Senior Firmware Engineer

Job Title : Embedded Systems Lead – Smart Camera System

Location: Hyderabad

Company: 7 Darter Info Services Pvt. Ltd.

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

Experience Required: 5–10 years

Industry: Defense Tech / Embedded Systems / Wireless Communication

About 7 Darter :

7 Darter Info Services Pvt. Ltd. is a deep-tech defense technology startup dedicated to building cutting-edge AI-powered, RF-based surveillance and communication systems for the most demanding environments from dense forests and remote borders to battlefield zones and critical infrastructure.

Founded with a mission to strengthen national security through technological innovation, our team is developing next-generation wireless camera systems, direction finders, AI-enabled radars, and mission-critical edge computing platforms. All our systems are designed to operate reliably in no-internet, GPS-denied, and adversarial environments.

We work closely with defense agencies, law enforcement, and wildlife protection forces, delivering robust, indigenous solutions tailored to real-world operational challenges.

Role Summary :

As the Embedded Systems Lead, 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