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Senior Firmware Engineer

2 weeks ago

NorthEast Singapore X-PHY Full time

**Requirements**:
**Key Responsibilities**:

- Develop and maintain firmware for embedded systems, specifically targeting FPGA and ARM-based processors.
- Design and implement real-time embedded systems using C, C++, and Python.
- Write and optimize device drivers, board support packages (BSP), and low-level hardware interfaces.
- Collaborate with hardware engineers to define system architecture and debug hardware/firmware integration issues.
- Implement, simulate, and test FPGA-based firmware using tools like Verilog, VHDL, or SystemVerilog.
- Work on bootloaders, and system diagnostics.
- Perform unit testing and integration testing for firmware, ensuring system performance and reliability.
- Contribute to code reviews, technical documentation, and design reviews.
- Troubleshoot and resolve firmware issues, optimizing system performance.
- Integrate and deploy AI/ML models (e.g., neural networks) into embedded devices for tasks such as anomaly detection, or predictive analytics.

**Qualifications**:

- Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or a related field.
- 3+ years of experience in firmware or embedded software development.
- Strong proficiency in C, C++, and Python.
- Experience with FPGA design and implementation using Verilog, VHDL, or similar hardware description languages.
- Hands-on experience with ARM processors (Cortex-A, Cortex-R, or Cortex-M series) and associated toolchains.
- Familiarity with embedded Linux and/or RTOS environments.
- Experience with hardware debugging tools such as JTAG debuggers.
- Strong understanding of real-time embedded systems, including hardware/software interfaces, peripherals (PCIE, UART, SPI, I2C), and memory management.
- Excellent problem-solving and communication skills.

**Preferred Qualifications**:

- Experience with PCIe, DDR, or high-speed interfaces.
- Experience with scripting languages like Python for automating testing and development processes.
- Knowledge of networking protocols and interfacing.
- Familiarity with secure boot, encryption, and other security measures in embedded systems.
- Experience with AI/ML frameworks such as TensorFlow Lite, PyTorch, or Keras, and knowledge of how to optimize them for embedded systems.
- Hands-on experience with neural network architectures (CNNs, RNNs, DNNs) and deploying them on resource-constrained environments.

**Benefits**
- Performance Bonus: Our company recognizes and rewards high performance with competitive bonuses tied to your results.
- Restricted Stock Units (RSUs): We issue RSUs to contributors, offering you a stake in the company's success and aligning your interests with our long-term growth.
- Career Advancement Opportunities: We provide clear career progression pathways and support your development to help you reach your full potential.
- Collaborative Work Environment: Join a team that values innovation, collaboration, and continuous improvement.