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Remote Signal Processing Jobs in Washington (NOW HIRING)

Astrion

Surveillance Radar Engineer

Washington, DC · Remote

$120K - $140K/yr

Remote JOB STATUS: Full-time CLEARANCE: BI investigation CERTIFICATION: N/A TRAVEL: as needed Must be US citizen Astrion is seeking a Surveillance Radar Engineer to provide technical subject matter ...

DeepSig Inc

Senior Software Engineer

Arlington, VA · On-site +1

$141K - $185K/yr

... Remote option available for the right candidate) DeepSig is the industry leader in ML-based signal ... As part of the process, we may invite you to complete a short, practical exercise to showcase your ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

Work with signal processing data and time-series analysis * Improve local development and CI/CD for ... Onsite / Remote / Flexible work arrangements or hybrid options (position dependent) * Relocation ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

Work with signal processing data and time-series analysis * Improve local development and CI/CD for ... Onsite / Remote / Flexible work arrangements or hybrid options (position dependent) * Relocation ...

Signal Vine, Inc

Account Manager (REMOTE)

Alexandria, VA · On-site +1

Company Description Signal Vine is in search of a professional Account Manager with a competitive ... Additionally, during our interview process, our goal will be to learn more about you and yours will ...

iDirect GOVERNMENT

Senior FPGA Engineer

Herndon, VA · On-site +1

$133K - $171K/yr

This position is based out of our Herndon, VA location with the option of a remote work schedule ... Experience in Digital Signal Processing on FPGAs and SDR waveform implementation * Experience in ...

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Remote Signal Processing information

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

To thrive as a Remote Signal Processing Engineer, you need a strong background in electrical engineering, mathematics, and digital signal processing (DSP), usually backed by a relevant degree. Familiarity with software tools such as MATLAB, Python, and DSP libraries, as well as knowledge of remote communication protocols, is typically required. Excellent problem-solving abilities, independent work ethic, and effective remote communication skills help set top performers apart. These skills ensure accurate data analysis, efficient collaboration, and the successful development and deployment of signal processing solutions in distributed work environments.

What is remote signal processing?

Remote signal processing involves analyzing and interpreting signals, such as audio, video, or sensor data, from a distance using digital tools and algorithms. Professionals in this field work remotely to develop and implement software solutions that process various types of signals for applications like telecommunications, medical imaging, and radar systems. This job typically requires expertise in signal processing theory, programming, and sometimes machine learning, all of which can be done from a remote location using specialized software and collaborative tools.

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

One common challenge in remote signal processing roles is ensuring reliable data transmission and synchronization when working with distributed or cloud-based systems. Professionals often need to address latency, bandwidth limitations, and data integrity issues, especially when collaborating with geographically dispersed teams. Effective communication, robust data validation protocols, and leveraging version control tools can help mitigate these challenges. Additionally, staying updated with the latest remote collaboration technologies and workflow management tools can streamline project progress and enhance team productivity.
What are the most commonly searched types of Signal Processing jobs in Washington? The most popular types of Signal Processing jobs in Washington are:
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What cities in Washington are hiring for Remote Signal Processing jobs? Cities in Washington with the most Remote Signal Processing job openings:
Remote Signal Processing jobs near you
AI/ML Engineer, Senior - WFH1650

AI/ML Engineer, Senior - WFH1650

Global Infotek, Inc.

Reston, VA • On-site

$108K - $149K/yr

Other

Posted yesterday

Job description

Clearance Level:Public Trust (Secret Eligible)
ship:Required
Job Classification:Full Time
Location:Remote
Years of Experience:5 7 years of relevant experience
Education Level:BS or MS in Electrical Engineering, Computer Science, Applied Mathematics, or a closely related quantitative field. Experience may be considered in place of education requirement.
Briefly Describe the Work:
GITI is seeking a Senior AI/ML Engineer to support an R&D program focused on passive RF emitter identification and network analysis from real-time sensor data streams. The Senior AI/ML Engineer designs, builds, and validates machine learning models for RF emitter identification, conducts hands-on exploratory data analysis on NDF (Network Description File) sensor datasets, and implements ML data pipelines that operate on constrained tactical edge hardware. Working under the direction of the Principal AI/ML Engineer and program technical lead, the candidate collaborates closely with research scientists and software engineers to translate analytical findings into reproducible, well-documented ML experiments and pipeline components. The role requires strong Python and deep learning skills, comfort with real-world noisy sensor data, and the ability to work in air-gapped Linux environments without cloud infrastructure or GPU acceleration.
Responsibilities:
  • Design, build, and validate machine learning models for RF emitter identification including feature engineering from sensor data, training pipeline development, model evaluation, and iterative refinement based on results
  • Conduct hands-on exploratory data analysis on RF sensor datasets using Python and Jupyter notebooks writing and running analytical code, characterizing feature distributions, identifying data quality issues, and producing documented findings
  • Implement and maintain ML data pipelines ingesting NDF sensor streams, applying rollup and preprocessing logic, constructing training datasets, and ensuring pipeline correctness on constrained edge hardware with no cloud dependency
  • Collaborate with the technical lead and Principal AI/ML Engineer to investigate RF sensor data quality, attribution reliability, and feature behavior under contention writing code to characterize error sources, validate assumptions, and reproduce findings
  • Produce clear technical documentation of experiments, model configurations, and results maintaining reproducibility through disciplined versioning, and contributing to monthly status reports and team knowledge sharing
Career level with a complete understanding and wide application of machine learning principles and data science techniques. Working under general direction from the Principal AI/ML Engineer, executes independently on assigned modeling and analysis tasks, contributes to pipeline development, and produces reproducible, well-documented results. Bachelor s or Master s (or equivalent) with 5 7 years of hands-on applied experience.
Required Skills:
  • 5+ years of hands-on applied experience in machine learning, data science, or RF signal processing
  • Demonstrated proficiency in Python for ML and data science work PyTorch or TensorFlow for model development, Pandas/NumPy for data manipulation, and scikit-learn or similar for evaluation and baseline modeling
  • Hands-on experience designing, training, and evaluating deep learning models particularly metric learning, Siamese networks, or other similarity-learning architectures on real-world, noisy, imbalanced datasets
  • Practical experience handling real-world data quality problems missing values, label noise, class imbalance, systematic bias, and sensor artifacts and the ability to diagnose and address them without discarding valid data
  • Ability to develop and run ML pipelines on Linux-based systems without cloud infrastructure or GPU acceleration optimizing for CPU-only inference and multi-threaded data processing on resource-constrained x86 hardware
Desired Skills:
  • Familiarity with RF signal characteristics, passive receiver phenomenology, and sensor data interpretation including awareness of processing artifacts, attribution ambiguities, and measurement limits common in signals intelligence datasets
  • Hands-on experience applying machine learning particularly metric learning, deep learning networks, or similarity-learning architectures to RF or time-series signal data, including feature engineering, training pipeline development, and model validation
  • Exposure to TDMA network protocols or military datalink systems, and interest in learning the signal processing challenges of dense, contested electromagnetic environments
  • Familiarity with direction-finding, time-difference-of-arrival (TDOA), or related passive geolocation concepts understanding of their mathematical foundations and common failure modes is more important than operational experience
  • Experience with binary serialization formats (FlatBuffers, Protocol Buffers) and high-throughput sensor data pipelines operating in near-real-time on resource-constrained hardware
  • Background in statistical signal processing error ellipses, bearing estimation uncertainty, feature reliability under noise with the ability to distinguish statistically significant findings from artifacts of small sample size or improper normalization
Relevant Certifications:
  • Certifications in machine learning, data science, or related technical fields (e.g., TensorFlow Developer Certificate; PyTorch Certified Associate; AWS Certified Machine Learning Specialty; Microsoft Certified: Azure AI Engineer Associate; Certified Analytics Professional (CAP); 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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