Digital Signal Processing Software Engineer

Booz Allen Hamilton; Chantilly (VA); On-site; USD 120,000 - 160,000; Full time

Job summary

Booz Allen Hamilton in Chantilly, VA is seeking a Digital Signal Processing Software Engineer to develop software and analytic tools for wired or wireless signaling data, applying advanced principles and contributing to new concepts.

The role requires 3+ years in Python/C/C++, DSP or RF theory, Agile with Jira/Confluence, and TS/SCI clearance with polygraph. You'll mentor teammates and work with cross‑functional teams to deliver innovative solutions.

Qualifications

• 3+ years of software development experience with Python, C, or C++.
• Experience with digital signal processing algorithms or RF theory.
• Experience with Agile processes and tools (Jira or Confluence).
• Bachelor's degree in a STEM field.

Responsibilities

• Develop software or analytic tools for wired or wireless signaling data.
• Mentor or supervise employees in both company and technical competencies.

Skills

Python

C/C++

Digital signal processing

Agile processes

TS/SCI clearance with polygraph

Education

Bachelor's degree in STEM field

Tools

Jira

Confluence

Job description

Digital Signal Processing Software Engineer

Use tools, techniques, systems, and procedures for developing software or analytic tools for wired or wireless transmission of signaling data. Apply leading‑edge principles, theories, and concepts and contribute to the development of new principles and concepts. Work on unusually complex problems and provide highly innovative solutions. Operate with substantial latitude for unreviewed action or decision. Mentor or supervise employees in both company and technical competencies.

Qualifications

• 3+ years of experience with software development languages, including Python, C, or C++
• Experience with digital signal processing algorithms or RF theory
• Experience using Agile processes and tools, including Jira or Confluence
• Ability to work in a team environment to brainstorm and innovate new ideas
• TS/SCI clearance with a polygraph
• Bachelor's degree in a STEM field

Preferred Qualifications

• Experience with firmware development languages such as VHDL, Verilog, or CoreFire
• Experience with machine learning packages and building and testing neural network architectures using TensorFlow, Keras, or PyTorch
• Experience using version control, including GitHub
• Experience using Linux systems

Applicants must meet eligibility requirements for access to classified information; mandatory TS/SCI clearance with polygraph is required.

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.