Back to jobsEducation: Bachelor’s degree or higher in ECE (Audio Track), Electrical Engineering, Computer Science, or a related field.
Theoretical Foundation: Solid grasp of Digital Signal Processing (DSP) fundamentals (filtering, transforms, codecs). Basic understanding of Machine Learning/Deep Learning (CNN, RNN, Transformer) and familiarity with PyTorch or TensorFlow.
Mobile Awareness: Preliminary understanding of how mobile chipsets (NPU/DSP) handle AI workloads.
Technical Toolkit:
Core Competencies: Strong curiosity and a research-oriented mindset; ability to independently read academic papers and translate them into actionable test cases.
Communication: Excellent English skills (reading, writing, and oral) for seamless collaboration with global R&D teams.
Job Description
- Proficiency in Python for processing large-scale datasets and general scripting.
- Familiarity with MATLAB or similar tools for signal modeling and analysis.