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Remote Signal Processing Postdoctoral Jobs in Virginia

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

Background in signal processing, image processing, or remote sensing data workflows. * Experience with simulation, modeling, or mission analysis software in a defense or intelligence context.

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

Background in signal processing, image processing, or remote sensing data workflows. * Experience with simulation, modeling, or mission analysis software in a defense or intelligence context.

None Potential for Remote Work: ORA_ON_SITE Description Position Description The successful ... Knowledge of RF engineering principles, wideband receiver architectures, digital signal processing ...

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

Background in signal processing, image processing, or remote sensing data workflows. * Experience with simulation, modeling, or mission analysis software in a defense or intelligence context.

Principal Electrical Systems Engineer

Herndon, VA · On-site +1

$142K - $174K/yr

... remote sensing technologies for demanding spaceflight applications. This position is ideal for an ... Experience with power distribution, control electronics, instrumentation, mixed-signal systems, and ...

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Remote Signal Processing Postdoctoral information

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

To thrive as a Remote Signal Processing Postdoctoral Researcher, you need a Ph.D. in electrical engineering, computer science, or a related field, with expertise in signal processing theory and algorithms. Experience with programming languages such as Python or MATLAB, and familiarity with simulation tools or machine learning frameworks, is typically required. Strong analytical thinking, independent research skills, and effective written and verbal communication set outstanding candidates apart. These skills are crucial for advancing research, publishing results, and collaborating remotely with interdisciplinary teams.

What are some common challenges faced by remote signal processing postdoctoral researchers, and how can these be effectively managed?

Remote signal processing postdocs often encounter challenges such as limited access to specialized lab equipment, potential communication barriers with collaborators, and the need for strong self-motivation and time management. To address these, many researchers leverage cloud-based computing resources, regularly schedule virtual meetings, and participate in collaborative online platforms to stay connected with their teams. Setting clear research goals and maintaining open communication with supervisors can also help ensure ongoing progress and support while working remotely.

What is a Remote Signal Processing Postdoctoral researcher?

A Remote Signal Processing Postdoctoral researcher is a scientist who has recently completed their Ph.D. and conducts advanced research in signal processing—analyzing and interpreting signals such as audio, images, or sensor data—while working remotely. This position typically involves developing new algorithms, analyzing data, and publishing results in scientific journals. The 'remote' aspect means that the researcher can work from anywhere, collaborating with teams and contributing to projects online. These roles are common in fields like telecommunications, biomedical engineering, and geosciences.
What are the most commonly searched types of Signal Processing Postdoctoral jobs in Virginia? The most popular types of Signal Processing Postdoctoral jobs in Virginia are:
What are popular job titles related to Remote Signal Processing Postdoctoral jobs in Virginia? For Remote Signal Processing Postdoctoral jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Signal Processing Postdoctoral jobs in Virginia look for? The top searched job categories for Remote Signal Processing Postdoctoral jobs in Virginia are:
What cities in Virginia are hiring for Remote Signal Processing Postdoctoral jobs? Cities in Virginia with the most Remote Signal Processing Postdoctoral job openings:

Software Engineer, Senior

GRVTY

Herndon, VA • On-site, Remote

$126K - $166K/yr

Other

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

What Impact You'll Have

GRVTY is looking for a Senior Software Engineer to join a small, technically focused team supporting national security missions at a customer site in Herndon, Virginia. This is hands-on engineering work - you will be designing and building Python-based software tools that support optical signature modeling, spectral data analysis, and machine learning-enabled sensor workflows. The work spans algorithm development, data pipeline construction, and integration of ML capabilities into operational and analytical environments.

You will work directly with scientists, sensor domain experts, and intelligence analysts - translating complex technical requirements into functional, maintainable software. This is not a role for someone looking to coast. We want someone who is technically sharp, can operate with a degree of autonomy, and understands that the software they build has real downstream impact on mission outcomes.

What You'll be Owning

  • Design, develop, and maintain Python-based software tools supporting optical signature modeling, spectral sensor data processing, and analytical workflows.
  • Work with sensor physicists, data scientists, and machine learning engineers to translate technical concepts and mission requirements into working software.
  • Build and optimize data pipelines for ingesting, processing, and analyzing large-scale scientific and sensor datasets.
  • Develop and integrate machine learning workflows - including training data preparation, model integration, and evaluation - into operational toolsets.
  • Create clear software architecture documentation, workflow diagrams, and code structure so tools can be maintained, extended, and transitioned effectively.
  • Test, validate, and troubleshoot algorithms and software modules across development and deployment environments, including classified workspaces.
  • Manage and maintain Git repositories with discipline - clean commits, meaningful documentation, and reproducible builds.
  • Contribute to a culture of technical rigor: peer reviews, coding standards, and honest engagement with complex problems.

What You Must Have

  • Active TS/SCI clearance with ability to obtain CI polygraph.
  • Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, Data Science, or a related STEM field. Equivalent hands-on experience will be considered.
    • 9+ years of professional software development experience, with demonstrated focus on scientific computing, algorithm development, data processing, or related technical domains or 7+ years of experience with a Masters degree
  • Expert-level Python programming, including object-oriented design, modular architecture, and production-quality code.
  • Experience developing software for data-intensive workflows - sensor data, scientific data, simulation, or equivalent.
  • Ability to work from technical or scientific requirements and produce well-structured software architecture, logic flows, and implementation plans.
  • Comfortable operating in both Windows and Linux environments, including secure or classified customer workspaces.
  • Familiarity with source control and development tooling: Git, GitLab, Bitbucket, Jira, Jenkins, or equivalent.
  • Strong communication skills - able to work directly with domain experts who are not software engineers and translate what they need into software that actually works.

What Would be Nice to Have

  • Experience with optical signature modeling, EO/IR sensor data, spectral analysis, or hyperspectral data processing.
  • Familiarity with machine learning frameworks and workflows: PyTorch, TensorFlow, scikit-learn, or equivalent.
  • Experience with scientific Python libraries: NumPy, pandas, OpenCV, SciPy, or similar.
  • Background in signal processing, image processing, or remote sensing data workflows.
  • Experience with simulation, modeling, or mission analysis software in a defense or intelligence context.
  • Familiarity with ML/Ops practices - training pipelines, data labeling, model evaluation, and deployment workflows.
  • Experience integrating algorithms into existing operational software suites.
  • Proficiency in a secondary technical language: C, C++, MATLAB, Java, or Rust.
  • Advanced degree in a relevant technical field (Computer Science, Electrical Engineering, Physics, Image Science, or related).
  • Prior experience supporting defense, intelligence, or classified customer environments.
  • Experience with CI/CD practices, automated testing, and DevSecOps tooling.