AI-Driven Wireless RAN Lead Engineer (Hybrid/Remote)

DeepSig, Inc.; Arlington, Northern (VA, KY); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Stock option plan

Flexible schedule

Work-life balance

Job summary

DeepSig is seeking an experienced Technical Lead to architect and drive AI-native RAN development in Arlington, VA. You will design, prototype, and validate AI/ML components such as neural receivers, neural beamforming, and digital twins, taking concepts from theory to real-time implementation on NVIDIA GPUs.

Join a small, collaborative team that values innovation, open publications, and patents. The role blends research, prototyping, and deployment with a path toward leadership and impact in 6G

Qualifications

• Ph.D. or Master's in CS, EE, or applied math with focus on DL or communications.
• 3+ years designing and training deep neural networks from scratch.
• Experience applying ML to real-time time-series data and physics-based problems.
• Ability to read papers and implement methods in Python.
• Experience with differentiable simulation or digital twins (e.g., Sionna, JAX-based sims).

Responsibilities

• Applied AI research: Design and train deep learning models for channel estimation, MIMO detection, and beam management.
• Simulation & validation: Build high-fidelity link-level simulations to benchmark AI models against baselines.
• Prototyping & deployment: Translate research to deployable dApps for the DU, optimize latency and compute.
• New capabilities: Explore ISAC, neural scheduling, and neural channel digital twins.
• Innovation & IP: Author invention disclosures and support patent filings.
• Data engineering: Architect data pipelines for synthetic training data and sim-to-real transfer.

Skills

Deep Learning Architectures

Time-series ML for signal processing

Python

Research to Code

Model optimization

Education

Ph.D. or Master’s in CS/EE/Applied Math focusing on DL or Communications

Tools

TensorRT

CUDA

C++ Bindings

JAX

Job description

DeepSig is seeking an experienced Technical Lead to architect and drive AI-native RAN development in Arlington, VA. You will design, prototype, and validate AI/ML components such as neural receivers, neural beamforming, and digital twins, taking concepts from theory to real-time implementation on NVIDIA GPUs.

Join a small, collaborative team that values innovation, open publications, and patents. The role blends research, prototyping, and deployment with a path toward leadership and impact in 6G