RF Signal Processing Specialist
2 weeks ago
Responsibilities:
- Develop and optimize DSP algorithms for tasks such as filtering, modulation, and frequency domain analysis.
- Support research and implementation of ML models for signal classification and anomaly detection.
- Help implement AI solutions using frameworks like PyTorch, TensorFlow, or Keras.
- Participate in managing ML pipelines for model development and tracking.
- Aid in optimizing algorithms for GPU-accelerated computing using CUDA.
Requirements:
- Pursuing a degree in Electrical Engineering, Computer Science, or a related field.
- Basic proficiency in Python and C++, with familiarity using libraries like NumPy and SciPy.
- Understanding of deep learning frameworks such as PyTorch or TensorFlow is a plus.
- Introductory knowledge of DSP techniques and their applications.
Benefits:
- Competitive compensation: $70,000 - $90,000 per year.
- A collaborative environment where your contributions will help shape the future of DSP and ML.
- A culture of continuous learning where research and exploration are encouraged.
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