Senior Wireless Machine Learning Engineer, AI-RAN

DeepSig
Any Location, VA
Job Description
Role Overview

We are seeking an experienced Technical Lead to architect and drive the development of our next-generation AI-native RAN. You will design, prototype, and validate novel AI/ML components that outperform traditional signal processing methods. You will work at the cutting edge of 6G innovation, taking concepts from mathematical intuition to simulation and real-time implementation.

What You Will Do

You will design and train modern deep learning models to solve complex physical layer problems, build high-fidelity link-level simulations, and transition research models into deployable applications for the Distributed Unit (DU).

Why It Might Be a Fit

You will drive technical innovation by authoring invention disclosures, filing patents, and generating technical reports to support our standardization team in 3GPP and O-RAN Alliance contributions.

Requirements

  • Ph.D. or Master’s in Computer Science, Electrical Engineering, or Applied Mathematics with a focus on Deep Learning and/or Communications Systems
  • 3+ years of experience designing and training deep neural networks from scratch
  • Strong grasp of modern architectures and optimization techniques
  • Experience applying machine learning to real-time time-series data, signal processing, or physics-based problems
  • Proven ability to read academic papers and implement their methods in robust Python code
  • Experience with differentiable simulation or digital twins
  • Understanding of wireless fundamentals (OFDM, MIMO, IQ data) is highly helpful
  • Experience with model quantization (FP16/INT8), pruning, or using TensorRT for real-time inference
  • Experience writing technical whitepapers or supporting patent filings in a research environment
  • Ability to write C++ bindings or integrate Python models into C++, SIMD, and Cuda production pipelines

Benefits

  • Competitive salaries
  • Employee stock option grant program
  • Flexible schedule
  • Great work / life balance
  • Welcoming and inclusive environment
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