Embedded Expert

4 days ago


Lucknow, Uttar Pradesh, India beBeeEmbedded Full time ₹ 10,00,000 - ₹ 20,00,000

Job Title: Embedded Systems Lead – Smart Camera System

Location: Hyderabad

Job Type: Full-time | Contract (Initial 12 months)

Experience Required: 5–10 years

Industry: Defense Tech / Embedded Systems / Wireless Communication

About the Role:

You will lead the design, development, and integration of all embedded software and system-level features. You will drive the platform bring-up, camera system development, wireless communication integration, and low-power optimization in collaboration with a cross-functional hardware and software team.

Key Responsibilities:

  • Own the full embedded software stack for the smart camera system.
  • Lead the board bring-up and BSP development for custom hardware.
  • Develop and integrate Linux kernel drivers for camera, wireless, and sensors.
  • Integrate and debug Wi-Fi, Zigbee, LoRa wireless communication protocols.
  • Lead development of camera subsystem drivers (MIPI CSI-2, ISP tuning, V4L2).
  • Implement low-power operation, sleep modes, and battery monitoring features.
  • Coordinate with the hardware team for hardware-software co-design and power optimization.
  • Develop interfaces for Edge AI inference pipelines (TensorFlow Lite or similar).
  • Debug complex system issues using JTAG, logic analyzers, and embedded logging.
  • Document system architecture, APIs, and provide mentorship to junior team members.

Mandatory Skills:

  • Strong proficiency in Embedded C/C++, Embedded Linux (Yocto, Buildroot).
  • Experience with Linux kernel development and device driver programming.
  • Deep understanding of Wi-Fi driver stacks and wireless MAC layers.
  • Experience integrating and tuning camera modules and MIPI-CSI pipelines.
  • Knowledge of wireless protocols, especially Zigbee and/or LoRa.
  • Experience with battery-powered embedded systems and power management.
  • Experience with BSP development, bootloader customization, and OS bring-up.
  • Hands-on experience with Edge AI models on embedded targets (ARM-based or DSPs).
  • Familiarity with schematic review and basic hardware debugging tools (oscilloscope, multimeter).
  • Worked on at least one full-cycle embedded product (from prototype to field deployment).

Collaboration Teams:

  • RF and Wireless Engineers
  • Camera & ISP Engineers
  • Hardware & PCB Design Engineers
  • Android/Linux App Developers
  • System Test & Field Deployment Engineers


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