Build and validate MCU-based applications end to end: firmware development, board bring-up, and performance tuning.
Your Role
Key responsibilities in your new role
- Build and validate MCU-based applications end to end: firmware development, board bring-up, and performance tuning.
- Optimize systems for power consumption, latency, and throughput.
- Produce high-quality technical content (application notes, reference material) and deliver trainings.
- Collaborate across teams and with customers to solve complex system issues and deliver production-ready solutions.
Your Profile
Qualifications And Skills To Help You Succeed
Generic requirements (applies to all)
- BTech/MTech in Electronics, Computer Science or similar field.
- Strong C programming and embedded systems fundamentals, including software build process and hands-on board bring-up.
- Good understanding of microcontroller architectures and common peripherals.
- Mandatory basic hardware knowledge in analog and digital design.
- Ability to root-cause complex, multi-level engineering problems.
- Strong written and verbal communication; teamwork mindset.
- Passion to learn new technologies and thrive in a fast-paced environment.
- Familiarity with linker scripts and multiple toolchains (GCC, IAR, Arm) is a plus.
- Experience in writing technical documents is a plus.
- Experience in multicore software development is a plus.
Specialization areas (deep expertise in one or more)
- Embedded Connectivity and IoT
- Minimum 8-12 years of experience with a strong background in IoT application development, embedded systems, and MCU-based design.
- Familiarity with real-time operating systems (RTOS) such as FreeRTOS, Zephyr and middleware for wireless applications such as lwIP, ThreadX, and MbedTLS.
- Wireless stacks and protocols: Bluetooth Classic and BLE; exposure to Matter and Thread; Bluetooth Audio and LE Audio are pluses.
- Cloud connectivity know-how (AWS, Azure) and application protocols (MQTT, HTTP) as a plus.
- OTA firmware update mechanisms and secure, robust field update workflows.
- Deep understanding of digital/analog peripherals and inter-chip interfaces: I2C, UART, SPI, I2S, SDIO, QSPI.
3. Capacitive and Inductive Sensing
- Edge Machine Learning and Embedded AI
- Minimum 6-8 years of experience with a strong background in design of high-performance, low-power systems applications on ARM Cortex-M multicore platforms; partition workloads across CPU cores, NPUs, and accelerators.
- Implement robust task scheduling and IPC (shared memory, message queues, semaphores).
- Deploy on-device ML inference; balance power, latency, and accuracy; perform deep power profiling.
- Background in audio/vision signal processing.
- Interface with PDM mics, I2S, I2C, and camera interfaces (MIPI/parallel).
- Familiarity with system analysis tools such as Tracealyzer or SystemView.
- Minimum 6-8 years of experience in embedded application development with strong understanding of Analog and Digital design
- Experience with capacitive and or inductive touch sensing solutions is a plus.
- Familiarity with MCU peripherals such as ADC, PWM, DMA, Timers.
- Proven ability to optimize for low power and high performance in sensing applications.
Contact:
[Confidential Information]
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