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Internship 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

$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 ...

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

As of Jun 17, 2026, the average hourly pay for internship wireless sensor network in the United States is $17.44, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

How to apply for an internship in a radio station?

To apply for an internship related to Wireless Sensor Networks at a radio station, research the station's career or internship opportunities online, prepare a resume highlighting relevant skills such as wireless communication and networking, and submit your application through their official channels or email. Networking within the industry and obtaining relevant certifications can also improve your chances.

What are the career opportunities in sensing technology?

Career opportunities in sensing technology include roles such as Wireless Sensor Network engineer, embedded systems developer, and IoT solutions architect. These positions involve designing, deploying, and maintaining sensor systems, often requiring skills in programming, network protocols, and hardware integration. Opportunities exist across industries like manufacturing, healthcare, environmental monitoring, and smart infrastructure.

What does a wireless system engineer do?

A wireless system engineer designs, develops, and maintains wireless communication systems, including sensor networks, ensuring reliable data transmission and network performance. They often work with hardware, software, and network protocols, using tools like network analyzers and simulation software, and may require certifications in networking or wireless technologies.

What is wireless sensing?

Wireless sensing involves using sensor devices that communicate data wirelessly to monitor environmental or physical conditions. In an internship related to wireless sensor networks, understanding how sensors collect data such as temperature, humidity, or motion and transmit it via wireless protocols like Zigbee or Bluetooth is essential for designing and maintaining sensor systems.
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Internship Wireless Sensor Network jobs near you
Infographic showing various Internship Wireless Sensor Network job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 96% Full Time, 1% Temporary, and 1% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $36,265 per year, or $17.4 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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