AI/ML Software Engineer — RF & DSP Analytics

Booz Allen Hamilton; McLean (VA); On-site; USD 99,000 - 225,000; Full time

Job summary

Booz Allen Hamilton in McLean, Virginia, seeks an AI/ML Software Engineer to develop, deploy, and analyze signaling data using advanced AI/ML techniques. You will work on tools and algorithms across RF and DSP domains, collaborating with teammates to solve moderately complex problems.

This role requires 3+ years with ML libraries (TensorFlow, Keras, PyTorch, ONNX), 3+ years in Python/C/C++, and a STEM degree. Some travel and the ability to obtain a TS/SCI with polygraph are expected.

Qualifications

• 3+ years of ML libraries such as TensorFlow, Keras, PyTorch, or ONNX.
• 3+ years of software development in Python, C, or C++.
• Experience with RF theory or DSP algorithms.
• Experience benchmarking and optimizing neural networks.
• Bachelor's degree in a STEM field.

Responsibilities

• Develop, deploy, or analyze signaling data using AI/ML techniques.
• Collaborate with cross-functional teams and guide junior staff.
• Work independently with occasional guidance and review peers.

Skills

ML libraries familiarity

Software development

RF theory / DSP

Benchmarking & optimization

Cross-functional collaboration

Travel up to 25%

TS/SCI clearance with polygraph

STEM degree

Education

Bachelor's degree in STEM

Master's degree in STEM

Tools

Python

C

C++

TensorFlow

Keras

PyTorch

ONNX

Job description

Booz Allen Hamilton in McLean, Virginia, seeks an AI/ML Software Engineer to develop, deploy, and analyze signaling data using advanced AI/ML techniques. You will work on tools and algorithms across RF and DSP domains, collaborating with teammates to solve moderately complex problems.

This role requires 3+ years with ML libraries (TensorFlow, Keras, PyTorch, ONNX), 3+ years in Python/C/C++, and a STEM degree. Some travel and the ability to obtain a TS/SCI with polygraph are expected.