What IoT Engineers Actually Build
IoT engineers create systems that connect physical and digital worlds.
Device Development
Hardware and firmware:
- Sensor integration — Temperature, motion, GPS, environmental
- Microcontroller programming — ESP32, STM32, Nordic chips
- Power optimization — Battery life for field-deployed devices
- Connectivity — WiFi, Bluetooth, LoRa, cellular, Zigbee
- Edge processing — Local computation before cloud upload
IoT Platform
Cloud infrastructure:
- Device management — Provisioning, monitoring, updates
- Data ingestion — High-throughput sensor data pipelines
- Time-series storage — Efficient storage for sensor data
- OTA updates — Secure firmware updates at scale
- Device twins — Cloud representation of device state
Applications
End-user systems:
- Dashboards — Visualization of sensor data
- Alerting — Threshold-based notifications
- Analytics — Patterns and insights from device data
- Automation — Rules and actions based on sensor input
- Integration — Connecting to business systems
IoT Engineer Specializations
Embedded IoT Engineer
Hardware-focused:
- Firmware development (C/C++)
- Low-power optimization
- Sensor integration
- Closer to embedded engineering
- Hardware debugging skills
IoT Platform Engineer
Cloud-focused:
- Device management platforms
- Data pipelines and storage
- API development
- Closer to cloud/backend engineering
- Scalability and operations
IoT Solutions Engineer
Full-stack:
- End-to-end system design
- Device through application
- Customer-facing in some roles
- Broader but less deep
- Architecture focus
Skills by Experience Level
Junior IoT Engineer (0-2 years)
Capabilities:
- Program basic microcontrollers
- Implement sensor data collection
- Use standard connectivity protocols
- Work with IoT cloud platforms
- Debug device-cloud communication
Learning areas:
- Power optimization
- Security implementation
- Scalability patterns
- Over-the-air updates
Mid-Level IoT Engineer (2-4 years)
Capabilities:
- Design complete IoT systems
- Implement secure device authentication
- Optimize for power and bandwidth
- Build data pipelines for device data
- Handle fleet management
- Work across firmware and cloud
Growing toward:
- Architecture decisions
- Team leadership
- Security specialization
Senior IoT Engineer (4+ years)
Capabilities:
- Architect IoT platforms at scale
- Design security architecture
- Lead hardware/software integration
- Manage device fleets of thousands
- Make build vs. buy decisions
- Define IoT standards
Curiosity & fundamentals
Independence & ownership
Architecture & leadership
Strategy & org impact
Interview Focus Areas
Embedded Fundamentals
For hardware-leaning roles:
- "Explain how I2C and SPI protocols work"
- "How do you optimize power consumption for battery devices?"
- "Walk me through debugging a sensor communication issue"
- "How do you handle firmware updates safely?"
Connectivity and Protocols
Networking knowledge:
- "Compare MQTT, CoAP, and HTTP for IoT"
- "When would you use LoRa vs. cellular vs. WiFi?"
- "How do you handle intermittent connectivity?"
- "Explain pub/sub patterns for IoT"
Platform and Scale
Cloud architecture:
- "Design a system to manage 100,000 devices"
- "How do you handle time-series data at scale?"
- "Explain device provisioning and authentication"
- "How do you implement OTA updates safely?"
Security
Critical for IoT:
- "How do you secure device-to-cloud communication?"
- "Explain certificate-based device authentication"
- "What are the unique security challenges of IoT?"
- "How do you handle compromised devices?"
Common Hiring Mistakes
Not Clarifying the Spectrum
IoT spans embedded to cloud. A firmware-focused IoT role is very different from a platform-focused IoT role. Be specific about where your role sits and assess relevant skills.
Ignoring Security Depth
IoT security is critical—deployed devices are attack vectors. Don't hire IoT engineers without assessing security understanding. The consequences of poor IoT security can be severe.
Expecting Full-Stack Mastery
Few engineers are equally strong at embedded firmware AND cloud infrastructure. Decide what's primary and assess accordingly. Teams often need both specializations.
Under-Estimating Ops Challenges
Managing thousands of deployed devices is operationally complex. OTA updates, monitoring, and incident response matter. Look for experience with production device fleets, not just prototypes.
Where to Find IoT Engineers
High-Signal Sources
- Embedded communities — Hackaday, EEVblog, embedded Reddit
- Maker spaces — Engineers building connected projects
- IoT platforms — AWS IoT, Azure IoT certified engineers
- Industry conferences — Embedded World, IoT World Congress
- daily.dev — IoT and embedded topic followers
Background Transitions
| Background | Strengths | Gaps |
|---|---|---|
| Embedded Engineers | Firmware, hardware | Cloud, connectivity |
| Cloud Engineers | Platform, scale | Embedded, hardware |
| Network Engineers | Protocols, connectivity | Firmware, cloud |
| Full-Stack Engineers | End-to-end thinking | Embedded specifics |
Recruiter's Cheat Sheet
Resume Green Flags
- Production IoT deployments
- Device fleet management experience
- Multiple connectivity protocols
- Security implementation
- OTA update experience
- Power optimization work
Resume Yellow Flags
- Only prototype/hobby projects
- Single protocol experience
- No security focus
- Missing cloud or embedded side
- No production fleet experience
Technical Terms to Know
| Term | What It Means |
|---|---|
| MQTT | Lightweight IoT messaging protocol |
| LoRa | Long-range, low-power wireless |
| OTA | Over-the-air updates |
| Device twin | Cloud copy of device state |
| Edge computing | Processing on the device |
| ESP32 | Popular IoT microcontroller |
| Time-series DB | Storage optimized for sensor data |
| Provisioning | Setting up devices for deployment |
| Fleet management | Managing many devices |
| TLS/mTLS | Encrypted communication |