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Remote Digital Signal Processing Engineer Jobs in Virginia

ICF

Digital Project Manager (Remote)

Reston, VA · Remote

... of engineers, UX designers and researchers, business analysts, product managers, analytics ... Working knowledge of the technical software development process, Agile delivery methods including ...

DeepSig Inc

O-RAN DU Test Engineer

Arlington, VA · On-site +1

Description Type: Full-Time(W2) On-site/Hybrid, Arlington, VA (Remote option available for the ... how signal processing is done with AI/ML, a welcoming and inclusive environment, a flexible ...

Oteemo, Inc

Sr. Full Stack Engineer

Reston, VA · Remote

We're not just another consulting firm-we're architects of digital evolution, blending cutting-edge ... Angular 20 preferred), including signals-based reactivity, standalone components, and the modern ...

QinetiQ US

Mission Engineer

Chantilly, VA · On-site +1

... signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented ... Mission Engineers support the Mission Engineering Lead in efforts to translate Warfighter needs ...

Node.Digital

Senior RPA UIPath Developer

Herndon, VA · On-site +1

$56 - $74/hr

Remote work Required: US Citizenship Requirements The RPA Developer will support the RPA team in ... D i gital is an independent Digital Automation & Cognitive Engineering company that integrates best ...

Node.Digital

Senior RPA UIPath Developer

Herndon, VA · Remote

$56 - $74/hr

Remote work Required: US Citizenship Requirements The RPA Developer will support the RPA team in ... D i gital is an independent Digital Automation & Cognitive Engineering company that integrates best ...

Varsity Tutors

Electrical Engineering Tutor

Norfolk, VA · Remote

$40/hr

... analog and digital electronics, power systems, signal processing, control systems, and ... Emphasizes mathematical rigor in engineering analysis and connects electrical engineering to power ...

Varsity Tutors

Electrical Engineering Tutor

Fairfax, VA · Remote

$40/hr

... analog and digital electronics, power systems, signal processing, control systems, and ... Emphasizes mathematical rigor in engineering analysis and connects electrical engineering to power ...

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Remote Digital Signal Processing Engineer information

What are the key skills and qualifications needed to thrive as a Remote Digital Signal Processing Engineer, and why are they important?

To thrive as a Remote Digital Signal Processing (DSP) Engineer, you need a solid background in electrical engineering, mathematics, and DSP theory, often supported by a bachelor's or master's degree in a related field. Familiarity with tools such as MATLAB, Python, C/C++, and DSP development environments, as well as experience with relevant certifications, is essential. Strong problem-solving abilities, self-motivation, and effective remote communication are standout soft skills for this role. These skills ensure accurate signal analysis, efficient project delivery, and seamless collaboration with distributed engineering teams.

What are some common challenges faced by remote Digital Signal Processing Engineers and how can they be addressed?

Remote Digital Signal Processing (DSP) Engineers often face challenges such as effective real-time collaboration with cross-functional teams, accessing specialized hardware for testing, and managing complex project documentation. To address these, many teams use collaborative platforms for code reviews, version control, and communication, as well as remote access to lab equipment or simulation tools. Proactive communication and clear documentation are essential for staying aligned with team goals and timelines, enabling remote DSP engineers to contribute effectively despite geographical distance.

What is a Remote Digital Signal Processing Engineer?

A Remote Digital Signal Processing (DSP) Engineer is a professional who designs, develops, and implements algorithms and systems for processing digital signals such as audio, video, radar, or sensor data, while working from a remote location. They use mathematical and computational techniques to analyze and manipulate signals to achieve desired outcomes, such as noise reduction, data compression, or feature extraction. Remote DSP Engineers typically collaborate with teams using digital tools, contribute to product development, and may work in industries such as telecommunications, audio engineering, medical imaging, or defense. Their role often involves programming, simulation, and testing of algorithms using languages like MATLAB, Python, or C/C++.

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

AspectRemote Digital Signal Processing EngineerRemote Audio Signal Processing Engineer
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Science, or related fields; knowledge of DSP algorithmsBachelor's or Master's in Audio Engineering, Electrical Engineering, or related fields; expertise in audio processing
Work EnvironmentRemote, often in tech or telecommunications companiesRemote, mainly in music, media, or audio technology companies
Industry UsageTelecommunications, defense, consumer electronicsMusic production, broadcasting, audio hardware/software

The main difference is that Remote Digital Signal Processing Engineers focus on a broad range of signals like radio, radar, or telecommunications, while Remote Audio Signal Processing Engineers specialize in audio signals for music, media, and broadcasting. Both roles require strong DSP knowledge and often work remotely in tech-driven industries.

What are the most commonly searched types of Digital Signal Processing Engineer jobs in Virginia? The most popular types of Digital Signal Processing Engineer jobs in Virginia are:
What are popular job titles related to Remote Digital Signal Processing Engineer jobs in Virginia? For Remote Digital Signal Processing Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Digital Signal Processing Engineer jobs in Virginia look for? The top searched job categories for Remote Digital Signal Processing Engineer jobs in Virginia are:
What cities in Virginia are hiring for Remote Digital Signal Processing Engineer jobs? Cities in Virginia with the most Remote Digital Signal Processing Engineer job openings:
Remote Digital Signal Processing Engineer jobs near you
Radio Frequency Software Engineer Lead - 1648

Radio Frequency Software Engineer Lead - 1648

Global Infotek, Inc.

Reston, VA • On-site, Remote

Other

Posted 8 days ago

Job description

Clearance Level:Public Trust
ship:Required
Job Classification:Full Time
Location:Remote
Years of Experience:7-10 years of relevant experience
Education Level:BS Degree experience may be considered in place of education requirement.
Briefly Describe the Work:
GITI is seeking a Lead RF Software Engineer to support Cyber Operations Research and Development on passive RF emitter identification and network analysis from real-time sensor data streams. The candidate will implement, test, and maintain components of production software pipeline a stream ingestion, rollup, and post-processing system operating on NDF (Network Description File) data produced by TDMA network sensors in dense, contested RF environments. Working under the direction of the Principal Engineer and the Technical Lead. The Lead RF Software Engineer supports Cyber Operations by contributing to pipeline development across a range of functional areas including stream processing, database integration, display and reporting tools, simulation infrastructure, and CI/CD tooling. The role requires strong Python skills, comfort with air-gapped Linux environments, and the ability to work independently on well-defined components with minimal supervision in support of real world cyber operations.
Responsibilities:
  • Implement, test, and maintain assigned pipeline components including stream ingestion, rollup processing, database write, and batch post-processing modules in support of real world cyber operations
  • Develop and maintain browser-based visualization and reporting tools (track plots, waterfall displays, SmartBook report generation) that consume pipeline database output
  • Implement and maintain stream simulation infrastructure, including TDMA network mission log replay and stream generation at controllable rates for pipeline testing
  • Develop lightweight TNS simulator components: emitter and receiver models capable of following track plots and emitting in accordance with a network description
  • Contribute to database integration work on tactical-box-spec hardware, including MySQL schema design, query optimization, and performance benchmarking
  • Write comprehensive unit and integration tests for assigned components; implement and maintain CI/CD pipelines using GitLab to ensure functionality on hardware or in cloud environment
  • Identify and report performance bottlenecks in Python pipeline components; assist with porting mature components to Rust or C as directed
  • Perform basic Linux system administration on remote servers including package management, user configuration, and environment setup
  • Manage source code using GitLab; follow disciplined versioning, branching, and code review practices as established by the Principal Engineer
  • Produce clear technical documentation for implemented components including interface specifications, configuration guides, and test procedures
  • Participate in periodic technical check-ins with the program technical lead; share findings and flag blockers promptly
Career level with a complete understanding and wide application of technical principles, theories, and concepts. Working under general direction from the Principal Engineer, provides technical solutions to a wide range of well-defined problems and independently executes on assigned components. Bachelor s (or equivalent) with 7-10 years of experience, or a Master s with 5-7 years of experience.
Required Skills:
  • Strong proficiency in Python, with demonstrated experience in data processing pipelines, stream ingestion, or ETL development
  • Proficiency with Python data science libraries including NumPy, Pandas (or Polars), and scikit-learn
  • Experience with relational database development using MySQL, PostgreSQL, or SQLite, including schema design and query optimization
  • Experience parsing or generating binary serialization formats (FlatBuffers, Protocol Buffers, or equivalent)
  • Ability to develop, test, and debug on remote Linux servers via SSH using command-line tools and a modern IDE
  • Solid Linux operating system fundamentals including file system management, process control, and basic security hardening (Ubuntu)
  • Proficient in software engineering practices including Git/GitLab version control, unit testing, and CI/CD pipeline usage
  • Experience developing browser-based data visualization or reporting tools, or demonstrated ability to learn React/D3-based tooling on the job
  • Strong written and oral communication skills; ability to produce clear technical documentation for engineering audiences
  • Ability to work independently on assigned components with minimal supervision in a small, distributed team
Desired Skills:
  • Experience with TNS (Target Network System) sensor data formats and NDF ICD specifications
  • Familiarity with TDMA network protocols, time-division access architectures, and passive RF signal processing concepts
  • Experience with lightweight stream or message queue architectures (ZeroMQ, RabbitMQ, or equivalent)
  • Experience with Rust or Go for systems-level or performance-critical development on Linux
  • Experience with Polars or DuckDB for high-performance analytical workloads
  • Experience with performance profiling and optimization of Python pipelines on resource-constrained x86 hardware
  • Experience with LLM-assisted software development tools (e.g., Claude Code, GitHub Copilot, JetBrains AI Assistant, or equivalent); demonstrated ability to use AI tools productively for code generation, refactoring, and test case development while maintaining engineering judgment and code quality standards
  • Familiarity with AI/ML libraries (PyTorch, TensorFlow); ability to integrate trained model inference into a pipeline without requiring deep ML expertise
  • Experience with Jupyter Notebooks and research enclave environments; ability to read and adapt research prototype code
  • Experience with simulation or synthetic data generation for pipeline testing purposes
  • Familiarity with Apache data science tools such as Spark or Dask for large-scale data processing
Relevant Certifications:
  • Certifications in software engineering, computer science, or related fields (e.g., Certified Software Development Professional (CSDP); Certified Scrum Developer (CSD); Red Hat Certified Enterprise Application Developer; Certified Secure Software Lifecycle Professional (CSSLP); C++ Certified Associate Programmer (CPA); Professional Software Developer Certification (PSD); etc.)
Global InfoTek, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.
About Global InfoTek, Inc. Global InfoTek Inc. has an award-winning track record of designing, developing, and deploying best-of-breed technologies that address the nation s pressing cyber and advanced technology needs. GITI has rapidly merged pioneering technologies, operational effectiveness, and best business practices for over two decades.

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