The Role
Designs and maintains embedded firmware for low-power wireless sensor devices. Responsibilities include BLE and Wi-Fi communication, sensor integration, real-time DSP and filtering, high-throughput data streaming, mesh protocols, NOR Flash data management, power optimization, and firmware debugging. The role uses Nordic nRF platforms and collaborates with hardware, mobile, and backend teams on system integration, RF performance, and sensor data pipelines.
Summary Generated by Built In
Embedded Firmware Engineer – Wireless & SensorsLocation:
Job Overview
Key Responsibilities
Required Skills & Qualifications
Preferred Qualifications
Soft Skills
Hyderabad
Experience:4–6 years
We are looking for a skilled Embedded Firmware Engineer with strong experience in Bluetooth Low Energy (BLE) and embedded systems, along with a solid foundation in Digital Signal Processing (DSP). The ideal candidate will work on high-performance, low-power wireless devices involving sensor data acquisition, real-time streaming, and advanced signal conditioning using filtering techniques.
- Design, develop, and maintain firmware for embedded systems with a focus on Bluetooth Low Energy (BLE) communication
- Work with Wi-Fi and other wireless technologies (optional but preferred)
- Interface and integrate sensors such as:
- Accelerometers
- Gyroscopes
- Other IMU / environmental sensors
- Implement Digital Signal Processing (DSP) techniques for real-time sensor data analysis
- Design and apply filtering techniques such as:
- Low-pass, high-pass, and band-pass filters
- Moving average and exponential smoothing filters
- Sensor fusion filters (e.g., complementary filters, basic Kalman filtering)
- Develop solutions for high-frequency data acquisition and streaming over BLE and/or Wi-Fi
- Implement and optimize mesh communication protocols
- Work extensively with Nordic Semiconductor (nRF) platforms, including:
- nRF5 SDK
- nRF Connect SDK (NCS)
- Design and optimize data storage systems using NOR Flash, ensuring efficient:
- Data logging
- Retrieval
- Wear leveling (if applicable)
- Optimize firmware for:
- Low power consumption
- Bluetooth range and reliability
- System performance and latency
- Debug, test, and validate firmware using standard tools (JTAG, RTT, logs, etc.)
- Collaborate with hardware, mobile, and backend teams for system integration
- Strong experience in Embedded C/C++ programming
- Hands-on experience with BLE stack development and debugging
- Solid understanding of Digital Signal Processing (DSP) concepts, including:
- Sampling theory and aliasing
- Noise reduction techniques
- Time-domain and basic frequency-domain analysis
- Experience implementing filters on embedded systems for real-time data conditioning
- Experience working with sensor data acquisition and processing (IMU preferred)
- Solid understanding of:
- Real-time systems
- Interrupts, timers, and low-power modes
- Experience with nRF52/nRF54 series or similar MCUs
- Familiarity with high-throughput data transfer over BLE
- Experience with flash memory management
- Understanding of wireless communication fundamentals
- Experience in production-grade firmware development
- Familiarity with mobile app interaction (BLE central side)
- Exposure to power profiling and optimization tools
- Experience with OTA (Over-the-Air) firmware updates
- Knowledge of RTOS (Zephyr preferred for NCS)
- Experience with sensor fusion algorithms (e.g., orientation estimation using IMU data)
- Experience implementing or working with BLE Mesh or other mesh protocols
- Experience with Wi-Fi-based embedded systems
- Experience in wearable devices / IoT products
- Familiarity with FFT or spectral analysis in embedded environments
- Strong analytical thinking, especially for signal interpretation and noise handling
- Strong problem-solving and debugging skills
- Ability to work independently and in cross-functional teams
- Good communication and documentation skills
- Work closely with hardware engineers to co-design power-efficient systems
- Align on RF performance tuning and BLE/Wi-Fi optimization
- Enable efficient sensor data pipelines and storage systems
- Jointly debug system-level issues across hardware and firmware
Skills Required
- 4-6 years of embedded firmware engineering experience
- Strong experience with Embedded C/C++ programming
- Hands-on experience with BLE stack development and debugging
- Understanding of DSP concepts, including sampling theory, aliasing, noise reduction, and time- and frequency-domain analysis
- Experience implementing real-time filters on embedded systems
- Experience with sensor data acquisition and processing, preferably IMU sensors
- Understanding of real-time systems, interrupts, timers, and low-power modes
- Experience with nRF52/nRF54 series or similar MCUs
- Familiarity with high-throughput data transfer over BLE
- Experience with flash memory management
- Understanding of wireless communication fundamentals
- Experience in production-grade firmware development
- Familiarity with mobile app interaction on the BLE central side
- Exposure to power profiling and optimization tools
- Experience with OTA firmware updates
- Knowledge of RTOS, preferably Zephyr for NCS
- Experience with sensor fusion algorithms
- Experience implementing or working with BLE Mesh or other mesh protocols
- Experience with Wi-Fi-based embedded systems
- Experience in wearable devices or IoT products
- Familiarity with FFT or spectral analysis in embedded environments
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Quin (Quintessential Design) develops connected safety technology for helmets and other protective equipment. Its sensor systems analyze motion to detect impacts and dangerous events, then can alert emergency contacts or professional monitoring services and share relevant location and incident data. Its products combine helmet-compatible sensors, emergency-response features, and performance analytics to help users improve safety and receive assistance more quickly.







