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Permanent Wireless Sensor Network Jobs (NOW HIRING)

Slingshot Aerospace

Senior Network Engineer, IT

$130K - $180K/yr

Support the design, deployment, and hardening of networking for the Global Sensor Network (GSN ... Design and maintain secure office wired and wireless networks * Implement Infrastructure as Code ...

Specter

Software Engineer - Systems

San Francisco, CA · On-site

$203K - $241K/yr

To do so, we are creating a connected hardware-software ecosystem on top of multi-modal wireless ... Building low-latency command and control infrastructure across distributed sensor network ...

Disruptive Technologies

IoT Field Technician

O Fallon, MO · Hybrid

$65K/yr

... wireless sensor technology that enables smarter buildings and data-driven decision-making. Our ... Basic understanding of networking, wireless systems, or IoT devices preferred * Strong problem ...

Specter

Software Engineer - Systems

San Francisco, CA · On-site

$203K - $241K/yr

To do so, we are creating a connected hardware-software ecosystem on top of multi-modal wireless ... Building low-latency command and control infrastructure across distributed sensor network ...

A.C. Coy

Network Engineer (LAN/Wireless)

Raleigh, NC · On-site

Overview * Tier One Technologies is seeking a Network Engineer with LAN/Wireless experience to ... Must be a US Citizen or Permanent Status Green Card holder. * Must have lived in the US for the ...

A.C. Coy

Network Engineer (LAN/Wireless)

Raleigh, NC · On-site

Overview * Tier One Technologies is seeking a Network Engineer with LAN/Wireless experience to ... Must be a US Citizen or Permanent Status Green Card holder. * Must have lived in the US for the ...

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Permanent Wireless Sensor Network information

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How much do permanent wireless sensor network jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for permanent wireless sensor network in the United States is $52.57, according to ZipRecruiter salary data. Most workers in this role earn between $40.38 and $62.02 per hour, depending on experience, location, and employer.

What are some common challenges faced when working on permanent wireless sensor network projects, and how can they be addressed?

Professionals working on permanent wireless sensor network (WSN) projects often encounter challenges such as ensuring reliable connectivity in varying environments, maintaining long-term sensor performance, and managing power consumption for continuous operation. Addressing these issues typically involves careful network planning, choosing robust hardware suited for the deployment environment, and optimizing communication protocols to extend battery life. Collaborating closely with interdisciplinary teams—such as hardware engineers, data analysts, and IT specialists—can also help proactively identify and solve integration or maintenance challenges, ensuring the network remains both functional and scalable over time.

What is the difference between Permanent Wireless Sensor Network vs Wireless Sensor Network Technician?

AspectPermanent Wireless Sensor NetworkWireless Sensor Network Technician
CredentialsTypically requires a degree in engineering or computer science, with certifications in network or sensor systemsOften requires technical certifications or associate degrees in networking or electronics
Work EnvironmentDesign, deployment, and maintenance of long-term sensor networks in industrial, environmental, or infrastructure settingsInstallation, troubleshooting, and repair of sensor networks in field or lab environments
Industry UsageUsed by industries for continuous monitoring and data collection over extended periodsUsed for on-site sensor setup, diagnostics, and maintenance tasks

The main difference is that Permanent Wireless Sensor Network roles focus on designing and maintaining long-term sensor systems, while Wireless Sensor Network Technicians handle installation and troubleshooting tasks. Both roles require technical skills, but the scope and responsibilities differ based on project duration and complexity.

What is a Permanent Wireless Sensor Network?

A Permanent Wireless Sensor Network (WSN) is a system of spatially distributed sensors that continuously monitor and collect data about environmental or physical conditions, such as temperature, humidity, or movement, and transmit this data wirelessly to a central system for analysis. Unlike temporary or mobile sensor networks, permanent WSNs are designed to be installed for long-term, ongoing operation in a fixed location. These networks are widely used in applications like industrial monitoring, building automation, environmental tracking, and security. Maintenance and network reliability are key considerations, as the sensors need to operate autonomously and communicate efficiently over extended periods.

What are the key skills and qualifications needed to thrive as a Wireless Sensor Network Engineer, and why are they important?

To thrive as a Wireless Sensor Network Engineer, you need a solid understanding of networking fundamentals, embedded systems, and sensor technologies, typically supported by a degree in electrical engineering, computer science, or a related field. Familiarity with wireless communication protocols (such as Zigbee, LoRa, or Bluetooth), network simulation tools, and hands-on experience with sensor node programming are essential. Strong analytical thinking, problem-solving abilities, and effective teamwork are crucial soft skills for this role. These competencies enable the design, deployment, and maintenance of reliable sensor networks, which are vital for real-time data collection and decision-making in critical applications.
More about Permanent Wireless Sensor Network jobs
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Permanent Wireless Sensor Network jobs near you
Infographic showing various Permanent Wireless Sensor Network job openings in the United States as of June 2026, with employment types broken down into 60% Full Time, 28% Part Time, 1% Temporary, 10% Contract, and 1% Nights. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $109,336 per year, or $52.6 per hour.
Industrial IoT and Wireless Network Systems Researcher

Industrial IoT and Wireless Network Systems Researcher

Optimal Inc.

Embry Hills, GA

$102K - $140K/yr

Contractor

Posted 7 days ago

Job description

Senior Researcher/ Engineer - 5G/6G Industrial IoT and Wireless Network Systems

Role Summary
We are seeking a Senior Researcher / Senior Engineer to lead the architecture and development of next-generation wireless data infrastructure for Future Factory applications. This role will focus on moving high-fidelity data from wireless sensors through 5G and 6G networks into industrial IoT and edge-AI environments with millisecond-level latency, high reliability, and secure scalable integration.
The successful candidate will build the connectivity and data-transfer backbone that links advanced wireless sensors to edge computing, IoT platforms, and AI models for real-time manufacturing intelligence.

What You'll Do
Design end-to-end architecture for transferring data from wireless industrial sensors through 5G/6G networks to edge compute and IoT platforms
Define communication strategies for low-latency, high-reliability, secure transport of precision manufacturing data
Develop and evaluate private 5G and future 6G network concepts for manufacturing use cases including inline monitoring, machine condition tracking, process control, and AI-based quality prediction
Select and implement protocols, gateways, edge services, and data pipelines for integrating wireless sensor streams into industrial IoT systems
Build solutions for time-sensitive acquisition, buffering, synchronization, prioritization, and quality-of-service management of sensor data
Partner with sensor, controls, manufacturing, cybersecurity, and AI teams to ensure end-to-end performance from measurement to inference
Evaluate network latency, packet loss, jitter, bandwidth, device density, handoff behavior, and scalability under realistic factory conditions
Develop architectures for edge AI deployment so that data can be processed and acted on within milliseconds when needed
Support integration with cloud and plant systems using modern telemetry and industrial communication frameworks
Lead pilot deployments, technical validation, and roadmap development for 5G/6G-enabled smart manufacturing systems

Required Qualifications


Master's degree or PhD in Electrical Engineering, Computer Engineering, Computer Science, Telecommunications, Networking, Robotics, or a related field
5+ years of industrial or applied research experience in wireless communications, industrial IoT, edge systems, or networked cyber-physical systems
Strong expertise in wireless communication systems, especially 5G and emerging next-generation mobile network technologies
Experience designing end-to-end data pipelines from device or sensor layer to edge or cloud applications
Strong understanding of latency, reliability, synchronization, bandwidth management, and network performance tradeoffs for real-time systems
Experience with IoT data protocols and messaging frameworks such as MQTT, OPC UA, DDS, AMQP, gRPC, or similar technologies
Experience with edge computing architectures and deployment of analytics or AI near the point of data generation
Strong software and system-integration skills in Python, C++, embedded Linux, or related environments
Ability to work across hardware, software, manufacturing, and analytics teams to build deployable industrial systems

Preferred Qualifications


PhD or advanced specialization in wireless networking, industrial communications, or edge intelligence
Experience with private 5G deployment, network slicing, URLLC concepts, time-sensitive networking, or deterministic industrial communications
Familiarity with 6G research trends relevant to sensing, localization, ultra-low-latency networking, or integrated communication and sensing
Experience integrating plant-floor systems with IoT platforms, edge gateways, and AI services
Knowledge of industrial cybersecurity, zero-trust architectures, device authentication, and secure data transport
Experience with digital twins, streaming analytics, event-driven architectures, or MLOps for real-time manufacturing systems
Experience in automotive manufacturing, industrial automation, robotics, or smart factory deployments

Key Skills and Competencies


5G/6G wireless systems
Industrial IoT architecture
Edge computing and real-time data pipelines
Low-latency network design
Protocol and gateway integration
Network performance validation
Cyber-physical systems engineering
Cross-functional systems leadership


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