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Remote Rf Optimization Engineer Jobs in Irving, TX

IAM Sr Engineer 100% Remote The IAM Senior Engineer is a seasoned professional (58 years) responsible for supporting, managing, and optimizing Identity and Access Management (IAM) operations. This ...

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 ...

Data Engineer - Remote

Dallas, TX · On-site +1

$105K - $126K/yr

Role: Data Engineer Location: Dallas, TX Duration: 12+ Months Contract * Bachelor's degree in ... and optimization * Experience with cloud platforms such as AWS (preferred), Azure, or GCP

Lead AEM Developer - Remote

Dallas, TX · On-site +1

$58.50 - $76.50/hr

Lead AEM Developer Location: Remote project Duration: 6-12 months Role Overview & Required Skills ... Experienced with performance optimization and scalability in AEM * Thorough understanding of AEM ...

Remote Opportunity Available (if all qualifications are met) * Opportunity for W2 Employment or ... You will work along our layout engineers and RF designers to build detailed transistor-level layout ...

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Remote Rf Optimization Engineer information

See Irving, TX salary details

$35.5K

$113K

$175.7K

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

As of Jun 24, 2026, the average yearly pay for remote rf optimization engineer in Irving, TX is $113,002.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,600.00 and $133,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Rf Optimization Engineer vs Remote Wireless Network Engineer?

AspectRemote Rf Optimization Engineer

The Remote Rf Optimization Engineer focuses on optimizing radio frequency performance for wireless networks, primarily working on signal quality, interference reduction, and network efficiency. The Remote Wireless Network Engineer also works on wireless systems but has a broader scope, including network design, deployment, and troubleshooting of entire wireless infrastructures. Both roles require knowledge of RF principles and certifications like CWNP, but the Optimization Engineer emphasizes fine-tuning existing networks, while the Network Engineer handles overall network setup and maintenance.

What is a Remote RF Optimization Engineer?

A Remote RF Optimization Engineer is a telecommunications professional who specializes in analyzing, optimizing, and improving the performance of wireless radio frequency (RF) networks from a remote location. Their main tasks include monitoring network KPIs, troubleshooting interference or coverage issues, and implementing solutions to enhance signal quality and capacity. Working remotely, they use specialized software tools to access, analyze, and optimize cellular networks such as LTE, 5G, or Wi-Fi, ensuring reliable communication services for users.

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

To thrive as a Remote RF Optimization Engineer, you need a solid background in wireless communication principles, network optimization, and a degree in electrical or telecommunications engineering. Familiarity with RF planning tools (such as Atoll, Actix, or TEMS), drive test equipment, and certifications like CCNA or relevant vendor-specific credentials are highly valued. Strong analytical thinking, problem-solving abilities, and effective remote communication skills set top performers apart in this role. These skills ensure optimal network performance, efficient troubleshooting, and seamless collaboration on distributed engineering teams.

What are some common challenges faced by Remote RF Optimization Engineers, and how can they be addressed?

Remote RF Optimization Engineers often encounter challenges such as limited on-site access, coordinating with field teams, and troubleshooting network issues without direct physical observation. These challenges can be addressed by leveraging advanced remote monitoring tools, maintaining clear communication channels with local technicians, and utilizing simulation software to analyze and resolve signal problems. Building strong relationships with cross-functional teams and staying updated on the latest industry best practices also help in effectively managing remote optimization tasks.
What are popular job titles related to Remote Rf Optimization Engineer jobs in Irving, TX? For Remote Rf Optimization Engineer jobs in Irving, TX, the most frequently searched job titles are:
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What cities near Irving, TX are hiring for Remote Rf Optimization Engineer jobs? Cities near Irving, TX with the most Remote Rf Optimization Engineer job openings:
Senior Software Product Engineer (Remote Opportunity)

Senior Software Product Engineer (Remote Opportunity)

VetsEZ

Dallas, TX • Remote

$121K - $159K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Job description

VetsEZ is seeking a highly skilled Senior Software Product Engineer for a 100% remote position on a large federal government project. This role will lead the design and development of complex systems that automate workflows, support data-driven decision-making, and enhance healthcare technology platforms.

The ideal candidate is a highly experienced engineer with expertise in scalable cloud-native architectures, AI-enabled applications, and modern software engineering practices. This position will collaborate closely with engineering teams, product stakeholders, and technical leadership to deliver secure, reliable, and scalable solutions in a federal healthcare environment.

The candidate must reside within the continental US.

Responsibilities

  • Design and develop event-driven, data-intensive backend services using Node.js, TypeScript, AWS, and cloud-native technologies to support AI workloads at scale.
  • Architect and implement microservices-based solutions with clearly defined service boundaries, REST APIs, and asynchronous messaging patterns.
  • Lead the development and deployment of AI-enabled systems that process structured and unstructured data to support intelligent decision-making.
  • Drive Test-Driven Development (TDD) practices and maintain automated testing strategies across unit, integration, and contract testing.
  • Design scalable cloud-native architectures and distributed systems that support mission-critical healthcare applications.
  • Collaborate with product owners, engineers, and stakeholders to translate business requirements into production-ready technical solutions.
  • Evaluate emerging AI technologies, frameworks, and tools to support innovation, modernization, and long-term scalability.
  • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

Required Qualifications:

  • Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical discipline.
  • 6+ years of professional software engineering experience, including experience designing and deploying AI-enabled systems in production environments.
  • Experience implementing CI/CD pipelines, containerized deployments, and DevOps best practices.
  • Experience designing and developing microservices, REST APIs, and distributed systems.
  • Demonstrated experience applying Test-Driven Development (TDD) methodologies and automated testing practices.
  • Strong experience with React, Node.js, and TypeScript.
  • Experience integrating Large Language Models (LLMs) and AI services such as OpenAI, Amazon Bedrock, Anthropic Claude, or similar platforms.
  • Experience with AWS services including Amazon Aurora (PostgreSQL), ECS, SQS, S3, and related cloud-native technologies.
  • Experience building event-driven and data-intensive applications.
  • Experience with container technologies such as Docker and Kubernetes.
  • Proficiency with AI-assisted development tools such as Cursor, GitHub Copilot, OpenAI Codex, or Claude Code.
  • Strong problem-solving and analytical skills.
  • Excellent verbal and written communication skills.
  • Ability to lead technical discussions and influence engineering decisions.
  • Demonstrated ability to mentor engineers and promote engineering best practices.
  • Strong collaboration skills with cross-functional teams and stakeholders.

Additional Qualifications

  • Experience developing AI solutions within healthcare, federal government, or other regulated environments.
  • Familiarity with healthcare interoperability standards such as FHIR and HL7.
  • Experience with AI orchestration frameworks, agent-based architectures, or intelligent automation platforms.
  • Experience with PostgreSQL and Amazon Aurora data modeling and performance optimization.
  • Experience building asynchronous, message-driven workflows using Amazon SQS or comparable technologies.
  • Experience supporting Department of Veterans Affairs (VA) projects.
  • Ability to obtain and maintain a U.S. government clearance.

Benefits

  • Medical, Dental, and Vision Insurance.
  • 401(k) with Employer Match.
  • Paid Time Off (PTO) and Federal Holidays.
  • Corporate Laptop.
  • Professional Development and Training Opportunities.
  • 100% Remote Opportunity.

Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.

VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.

Sorry, we are unable to offer sponsorship at this time.

Employment Type: FULL_TIME