The Digital Signal Processing Software Engineer develops software and analytic tools to process wired or wireless signaling data, applying DSP principles to solve complex problems and mentor staff. This onsite role is based in McLean, Virginia.
Responsibilities
- Develop software and analytic tools for transmitting signaling data over wired or wireless channels, using established methods, systems, and procedures.
- Apply advanced principles and concepts, contributing to the creation of new theories and approaches.
- Tackle unusually complex problems and deliver highly innovative, effective solutions.
- Operate with substantial latitude for independent action and decision making.
- Mentor or supervise colleagues across both company and technical competencies.
Requirements
- At least 3 years of software development experience with languages such as Python, C, or C++.
- Experience with digital signal processing algorithms or RF theory.
- Familiarity with Agile processes and tools, including Jira or Confluence.
- Ability to collaborate in a team environment to brainstorm and innovate.
- TS/SCI clearance with a polygraph is required.
- Bachelor’s degree in a STEM field.
Technologies
- Python, C, C++
- Jira, Confluence
- VHDL, Verilog
- CoreFire, TensorFlow, Keras, PyTorch
- GitHub, Linux
Benefits
- Health benefits
- Life insurance
- Disability benefits
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
Clearance
Applicants selected will be subject to a security investigation and must meet eligibility requirements for access to classified information; TS/SCI clearance with polygraph is required.
Compensation
The projected compensation range is $86,800.00 to $198,000.00 per year (USD). This posting will close within 90 days from the posting date. Full-time and part-time employees who regularly work at least 20 hours per week are eligible to participate in Booz Allen’s benefit programs; those who do not meet the threshold are eligible only for select offerings. Benefits encompass health, life, disability, financial, and retirement programs, along with paid leave, professional development, tuition assistance, work-life programs, and dependent care.
Identity Verification
As part of the hiring process, applicants may be asked to complete an identity verification process that uses biometric and artificial intelligence technologies to ensure authenticity and prevent fraud. Interview and assessment sessions may require on-camera participation, and Booz Allen reserves the right to capture a photo for identity verification purposes.
Candidate AI Usage Policy
AI tools are part of the daily workflow at Booz Allen, with an emphasis on responsible and ethical use. The use of AI or similar tools to assist with interview responses is prohibited unless explicit permission is provided.
Work Model
Onsite roles involve primarily working at a Booz Allen or customer facility, with collaboration across teams and clients as required by the role. Hybrid arrangements may necessitate frequent work from a Booz Allen facility and possible visits to customer sites. Remote options, where listed, may still require occasional in-person work.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, or any other status protected by applicable law.
