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Work From Home Digital Signal Processing Jobs (NOW HIRING)

We offer internships with a variety of work arrangements from onsite interns to fully remote in US ... Deliver digital signal processing and Machine Learning features into a variety of intelligent ...

We offer internships with a variety of work arrangements from onsite interns to fully remote in US ... Deliver digital signal processing and Machine Learning features into a variety of intelligent ...

We offer internships with a variety of work arrangements from onsite interns to fully remote in US ... Deliver digital signal processing and Machine Learning features into a variety of intelligent ...

New

Develop, test, and evaluate advanced signal processing algorithms and communication techniques ... site/work from home arrangement based on project needs. This role may require periodic CONUS and ...

Develop, test, and evaluate advanced signal processing algorithms and communication techniques ... work from home arrangement based on project needs. Questions related to flexible work should be ...

$121K - $231K/yr

... from the recorded data, and generation of reports and presentations to document findings * Work on ... Signal Processing * MATLAB * Algorithm Development * Ability to work well as part of a team

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Engage in research efforts ranging from proof-of-concept through integrated production Required ...

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Work From Home Digital Signal Processing information

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$53.5K

$131.3K

$193.5K

How much do work from home digital signal processing jobs pay per year?

As of Sep 4, 2026, the average yearly pay for work from home digital signal processing in the United States is $131,349.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,500.00 and $147,500.00 per year, depending on experience, location, and employer.

What is a work from home digital signal processing professional?

A Work From Home Digital Signal Processing (DSP) job involves analyzing, modifying, and optimizing digital signals such as audio, video, or sensor data remotely. Professionals in this role use algorithms and software to process signals for applications in telecommunications, medical imaging, radar, and more. Typical responsibilities include developing DSP algorithms, coding in languages like MATLAB or Python, and testing signal processing techniques. Many industries, including defense, healthcare, and consumer electronics, rely on DSP professionals. Working from home requires strong problem-solving skills, self-motivation, and collaboration through virtual communication tools.

What does a work from home digital signal processing professional do?

As a Work From Home Digital Signal Processing professional, your days often involve designing and implementing algorithms for processing audio, image, or sensor data, analyzing signals using specialized software, and running simulations to validate results. You may also be responsible for documenting your work, troubleshooting issues, and collaborating with project managers, engineers, or clients through virtual meetings. Regular communication and reporting are essential to ensure your work aligns with project requirements. This role requires a balance of independent problem-solving and effective teamwork, often leveraging cloud-based tools to coordinate with others.

What are the key skills and qualifications needed to thrive in the work from home digital signal processing position?

To thrive as a Work From Home Digital Signal Processing professional, you need a strong background in DSP theory, algorithm development, and programming languages such as MATLAB, Python, or C++. Familiarity with DSP hardware, signal analysis tools, and industry certifications in signal processing or engineering are highly beneficial. Strong problem-solving skills, self-motivation, and clear remote communication abilities help you excel in a distributed work environment. These competencies are vital for efficiently developing, testing, and deploying signal processing solutions while collaborating virtually with team members and meeting project goals.

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Infographic showing various Work From Home Digital Signal Processing job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $131,349 per year, or $63.1 per hour.

Digital Signal Processing Software Engineer

Booz Allen Hamilton, Inc.

Mclean, VA • On-site, Remote

$86K - $198K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 22 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

11th of 72 rated business consultants


Job description


Remote Work:
No
Job Number:
R0248597
Location:
McLean,VA,US
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Digital Signal Processing Software Engineer
The Opportunity:
Develop full-stack software applications that integrate digital signal processing algorithms and RF theory techniques. 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. Mentor or supervise employees in both company and technical competencies.
You Have:
  • 3+ years of experience with software development languages, including Python, C, or C++
  • Experience with containerization using tools such as Docker
  • Experience using Agile processes and tools, including Jira or Confluence
  • Experience using version control, including GitHub
  • Ability to work in a team environment to brainstorm and innovate new ideas
  • Ability to obtain a TS/SCI clearance with a polygraph
  • Bachelor's degree in a STEM field

Nice If You Have:
  • 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 with RF theory techniques and digital signal processing algorithms
  • Experience designing distributed and real-time processing full stack applications
  • Experience with UI development such as React
  • Experience using Linux systems
  • TS/SCI clearance with a polygraph

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
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.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914