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IT Digital IoT Intern
Inogen, Inc.United Statesfull_timeVerifiedPosted 21 Jul 2025
About the role
Job Summary
We are seeking hands-on interns who can work on projects related to the Internet of Things (IoT), often involving the development, implementation, and management of connected devices and systems. Assist in data ingestion & transformation from devices and build algorithms to analyze data.
What Will You Learn
- Good understanding of Cellular & IoT framework in Microsoft Azure ecosystem
- Medical device connectivity quality and regulations
- Data analysis to identify patterns and insights, and use visualization tools to present their findings
- Cross-functional collaboration across technology, product and quality teams to release connected devices with robust security and framework
Responsibilities
Specific tasks, duties, essential functions of the job
- Good understanding of IoT concepts, including protocols like MQTT, HTTPS, BLE using TLS 1.2+ and experience with cloud platforms such as Azure, AWS
- Collaborate with IT, Engineering, Quality, Product teams to build robust & secure IoT architecture
- Work closely with IT & Engineering teams on building data analysis and visualization for IoT data designed per device software or firmware
- Segregate device telemetry & data privacy (PII/PHI) and build access controls for data security
- Monitor health and performance of IoT systems and identify potential issues, bottlenecks, or security threats and build mechanisms to apply patches & upgrades to ensure security and functionality of devices
Qualifications
Experience and Education
- Enrolled in a bachelor’s or master’s degree in Information Systems, Computer Science, Business Analytics, or related field
- Knowledge of IoT concepts & architecture on cloud platforms such as Azure, AWS
- Familiarity with IoT protocols like MQTT, HTTP, and BLE and security best practices
- Familiarity with device engineering such as microcontrollers, sensors, and embedded software
- Understanding of languages like Python, Java, or others used in IoT development is often preferred
- Strong analytical, statistical and problem-solving skills to address complex data challenges
- Good understanding of mobile applications and BLE connected devices
- Eager to learn how AI and automation can improve business engagement workflows
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