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Remote Digital Signal Processing Jobs in Washington

STR

Senior Scientist - Radar Signal Processing

Arlington, VA · On-site +1

$139K - $170K/yr

A successful candidate will have working knowledge in one or more of the following areas: advanced signal processing, radar systems, RF remote sensing, or resource management; or a strong background ...

VTG

Senior Software Engineer

Hanover, MD · On-site +1

$200K - $245K/yr

... Digital Signal Processing (DSP) algorithms for high-throughput signal exploitation. The ideal ... This position may be eligible for hybrid opportunities, working up to two days remote each week.

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Remote Digital Signal Processing information

What is a remote digital signal processing job?

A Remote Digital Signal Processing (DSP) job involves analyzing, modifying, and interpreting digital signals such as audio, video, or sensor data using algorithms and mathematical techniques, all while working from a remote location. DSP professionals typically design and implement software or firmware that processes these signals for applications in telecommunications, audio engineering, biomedical devices, and more. Working remotely, they collaborate with teams using online tools, develop code, test systems, and solve engineering problems without needing to be on-site. This role requires strong analytical skills, proficiency in programming languages like MATLAB or Python, and knowledge of signal processing theory.

What are the key skills and qualifications needed to thrive as a remote digital signal processing engineer?

To excel as a Remote Digital Signal Processing (DSP) Engineer, you need a solid background in electrical engineering, mathematics, and DSP theory, often supported by a relevant degree. Expertise in tools like MATLAB, Python, Simulink, and familiarity with DSP hardware or software platforms is typically required. Strong problem-solving abilities, effective communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These competencies are essential to design, analyze, and implement efficient digital signal processing solutions in a distributed work environment.

What are some common challenges faced by professionals in remote digital signal processing roles, and how can they be managed?

Professionals working in remote digital signal processing (DSP) roles often encounter challenges such as effective collaboration with distributed teams, managing large datasets, and ensuring reliable testing of algorithms without direct access to lab equipment. To overcome these, it's important to leverage cloud-based collaboration tools, maintain thorough documentation, and utilize remote access to shared development environments or simulators. Regular virtual meetings and clear communication protocols also help keep projects on track and ensure alignment among team members.

What is the difference between Remote Digital Signal Processing vs Remote Audio Signal Processing?

AspectRemote Digital Signal ProcessingRemote Audio Signal Processing
CredentialsBachelor's or higher in Electrical Engineering, Computer Science, or related fieldsBachelor's or higher in Audio Engineering, Acoustics, or related fields
Work EnvironmentSoftware development, algorithm design, data analysisAudio analysis, sound engineering, music technology
Industry UsageTelecommunications, radar, biomedical devicesMusic production, broadcasting, sound design
Common Search/ComparisonYesYes

Remote Digital Signal Processing involves designing algorithms for various signals like radar, biomedical data, or communication signals, often requiring strong programming skills. Remote Audio Signal Processing focuses on analyzing and enhancing audio signals for applications like music, broadcasting, or sound design. While both roles require knowledge of signal processing, their industry focus and specific skills differ, making them distinct career paths.

What are the most commonly searched types of Digital Signal Processing jobs in Washington?

The most popular types of Digital Signal Processing jobs in Washington are:

What are popular job titles related to Remote Digital Signal Processing jobs in Washington?

For Remote Digital Signal Processing jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Remote Digital Signal Processing jobs in Washington look for?

The top searched job categories for Remote Digital Signal Processing jobs in Washington are:

What cities in Washington are hiring for Remote Digital Signal Processing jobs?

Cities in Washington with the most Remote Digital Signal Processing job openings:

Remote Digital Signal Processing jobs near you

Digital Signal Processing Software Engineer

Mclean, VA • On-site, Remote

Booz Allen Hamilton, Inc.
IT Services • 10K+ employees
Learn more about Booz Allen Hamilton, Inc.external

$86K - $198K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted yesterday

Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

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

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