involving bug fixing, feature development, refactoring, and performance optimization

YO AI Labs

AI Technical Trainer - Remote

Houston, TX · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are ... Design tasks involving bug fixing, feature development, refactoring, and performance optimization

BridgePoint Works

Software Engineer

Houston, TX · Remote

$60 - $75/hr

Software Engineer (Remote USA) | $60-$75 per Hour Do You Want to Build Software That Shapes the ... You'll be designing and optimizing software that improves infrastructure projects across the ...

3B Staffing LLC

AWS DevOps Engineer

Houston, TX · Remote

$50.25 - $69/hr

You will also be responsible for the health of our PostgreSQL databases to ensure optimum ... This is a fully remote position As a scaleup business, you can expect your role to develop ...

3B Staffing LLC

AWS DevOps Engineer

Houston, TX · Remote

$50.25 - $69/hr

You will also be responsible for the health of our PostgreSQL databases to ensure optimum ... This is a fully remote position As a scaleup business, you can expect your role to develop ...

Ocean Spray

Environmental Engineer

Houston, TX · On-site +1

We are open to remote candidates. In this role, the Environmental Engineer is responsible for ... This role plays a critical part in maintaining regulatory compliance, optimizing environmental ...

Qcells

Electrical Engineer - Level 4

Houston, TX · On-site +1

Remote SENIOR ELECTRICAL ENGINEER - LEVEL 4 Hanwha Qcells USA Corp (Qcells USA), headquartered in ... ESSENTIAL JOB FUNCTIONS AND RESPONSIBILITIES Electrical System Design & Optimization * Develop and ...

Aggreko

Development Engineer

Pearland, TX · Remote

From world-class events that last a few weeks to mining operations and remote communities who rely ... AutoCAD, Helioscope, PV Syst, PV Case, Anderson Optimizer. * Determines feasibility of designing ...

Onco360

Telecommunications Engineer II

Houston, TX · On-site +1

$78K/yr

Lead the design, configuration, and optimization of voice infrastructure, including PBX, VoIP, SIP ... Engineer office and remote work telecom solutions that support a "work from anywhere" model through ...

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All JobsLte Optimization Engineer JobsRemote Lte Optimization Engineer JobsRemote Lte Optimization Engineer Jobs in Manvel, TX

Remote Lte Optimization Engineer information

See Manvel, TX salary details

$33.4K

$90.4K

$158.1K

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

As of Sep 5, 2026, the average yearly pay for remote lte optimization engineer in Manvel, TX is $90,416.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,300.00 and $101,600.00 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 cities near Manvel, TX are hiring for Remote Lte Optimization Engineer jobs?

Cities near Manvel, TX with the most Remote Lte Optimization Engineer job openings:

Remote Lte Optimization Engineer jobs near you

AI coding agents Expert - Remote

YO AI Labs

Houston, TX • Remote

$80 - $120/hr

Full-time

Posted 9 days ago

Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.