AI DSP Engineer — Wireless ML & RF Sensing (Hybrid)

DeepSig, Inc.; Arlington (VA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

DeepSig Inc. in Arlington, VA is seeking a Full-time Machine Learning DSP Engineer to blend software DSP and ML for AI-native wireless systems, in simulation and deployed products.

You will develop and validate ML and communication algorithms across modem and sensing solutions. The role requires a MS/PhD in EE/CS, Python proficiency, DL framework experience (PyTorch/TensorFlow), and strong problem-solving in DSP, RF sensing, and signal processing.

Qualifications

• MS or PhD in Electrical/Computer Engineering, Computer Science, or related field.
• Proficient in Python.
• Familiar with DL frameworks like PyTorch or TensorFlow.
• Experience in DL, RF Sensing, or Signal Processing.
• Strong communication and teamwork in a small company.

Responsibilities

• Build ML models for RF sensing applications.
• Advance ML for RF systems and modems.
• Optimize training and inference pipelines combining software and DSP.
• Collaborate with product teams to improve sensing capabilities.
• Work with real-world RF datasets and ML-driven systems.

Skills

Python

Deep Learning

DSP

RF/Signals

C++

CUDA

TensorRT

PyTorch

TensorFlow

Education

MS or PhD in Electrical/Computer Engineering, Computer Science, or related field

Tools

PyTorch

TensorFlow

TensorRT

CUDA

C++

Job description

DeepSig Inc. in Arlington, VA is seeking a Full-time Machine Learning DSP Engineer to blend software DSP and ML for AI-native wireless systems, in simulation and deployed products.

You will develop and validate ML and communication algorithms across modem and sensing solutions. The role requires a MS/PhD in EE/CS, Python proficiency, DL framework experience (PyTorch/TensorFlow), and strong problem-solving in DSP, RF sensing, and signal processing.