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5G Remote Jobs in Edison, NJ (NOW HIRING)

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5G Remote information

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$17

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$73

How much do 5g remote jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for 5g remote in Edison, NJ is $30.32, according to ZipRecruiter salary data. Most workers in this role earn between $22.64 and $30.10 per hour, depending on experience, location, and employer.

What is a 5G remote?

5G Remote jobs are positions that involve working with 5G wireless technology, typically from a remote location rather than a traditional office. These roles can include network engineers, software developers, systems integrators, and technical support specialists who design, implement, or maintain 5G networks and applications. Working remotely in 5G often requires strong technical skills, familiarity with telecommunications protocols, and the ability to collaborate with distributed teams. The demand for 5G Remote professionals is growing as organizations expand their next-generation wireless infrastructure.

What are the key skills and qualifications needed to thrive as a 5G remote engineer?

To thrive as a 5G Remote Engineer, you need a strong background in telecommunications, wireless networking, and RF engineering, typically supported by a degree in electrical or computer engineering. Familiarity with network simulation tools, 5G NR protocols, and certifications like Cisco or Nokia 5G are highly valued. Excellent problem-solving, communication, and the ability to work independently are standout soft skills in this field. These skills ensure the effective deployment, monitoring, and optimization of 5G networks, which are critical for seamless connectivity and innovation.

How does a 5G remote engineer typically collaborate with cross-functional teams, and what tools are commonly used?

A 5G Remote engineer frequently works alongside network architects, software developers, and field technicians to design, optimize, and troubleshoot 5G networks. Collaboration is often conducted through virtual meetings, shared documentation platforms, and real-time network monitoring tools. Commonly used tools include network management software, version control systems, and communication platforms like Slack or Microsoft Teams. Effective teamwork and clear communication are crucial, as remote coordination ensures seamless deployment and maintenance of network solutions.

What is the difference between 5G Remote vs 5G Network Technician?

Aspect5G Remote5G Network Technician
CredentialsWireless certifications, network knowledgeNetworking certifications, technical skills
Work EnvironmentRemote, office or home-basedFieldwork, on-site installations and repairs
Industry UsageTelecommunications, tech companiesTelecom providers, network infrastructure
Job FocusRemote support, network managementHardware setup, troubleshooting on-site

While both roles involve working with 5G networks, 5G Remote positions focus on remote management and support, whereas 5G Network Technicians perform on-site installation and maintenance. Understanding these differences helps job seekers find roles aligned with their skills and preferences.

What are popular job titles related to 5G Remote jobs in Edison, NJ?

For 5G Remote jobs in Edison, NJ, the most frequently searched job titles are:

What job categories do people searching 5G Remote jobs in Edison, NJ look for?

The top searched job categories for 5G Remote jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for 5G Remote jobs?

Cities near Edison, NJ with the most 5G Remote job openings:

5G Remote jobs near you

Junior Wireless DSP/PHY Algorithm Engineer/Remote

Jersey City, NJ • Remote

Apetan Consulting llc
IT Services • 1 - 10 employees
Learn more about Apetan Consulting llcexternal

$80 - $120/hr

Contractor

Re-posted 8 days ago

Job description

Job Description- Junior Wireless DSP/PHY Algorithm EngineerLocation-RemoteJob Summary

We are seeking a Junior Wireless DSP/PHY Algorithm Engineer to support the design, development, simulation, and optimization of wireless communication algorithms at the Physical Layer (PHY). The ideal candidate will have a strong foundation in Digital Signal Processing (DSP), wireless communication systems, and mathematical modeling, with a passion for developing next-generation wireless technologies.

Key Responsibilities
  • Assist in the development and evaluation of PHY layer algorithms for wireless communication systems.
  • Design, implement, and test DSP algorithms for signal processing applications.
  • Support simulation and performance analysis of wireless communication systems.
  • Develop models and prototypes using MATLAB, Python, C/C++, or similar tools.
  • Analyze system performance under various channel conditions and interference scenarios.
  • Participate in link-level and system-level simulations.
  • Support algorithm optimization for performance, complexity, and power efficiency.
  • Collaborate with software, hardware, and systems engineering teams.
  • Document algorithm designs, simulation results, and technical findings.
  • Assist in debugging and validating wireless communication solutions.
Required Skills & Qualifications
  • Bachelor's or Master's degree in Electrical Engineering, Electronics Engineering, Telecommunications, Computer Engineering, or a related field.
  • Strong understanding of Digital Signal Processing (DSP) fundamentals.
  • Knowledge of wireless communication concepts, including:
    • Modulation and demodulation techniques
    • Channel coding and error correction
    • OFDM/OFDMA
    • MIMO systems
    • Synchronization and channel estimation
  • Familiarity with wireless standards such as:
    • 4G LTE
    • 5G NR
    • Wi-Fi (IEEE 802.11)
  • Programming skills in MATLAB, Python, C, or C++.
  • Understanding of probability, statistics, and linear algebra.
  • Strong analytical and problem-solving abilities.
Preferred Qualifications
  • Academic or project experience in wireless communications or signal processing.
  • Experience with simulation tools and communication system modeling.
  • Familiarity with PHY layer design and performance evaluation.
  • Knowledge of SDR (Software Defined Radio) platforms such as USRP or similar tools.
  • Understanding of embedded systems concepts.