Embedded Engineers

3 days ago

Hyderabad, India Talentive Global Full time

Talentive Global is seeking an 6 - 12 yrs experienced Embedded Engineer with IoT expertise who will also act as a trainer and mentor for new resources. The role focuses on delivering hands-on training in real-time environments, guiding learners through practical POCs, and ensuring they are industry-ready from Day 1 to contribute on live projects.

Responsibilities

Training & Mentorship

- Deliver structured training programs on Embedded Systems, IoT protocols, Firmware Development, and Cloud Integration.
- Conduct daily hands-on sessions to build real-time project exposure for trainees.
- Mentor and upskill resources in C, C++, Python, and Embedded Linux for IoT applications.
- Provide guidance on hardware-software integration and debugging techniques.

Real-Time POCs & Use Cases

- Design and implement mini-projects/POCs such as IoT device integration, sensor data monitoring, and edge AI use cases.
- Ensure trainees participate in end-to-end workflows: from sensor data collection → edge processing → cloud dashboards.
- Validate trainees’ knowledge through real-time simulations and project-based assessments.

Technical Expertise Delivery

- Train resources on industrial protocols (OPC UA, MQTT, Modbus) and integration with IoT platforms.
- Introduce concepts of time-series data handling, cloud dashboards (Grafana/ThingsBoard), and ETL pipelines.
- Demonstrate firmware updates, security practices, and performance optimization in embedded systems.

Resource Readiness

- Ensure that by the end of the training program, each resource is capable of:
- Developing and deploying IoT solutions independently.
- Creating quick POCs aligned with client projects.
- Supporting live implementations from Day 1 on assigned projects.

Qualifications

Experience: 6 to 15 yrs

Strong expertise in Embedded C/C++, Python, Firmware Design, and RTOS.

Hands-on with IoT protocols: MQTT, OPC UA, Modbus, SPI, I2C, UART.

Experience with Embedded Linux, Edge AI (Jetson, Raspberry Pi, ESP32, etc.).

Knowledge of Cloud IoT dashboards (Azure, AWS, ThingsBoard, RoboLab, etc.).

Prior experience in training, mentoring, or leading teams is preferred.

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