Job Responsibilities 1. Understand and Participate in Establishing Requirements Gain a deep understanding of system-level requirements impacting firmware deliverables. Actively participate in the creation of firmware requirements based on system specifications. Collaborate with the broader team to define and improve system-level requirements for hearing aid firmware. Align firmware design with requirements through continuous exploration of the firmware system, review of documentation, and consultations with senior team members. 2. Design and Implement High-Quality Firmware Create designs that meet firmware requirements. At this level, the engineer is expected to solve moderate technical challenges. Senior engineers review solutions for technical sound. Document and review designs, ensuring they provide value and enhance understanding of the firmware. Apply programming knowledge (e.g., C, assembly) to implement firmware on resource-constrained hardware. Follow best practices in firmware development processes such as code reviews, design documentation, and adherence to coding conventions. Update the status of assigned tasks using established issue and project tracking software. Use version control systems to manage code effectively. Investigate, root cause, and resolve firmware issues promptly, providing feedback on potential solutions and their impact to the firmware management team. 3. Verify Firmware Functionality Support the Firmware Verification Team in developing test plans and executing tests to ensure firmware meets high-quality standards at the system level. Review test plans and provide constructive feedback. Conduct unit tests to verify the functionality of developed firmware before passing it to the verification team. Collaborate with Firmware Verification Engineers and others in R&D to identify and resolve issues. 4. Participate Effectively in Project Activities Understand and follow established organizational processes such as Advanced Development and Product Development processes. Work with the Firmware Project Sponsor/Manager to create project plans and provide work estimates for project milestones. Take proactive ownership of project assignments and follow the project management process (Scrum) for assigned projects. Communicate changes to work effort estimates and their potential impact on the project schedule. Provide updates on project activities during sprint reviews, stand-up meetings, and one-on-one meetings. Job Requirements Education and Experience: Education: Bachelors or Masters degree in Electronics and Communication, Computer Science, Embedded Technology, or a related field. Experience: 4-8 years of relevant experience with a BS degree 0-4 years of relevant experience with an MS degree Knowledge and Technical Requirements In-depth knowledge in one or more of the following domains is required: Digital Signal Processing (DSP) Real-time Signal Processing: Knowledge of hardware or embedded systems for real-time signal processing, including the use of microcontrollers, DSP chips, and FPGA. Filtering: Designing and implementing digital filters (FIR, IIR) to remove noise, smooth, or enhance signals. Knowledge of filter design tools and techniques (e.g., Butterworth, Chebyshev filters). Convolution & Correlation: Understanding how to apply these operations to signals to filter or detect patterns. Fourier Analysis: Applying Fourier transforms (FFT, DFT) to analyze signals in the frequency domain, including spectral analysis and signal reconstruction. Time-Frequency Analysis: Familiarity with techniques like Short-Time Fourier Transform (STFT) or wavelet transforms for analyzing non-stationary signals. Adaptive Filtering: Understanding algorithms that adapt their characteristics based on the signal's input, such as LMS (Least Mean Squares) and RLS (Recursive Least Squares). Signal Compression & Coding: Knowledge of data compression techniques (e.g., JPEG, MP3) for efficient transmission and storage of signals. Embedded DSP Experience in implementing DSP algorithms on embedded systems, such as using ARM, TI processors or specialized DSP hardware. Real-Time Operating Systems (RTOS): Experience with real-time operating systems, such as FreeRTOS, VxWorks, or other embedded OS, for scheduling and task management. Hardware/Software Interface: Experience interfacing with hardware components (ADC, DAC, sensors, actuators, etc.). MATLAB/Simulink: Ability to model and simulate DSP algorithms using tools like MATLAB and Simulink. Embedded Development Tools: Familiarity with IDEs (e.g., Eclipse, Keil, IAR Embedded Workbench) and debugging tools (JTAG, oscilloscopes, logic analyzers). Machine Learning (ML) & AI Integration DSP and Machine Learning: Integrating machine learning with DSP to enhance signal processing tasks such as classification, pattern recognition, and feature extraction. Deep Learning for DSP: Familiarity with neural networks, CNNs (Convolutional Neural Networks), RNNs (Recurrent Neural Networks), GANs (Generative Adversarial Networks), and other deep learning architectures. Proficiency in using TensorFlow, PyTorch, and Keras Wireless and wired communication protocols. Firmware testing methodologies and tools Proficiency in programming languages such as C or assembly. Familiarity with scripting languages like MATLAB or Python. Understanding of analog and digital circuitry. Competencies, Skills, and Abilities Strong verbal and written communication skills. Driven, methodical, and detail oriented. Ability to work both independently and as part of a team. Proficiency in problem-solving.
