Sr. Firmware Engineer

Elecbits; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Elecbits is a leading electronics design and manufacturing partner enabling end-to-end product development. We are seeking an experienced embedded firmware engineer to design, develop and optimize firmware for resource-constrained hardware platforms, focusing on low-level drivers, wireless stacks and secure OTA updates.

You will own the firmware lifecycle from architecture to production release and collaborate with hardware, QA, and manufacturing teams.

Qualifications

• Embedded firmware development for resource-constrained devices.
• Proficiency in C/C++ and real-time operating systems.
• Experience with BLE and Wi-Fi wireless stacks in IoT devices.
• Hands-on with ARM Cortex-M MCUs (STM32, nRF52, ESP32, NXP, TI).
• Familiarity with Git workflows and unit testing.

Responsibilities

• Design and develop optimized bare-metal and RTOS-based firmware for embedded hardware platforms.
• Own the full firmware lifecycle from architecture through production release.
• Make architectural decisions around memory, power, and real-time performance trade-offs.
• Develop and maintain low-level drivers for SPI, I2C, UART, ADC, etc.
• Integrate and tune BLE and Wi‑Fi wireless stacks.
• Design secure OTA update mechanisms and enforce coding standards.
• Write and maintain unit tests for regression-free releases.
• Debug hardware-firmware integration issues using JTAG, scopes, and logic analyzers.
• Support manufacturing bring-up and field issue resolution.

Skills

Embedded firmware

C/C++

RTOS experience

Wireless stacks

IoT protocols MQTT/CoAP

ARM Cortex-M

Git workflows

Unit testing

Edge computing

CI/CD for embedded

Tools

FreeRTOS

Zephyr

ThreadX

BLE stack

Wi-Fi

JTAG

STM32

nRF52

ESP32

NXP

TI CC series

Job description

Elecbits is a tech-enabled, full-stack electronics design and manufacturing company that helps global enterprises go from an idea to a shelf-ready, commercial product — covering the end-to-end product development and manufacturing lifecycle via 25+ micro-services on our platform.

Trusted by global enterprises including Panasonic, Schneider Electric, Tesla, Maruti Suzuki, Bosch, V-guard, Ola Electric, Urban Company, Luminous, PhonePe, Escorts Kubota and Napino, we are the largest B2B electronics development and manufacturing platform of its kind, with 3000+ global manufacturers on our platform.

Key Responsibilities

• Design and develop optimized bare-metal and RTOS-based firmware for embedded hardware platforms.
• Own the full firmware lifecycle from architecture through production release.
• Make architectural decisions around memory, power, and real-time performance trade-offs.

Drivers & Peripheral Integration:

• Develop and maintain low-level drivers for on-chip and external peripherals (SPI, I2C, UART, ADC, etc.).
• Integrate and tune wireless stacks such as BLE and Wi-Fi.
• Optimize driver performance for latency, throughput, and power consumption.

OTA, Code Quality & Reviews:

• Design and implement secure OTA (over-the-air) update mechanisms.
• Conduct peer code reviews and uphold coding standards across the firmware codebase.
• Write and maintain unit tests to ensure regression-free releases.

Debugging & Manufacturing Support:

• Debug complex hardware-firmware integration issues using oscilloscopes, logic analyzers, and JTAG tools.
• Support manufacturing bring-up and assist production teams during early builds.
• Diagnose and resolve field issues in collaboration with hardware and QA teams.

Preferred Skills

• 5–10 years of professional embedded firmware development experience
• Familiarity with wireless stacks (BLE, Wi-Fi) and IoT application protocols (MQTT/CoAP)
• Strong proficiency in C and C++ for resource-constrained environments
• Hands-on experience with RTOS (FreeRTOS, Zephyr, ThreadX)
• Working knowledge of ARM Cortex-M MCUs (STM32, nRF52, ESP32, NXP, or TI CC series)
• Comfortable with Git-based version control workflows
• Unit testing experience preferred
• Experience with cloud IoT platforms (AWS IoT Core, Azure IoT Hub, GCP IoT)
• Exposure to edge computing — local inference, edge-to-cloud sync, fleet management
• Familiarity with CI/CD pipelines for embedded targets.