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Remote Rf Optimization Engineer Jobs in Cleveland, OH

Further

Senior AI Engineer

Cleveland, OH · On-site +1

$101K - $139K/yr

Experience optimizing inference costs and latency for large-scale deployments. * Previous ... Apply today or check out all our opportunities! #LI-Remote #LI-Hybrid #LI-Onsite By submitting your ...

Kimmel & Associates

Senior Energy Engineer

Cleveland, OH · On-site +1

$140K - $150K/yr

Remote employees must report to the company's Middleburg Heights headquarters at least once per ... plant optimization. Requirements Required Qualifications * Bachelor's degree in Engineering or a ...

FMHC

AlloBaas - Data Engineer II

Lakewood, OH · On-site +1

$103K - $123K/yr

... tuning, cost optimization, and capacity planning. * Manage operations of the Data Warehouse ... If fully remote: must be willing to travel * This position will require the ability to work ...

FMHC

AlloBaas - Data Engineer II

Lakewood, OH · On-site +1

$103K - $123K/yr

... tuning, cost optimization, and capacity planning. * Manage operations of the Data Warehouse ... If fully remote: must be willing to travel * This position will require the ability to work ...

ALLOBAAS

Data Engineer II

Lakewood, OH · On-site +1

... tuning, cost optimization, and capacity planning. * Manage operations of the Data Warehouse ... If fully remote: must be willing to travel * This position will require the ability to work ...

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All JobsRf Optimization Engineer JobsRemote Rf Optimization Engineer JobsRemote Rf Optimization Engineer Jobs in Cleveland, OH

Remote Rf Optimization Engineer information

See Cleveland, OH salary details

$35.9K

$114.1K

$177.5K

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

As of Jul 8, 2026, the average yearly pay for remote rf optimization engineer in Cleveland, OH is $114,130.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $134,800.00 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.
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Remote Rf Optimization Engineer jobs near you
Technical Sales Manager (Remote) - Digital Engineering & Manufacturing Solutions

Technical Sales Manager (Remote) - Digital Engineering & Manufacturing Solutions

Main Sail LLC

Chesterland, OH • Remote

$120K - $150K/yr

Full-time

Posted 23 days ago

Job description

We are seeking an experienced and driven Remote - Technical Sales Manager to support solution development and partner engagement in our Digital Engineering and Manufacturing capability area. This role centers on technical expertise, customer problem-solving, and collaboration with partners and internal teams. Your primary mission is to enable successful solution-driven sales through solution ideation, technical proposal writing, preparing demonstrations, and client engagement through all phases of the sales cycle.
This role requires broad technical fluency across enterprise software ecosystems and operational technologies, with particular emphasis on Product Lifecycle Management (PLM), Maintenance, Repair & Operations (MRO), and Manufacturing optimization platforms. The ideal candidate will possess skills and experience with a variety of applications, including their interactions with other systems, data integration and analytics capabilities.

Key Responsibilities:
Solution Development & Technical Leadership:
  • Develop and articulate technical solution architectures that integrate full-stack software components with leading PLM, MRO, and manufacturing optimization platforms.
  • Translate customer mission and operational requirements into practical, implementable digital engineering and manufacturing workflows.
  • Deliver product demonstrations, technical deep-dives, and capability briefings to support customer understanding.
  • Collaborate with engineering, delivery, and proposal teams to scope, validate, and estimate implementation efforts.
  • Stay informed on industry trends, platform updates, and emerging technologies to ensure solutions remain competitive.

Partner Enablement & Ecosystem Engagement:
  • Build and maintain strong relationships with technology vendors, integrators, and solution partners.
  • Coordinate with partner teams to deliver joint demos, co-develop solution concepts, and ensure architectural alignment.
  • Participate in partner forums, industry events, and technical workshops to represent the organization.

Customer Engagement & Advisory Support:
  • Serve as a trusted advisor by understanding technical challenges and recommending effective PLM, MRO, and full-stack software solutions.
  • Conduct routine customer check-ins to ensure solution success and support long-term technical planning.
  • Assist in developing technical narratives and value propositions for proposals.

Qualifications:
  • Bachelor’s degree in Engineering, Computer Science, Business, or a related discipline.
  • 3–7 years of experience in technical sales support, solutions engineering, or enterprise software technical roles.
  • Experience with PLM, MRO, or manufacturing optimization systems, including digital threads, digital twins, and engineering data management, supply chain coordination, operational analytics, and/or process optimization.
  • Full-stack development experience - cloud-native apps, distributed application architectures, user experience & interaction layer, and/or DevSecOps.
  • Experience with data integration, such as API-driven integrations, orchestration, middleware, microservices, master data alignment, cloud and hybrid connectivity.
  • Experience with analytics/AI, such as intelligent process automation, autonomous workflows, predictive analytics, context-aware agents, AI governance, data quality, security & compliance.
  • Experience supporting or working with federal agencies (DoD, NASA, Client, or civilian).
  • Strong communication, presentation, and relationship-building skills.
  • Ability to collaborate across engineering, delivery, capture, and leadership teams.
  • Ability to obtain and maintain a security clearance if required.

What We Offer:
  • Direct engagement with digital engineering, PLM, MRO, and manufacturing optimization technologies.
  • Opportunities to help shape a growing portfolio of enterprise solution offerings.
  • A collaborative environment focused on innovation, mission impact, and continuous learning.
  • Exposure to federal and commercial clients pursuing modernization and transformation initiatives.
  • Competitive compensation with performance-based incentives.