2

Remote Verizon Rf Engineer Jobs (NOW HIRING)

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Provide knowledge in RF/microwave engineering for ground, air and sea-based operations * Possess ...

The Field Engineer plays a crucial role in implementing complex communication system infrastructure ... Perform onsite and remote troubleshooting of networks, servers, databases, and RF infrastructure ...

Senior RF Space Systems Engineer

Tempe, AZ · On-site +1

$176K - $264K/yr

... remote sensing, and much more. The S3 team is primarily composed of a small group of highly skilled ... Proficiency using RF and systems design engineering tools including MATLAB, ADS, HFSS, and Genesys

Senior RF Space Systems Engineer

Tempe, AZ · On-site +1

$176K - $264K/yr

... remote sensing, and much more. The S3 team is primarily composed of a small group of highly skilled ... Proficiency using RF and systems design engineering tools including MATLAB, ADS, HFSS, and Genesys

Are you interested in a remote work from home position with a reputable company? In this role, you ... Must be cleared by IT and install our required programming on your PC during our system setup ...

The Field Engineer is responsible for the Implementation of complex communication system ... and remote configuration of network, server, RF, and databases. Provides as-configured ...

$120K - $130K/yr

Remote (Preference for Chicago, IL or Denver, CO area) Travel: Up to 25% within Midwest & Mountain ... lifecyclefrom initial RF benchmarking and design to final carrier commissioning. Key ...

A Remote Electrical Hardware Design Engineer position is currently available through Belcan at one ... High-speed digital designs RF layouts Power supply / high-current layouts Rigid-flex designs Strong ...

Showing results 41-60

Remote Verizon Rf Engineer information

See salary details

$37K

$117.7K

$183K

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

As of Sep 13, 2026, the average yearly pay for remote verizon rf engineer in the United States is $117,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,500.00 and $139,000.00 per year, depending on experience, location, and employer.

What is a Remote Verizon RF engineer?

A Remote Verizon RF Engineer is a telecommunications professional who specializes in designing, optimizing, and maintaining Verizon's wireless radio frequency (RF) networks while working remotely. Their responsibilities include analyzing network performance, troubleshooting signal issues, planning new cell sites, and ensuring optimal coverage and capacity for Verizon customers. These engineers use specialized software tools to model RF propagation, assess interference, and implement solutions to improve network quality. As remote workers, they often collaborate virtually with onsite teams and use remote access tools to monitor and adjust network parameters.

What are the key skills and qualifications needed to thrive as a Remote Verizon RF engineer?

To thrive as a Remote Verizon RF Engineer, you generally need a degree in electrical engineering or a related field, along with strong knowledge of RF principles, cellular network design, and optimization. Experience with tools such as Atoll, TEMS, and Spectrum Analyzers, as well as certifications like CCNA or relevant OEM certifications, are highly valued. Excellent problem-solving abilities, communication skills, and self-motivation are important soft skills for collaborating remotely and addressing technical challenges. These competencies are crucial to ensure reliable network performance, efficient troubleshooting, and seamless team coordination in a remote work environment.

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

Remote Verizon RF Engineers often face challenges such as troubleshooting network issues without on-site access, coordinating with cross-functional teams across different time zones, and ensuring reliable communication for timely project updates. To address these challenges, engineers typically rely on robust remote monitoring tools, clear documentation, and regular virtual meetings to maintain team alignment. Building strong relationships with local field technicians and leveraging remote diagnostic software also greatly enhance problem-solving efficiency.

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

AspectRemote Verizon Rf EngineerRemote Wireless Network Engineer
CertificationsFCC, RF, or wireless certificationsCCNA, CWNA, or wireless certifications
Work EnvironmentTelecom, network infrastructure, field and officeNetwork design, troubleshooting, and deployment
Industry UsageTelecommunications, service providersTelecom, enterprise, and service providers

The Remote Verizon Rf Engineer and Remote Wireless Network Engineer roles share similar certifications and work environments, focusing on wireless communication systems. While the Verizon RF Engineer specializes in Verizon's network infrastructure, the Wireless Network Engineer has a broader scope across various providers and enterprise networks. Both roles require strong technical skills in wireless technology and often involve remote work, making them closely related but distinct in their specific focus areas.

More about Remote Verizon Rf Engineer jobs

What cities are hiring for Remote Verizon Rf Engineer jobs?

Cities with the most Remote Verizon Rf Engineer job openings:

What are the most commonly searched types of Verizon Rf Engineer jobs?

The most popular types of Verizon Rf Engineer jobs are:

What states have the most Remote Verizon Rf Engineer jobs?

States with the most job openings for Remote Verizon Rf Engineer jobs include:

What are popular job titles related to Remote Verizon Rf Engineer jobs?

For Remote Verizon Rf Engineer jobs, the most frequently searched job titles are:

Infographic showing various Remote Verizon Rf Engineer job openings in the United States as of September 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 100% Remote job distribution, with an average salary of $117,680 per year, or $56.6 per hour.

Senior Machine Learning Engineer, Radar & Remote Sensing

Chantilly, VA • On-site, Remote

NT Concepts
IT Services • 51 - 200 employees

$107K - $146K/yr

Full-time

Posted 22 days ago


Job description

Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in National Security. We're looking for the best and the brightest to join us in supporting this mission. If meaningful work, initiative, creativity, and continuous self-improvement are important to your career, join our growing team and discover What's Next for you. We tackle hard problems to meet our clients' needs.
We are looking for an applied engineer to own our radar and ML technical stack. This is a blended role at the intersection of radar/SAR simulation, machine learning, scientific software, and compute infrastructure.
The ideal candidate is not a pure data scientist or a pure signal processing engineer. They are a technical owner who can move across the stack: from radar simulations and data preprocessing to ML model development, local GPU/compute setup, and hand-offs of radar products to software and hardware teams.
Clearance: Active TS/SCI clearance. US Citizenship is required.
Location: Chantilly, VA (Monday-Thursday Onsite & Friday Remote)
Responsibilities:
  • Act as a technical liaison, fostering effective communication and collaboration between radar engineering, machine learning, software engineering, and operation teams.
  • Develop and maintain robust radar and SAR simulation pipelines, including synthetic data generation, scene/return modeling, and validation workflows.
  • Design, build and refine end-to-end ML models and pipelines for radar-related tasks, including preprocessing, training, evaluation, and deployment-ready packaging.
  • Utilize and analyze defense-focused datasets, including radar, 3D models, Electro-Optical/Infrared (EO/IR), and sensing-adjacent data.
  • Create radar products and technical deliverables for internal software teams and hardware partners, including APIs, data schemas, containers, documentation, and integration guidance.
  • Design, configure, and optimize local compute environments, including GPU/eGPU setups, remote compute, storage, networking, containerization, and benchmarking.
  • Support ML inference/training on constrained or embedded compute, with awareness of systems such as RFSoCs, FPGAs, and related hardware constraints.
  • Collaborate with RF/hardware partners to support internal RF code processing, radar outputs, and productization of deployable radar hardware
  • Help deploy and maintain web applications and internal tools on classified or restricted networks.
  • Contribute to technical writing, SBIR proposals, and system documentation.

Required Qualifications:
  • Deep experience in Synthetic Aperture Radar, non-imaging radar, remote sensing, or signal processing
  • Solid understanding of radar/SAR fundamentals, including:
    • I/Q and complex-valued data
    • Simulation techniques
    • Image formation algorithms and radar-to-image pipelines
    • Coherent vs. incoherent processing
  • Proven track record of experience with radar or remote sensing simulations
  • Strong proficiency with scientific Python libraries:
    • NumPy, PyTorch, SciPy, Matplotlib, Jupyter, and related scientific stacks
  • Demonstrated ability to build end- to-end ML pipelines encompassing:
    • Data preprocessing
    • Training
    • Evaluation
    • Versioning
    • Packaging
    • Hand-off to other engineers
  • Hands-on experience with GPU compute, such as:
    • PyTorch
    • CUDA
    • NVIDIA tooling
    • Remote GPU Servers
    • Local GPU compute
  • Ability to explain radar/ML concepts to non-radar engineers and produce clear technical deliverables
  • Adherence to robust software engineering principles and best practices (e.g. clean code, testing, version control).
  • Exceptional communication skills, with the ability to clearly articulate complex radar and ML concepts to both technical and non-technical audiences, and to produce high-quality technical documentation and deliverables.

Preferred Skills/Experience:
  • Experience with Xpatch simulations specifically
  • Experience with CAD and or artistic 3D modeling skills
  • Experience with EO/IR or multi-sensor fusion
  • Experience with adversarial imaging AI
  • Understanding of RFSoCs, FPGAs, HLS, quantization, or edge deployment constraints
  • Experience designing or optimizing local compute servers / GPU clusters / eGPU configurations
  • Experience working with RF hardware partners or hardware-in-the-loop systems
  • Experience with LLMs, LoRA fine-tuning, or local model deployment for niche tasks
  • Experience with container computing and orchestration

Physical Requirements:
  • Prolonged periods sitting at a desk and working on a computer
  • Must be able to lift up to 10-15 pounds at time

#JT
The pay range listed for this position reflects the wage or salary range NT Concepts expects to pay for this role at the time of posting. The compensation offered to a successful candidate within this range will be based on legitimate, job-related factors, including (but not limited to) the candidate's work location, education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements.
Virginia Pay Range
$131,376-$243,984 USD
About NT Concepts
Founded in 1998 and headquartered in the Washington DC Metro area, NT Concepts is a private, mid-tier company with clients spanning the Intelligence and Defense communities. We deliver end-to-end data and technology solutions that advance the modernization, transformation, and automation of the national security mission-solutions with real impact developed in a strong engineering culture that encourages technical growth, leadership, and creative "big idea" problem-solving.
Employees are the core of NT Concepts. We understand that world-changing concepts happen in collaborative environments. We are a company where talented teams work together using innovation and expertise to solve our clients' most critical challenges. Here, you'll gain competitive benefits, opportunities to bolster your skills and develop new abilities, and a company culture dedicated to support and service. In addition to our benefits program, we encourage our employees to take part in #NTC_GivesBack, which paves the way for positive social change.
If joining a stable company with strong professional growth opportunities resonates with you, and you seek vital, mission-driven projects (for some pretty cool clients) that use your specific talents, we'd love to have you move forward with us.