Onsite Senior Deep Learning Engineer – AI for Wireless Systems

Posted 2 days ago

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About the role

  • Design and prototype deep learning models for wireless signal processing tasks such as channel estimation, beam alignment, link adaptation, and scheduling
  • Work with simulation tools and real-world datasets to build models that generalize across diverse wireless scenarios
  • Implement, train, and validate neural networks (e.g., CNNs, Transformers, GNNs) using PyTorch or TensorFlow
  • Collaborate with researchers and system engineers to integrate models into full-stack RAN
  • Optimize model performance for real-time inference and hardware acceleration
  • Contribute to model evaluation, benchmarking, and deployment readiness on GPU platforms.

Requirements

  • MS or PhD in Electrical Engineering, Computer Engineering, or related field (or equivalent experience)
  • 12+ years of experience in wireless communications, signal processing, or AI/ML
  • Deep understanding of communication systems (e.g., MIMO, OFDM, fading channels) and DSP fundamentals
  • Strong experience in training and deploying deep learning models for time-series or signal-based tasks
  • Proficiency in Python and experience with DL frameworks like PyTorch or TensorFlow
  • Familiarity with tools such as MATLAB, GNU Radio, or NVIDIA Sionna for wireless simulation.

Benefits

  • Flexible work arrangements

Job title

Senior Deep Learning Engineer – AI for Wireless Systems

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Postgraduate Degree

Location requirements

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