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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 ...

Belcan

Embedded Software Engineer - ADV

Indianapolis, IN · On-site

$61.97/hr

Mesh networking * Low-power wireless sensor networks * RF coexistence * OTA firmware updates over wireless Especially valuable: * Experience with Silicon Labs wireless SDKs * Experience modifying MAC ...

GDIT

WV · On-site

Wireless Design, Wireless Local Area Network (WLAN), Wireless Networks Certifications: CompTIA ... Validate survey data (active, passive, and sensor-based) for accuracy, completeness, and adherence ...

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How much do wireless sensor network jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for 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 by professionals working with Wireless Sensor Networks?

Professionals in Wireless Sensor Networks often encounter challenges such as ensuring reliable data transmission in dynamic environments, maximizing network lifespan while managing limited battery resources, and maintaining security against potential cyber threats. They also frequently need to troubleshoot connectivity issues and optimize network topology for coverage and efficiency, often under real-world constraints like harsh weather or remote deployment sites. Collaboration with IoT specialists, data analysts, and field engineers is common to resolve these challenges. Successfully navigating these complexities is critical for delivering robust and scalable wireless sensor network solutions.

What are the key skills and qualifications needed to thrive in the Wireless Sensor Network position, and why are they important?

To excel in a Wireless Sensor Network Engineer role, you should have a strong background in computer science, electrical engineering, or telecommunications, with expertise in networking protocols, embedded systems, and sensor technologies. Familiarity with simulation tools like NS-3, network analyzers, wireless communication standards (such as Zigbee, LoRa, or Bluetooth), and relevant certifications like CCNA Wireless are advantageous. Strong analytical thinking, problem-solving skills, and the ability to collaborate across multidisciplinary teams are valuable soft skills. These competencies enable efficient design, deployment, and maintenance of reliable sensor networks supporting data-driven decision-making in various real-world applications.

What is a Wireless Sensor Network job?

A Wireless Sensor Network (WSN) job involves designing, developing, and maintaining sensor-based communication systems that collect and transmit data wirelessly. Professionals in this field work with embedded systems, networking protocols, and signal processing to ensure efficient and secure data transmission. Roles may include research, deployment of sensor nodes, optimization of network performance, and troubleshooting issues. Common applications include environmental monitoring, healthcare, industrial automation, and smart cities. Strong skills in programming, wireless communication, and data analytics are often required.

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Wireless Sensor Network jobs near you
Industrial IoT and Wireless Network Systems Researcher

Industrial IoT and Wireless Network Systems Researcher

Optimal Inc.

Embry Hills, GA • On-site

$102K - $140K/yr

Contractor

Posted 14 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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