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Remote Rf Optimization Engineer Jobs in Norcross, GA

Staff Platform Engineer (Fully Remote)

Atlanta, GA ยท On-site +1

$175K - $200K/yr

The Role We Need PadSplit is looking for a Staff Platform Engineer to provide technical leadership for our platform infrastructure and backend architecture as we continue to scale our marketplace.

Senior Database Reliability Engineer: Job Type: Full-time Location: Remote Job Summary: Join our team as a Senior Database Reliability Engineer, where you'll play a central role in architecting,

Senior AI Engineer (Remote)

Atlanta, GA ยท On-site +1

$99K - $136K/yr

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Senior AI Engineer is responsible for designing, building, scaling, and optimizing

Senior Data Engineer 2026 - US

Atlanta, GA ยท On-site +1

$101K - $138K/yr

Do you enjoy working with clients from different industries to investigate complex business problems and to design end-to-end analytical solutions that will improve their existing processes and

Senior Data Engineer 2026 - US

Atlanta, GA ยท On-site +1

$101K - $138K/yr

Do you enjoy working with clients from different industries to investigate complex business problems and to design end-to-end analytical solutions that will improve their existing processes and

Job Title: CAE Engineer Location: Remote Hire Type: Full-time Job Summary: * 5 to 10 years of experience in design of component/assembly for aero derivative engines ideally in the power generation or

Showing results 41-60

Remote Rf Optimization Engineer information

See Norcross, GA salary details

$34.7K

$110.4K

$171.6K

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

As of Sep 13, 2026, the average yearly pay for remote rf optimization engineer in Norcross, GA is $110,359.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,400.00 and $130,400.00 per year, depending on experience, location, and employer.

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 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 are popular job titles related to Remote Rf Optimization Engineer jobs in Norcross, GA?

For Remote Rf Optimization Engineer jobs in Norcross, GA, the most frequently searched job titles are:

What job categories do people searching Remote Rf Optimization Engineer jobs in Norcross, GA look for?

The top searched job categories for Remote Rf Optimization Engineer jobs in Norcross, GA are:

What cities near Norcross, GA are hiring for Remote Rf Optimization Engineer jobs?

Cities near Norcross, GA with the most Remote Rf Optimization Engineer job openings:

Infographic showing various Remote Rf Optimization Engineer job openings in Norcross, GA as of August 2026, with employment types broken down into 72% Full Time, 15% Part Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $110,359 per year, or $53.1 per hour.

Senior Software Engineer [REMOTE]

Atlanta, GA โ€ข Remote

$117K - $155K/yr

Full-time

Re-posted 15 days ago


Job description

Upbound is hiring a Senior Software Engineer to help us build and operate Upbound Spaces, the multiple control plane management software at the heart of the Upbound Platform. As part of the Spaces team, you will help us scale Upbound to reliably support thousands of control planes, while also extending enterprise control plane management and operations both in the cloud and on premises. Our team is expanding, and this is the perfect opportunity for you to make a significant engineering impact in both development and production operations.

What You'll Do
  • Actively build and operate Upbound Spaces in production, troubleshooting and resolving issues across multi-tenant SaaS environments, as well as contributing to Upbound's open-source projects, including Crossplane.
  • Take ownership of building features in high demand by Upbound's customers and deliver new functionality that will delight and amaze our users.
  • Investigate and debug complex issues in customer environments, including multi-control plane scenarios, resource reconciliation problems, and performance bottlenecks.
  • Communicate through thoughtful and thorough design documents for new initiatives and detailed post-incident reviews that drive system improvements.
  • Support the full project lifecycle for highly scalable and reliable services running in a cloud environment - discovery, analysis, architecture, design, review, documentation, building, migration, automation, deployment, production-readiness, and ongoing operational support.
  • Write and maintain Go code that interfaces with the Kubernetes API, such as operators, controllers, add-ons, etc., with a focus on observability, debuggability, and operational excellence.
  • Deploy, manage, and troubleshoot our Kubernetes services in production, using metrics, logs, and traces to identify and resolve issues quickly.
  • Build and maintain operational tooling for debugging customer environments, analyzing control plane health, and automating incident response.
  • Author documentation, user guides, runbooks, and blog posts to support and promote new features that you release.
  • Support the software release cycle for Spaces self-hosted distributions, including diagnosing issues in customer-managed deployments.
  • Participate in on-call rotation to support Upbound Cloud, responding to incidents and driving them to resolution.
What You'll Bring
  • Have experience operating production cloud services at scale: monitoring, alerting, incident response, post-mortems, and continuous improvement of service reliability.
  • Have strong debugging skills across distributed systems, including experience with observability tools (Prometheus, Grafana, OpenTelemetry, distributed tracing) and techniques for diagnosing issues in production environments.
  • Have experience building and operating controllers that interact with the Kubernetes API server, including troubleshooting reconciliation loops, managing API rate limits, and optimizing controller performance.
  • Are comfortable working directly with customers to understand, reproduce, and resolve complex technical issues in their environments.
  • Take responsibility and ownership for solving problems even if they are outside your lane, especially during incidents affecting customer workloads.
  • Demonstrate excellence in your work, constantly trying to improve your skills and the operational posture of the systems you build.
  • Have empathy for customers and keep them in mind as you build solutions, understanding that reliability and debuggability are features.
  • Realize the importance of clear communication and effective collaboration to work as a team, deliver great results, and support customers through technical challenges.
  • Help create a safe environment where everyone can contribute, learn from failures, share on-call knowledge, and help each other grow as operators and engineers.

ย #LI-REMOTE