ZipRecruiter

Log In

2

Remote Edge Computing Jobs in Virginia (NOW HIRING)

SAIC

Senior AI Systems Engineer

Chantilly, VA · On-site +1

$160K - $200K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Senior AI Systems ... You will help drive innovation, guide technical direction, and ensure the delivery of cutting edge ...

SAIC

AI Systems Engineer

Chantilly, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description  SAIC is seeking a highly skilled AI/ML ... You will help drive innovation, guide technical direction, and ensure the delivery of cutting edge ...

SAIC

Release Manager - Agile Lead

Chantilly, VA · On-site +1

None Potential for Remote Work: ORA_HYBRID Description SAIC is a trusted leader in delivering ... edge technologies are engineered, secured, and delivered to the fight. At the center of this ...

Bridge Core (BCore)

SME Software Engineer

Herndon, VA · Remote

$190K - $225K/yr

This program delivers Enterprise Computing engineering services with modern technology solutions ... and via remote Cloud services. As a mission-focused administrator that solves problems on the ...

Bridge Core (BCore)

SME Software Engineer

Herndon, VA · Remote

$190K - $225K/yr

This program delivers Enterprise Computing engineering services with modern technology solutions ... and via remote Cloud services. As a mission-focused administrator that solves problems on the ...

Raft Company Website

Staff DevSecOps Engineer

Dulles, VA · On-site +1

$150K - $210K/yr

S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in ... Experience with AWS and/or other cloud computing solutions * Experience with software packaging ...

Raft Company Website

Staff DevSecOps Engineer

Dulles, VA · On-site +1

$150K - $210K/yr

S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in ... Experience with AWS and/or other cloud computing solutions * Experience with software packaging ...

Bridge Core (BCore)

SME Software Engineer

Herndon, VA · Remote

$195K - $225K/yr

This program delivers Enterprise Computing Engineering services with modern technology solutions ... and via remote Cloud services. As a mission-focused administrator that solves problems on the ...

Bridge Core (BCore)

SME Software Engineer

Herndon, VA · Remote

$195K - $225K/yr

This program delivers Enterprise Computing Engineering services with modern technology solutions ... and via remote Cloud services. As a mission-focused administrator that solves problems on the ...

next page

Showing results 1-20

All JobsEdge Computing JobsRemote Edge Computing JobsRemote Edge Computing Jobs in Virginia

Remote Edge Computing information

What is the difference between Remote Edge Computing vs Remote Cloud Engineer?

AspectRemote Edge ComputingRemote Cloud Engineer
Required CredentialsNetworking, IoT, hardware knowledge, certifications in edge computing or networkingCloud platforms, scripting, certifications like AWS, Azure, GCP
Work EnvironmentDistributed hardware, local data processing sites, on-site or remote hardware managementData centers, cloud platforms, virtual environments
Employer & Industry UsageTech companies, IoT providers, manufacturing, retailTech firms, SaaS providers, enterprise IT, startups

Remote Edge Computing focuses on deploying and managing computing resources at the data source or network edge, often involving hardware and IoT devices. In contrast, Remote Cloud Engineers work primarily with cloud platforms to develop, deploy, and maintain cloud-based applications and infrastructure. Both roles require technical certifications and involve remote work, but they differ in their focus on hardware versus cloud services.

What are the most commonly searched types of Edge Computing jobs in Virginia? The most popular types of Edge Computing jobs in Virginia are:
What are popular job titles related to Remote Edge Computing jobs in Virginia? For Remote Edge Computing jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Edge Computing jobs in Virginia look for? The top searched job categories for Remote Edge Computing jobs in Virginia are:
What cities in Virginia are hiring for Remote Edge Computing jobs? Cities in Virginia with the most Remote Edge Computing job openings:
Remote Edge Computing jobs near you
Principal Scientist - AI/ML Specialization - WFH1651

Principal Scientist - AI/ML Specialization - WFH1651

Global InfoTek, Inc.

Reston, VA • On-site, Remote

Full-time

Re-posted 17 days ago

Job description

Clearance Level:
US Citizenship: Required
Job Classification: Full Time
Location: Remote
Years of Experience: 10+ years of relevant experience
Education Level: Advanced degree (MS or PhD) 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 Principal Scientist to serve as the senior technical authority on an R&D program focused on passive RF emitter identification and network analysis from real-time sensor data streams. The Principal Scientist leads independent, hands-on analysis of NDF (Network Description File) sensor datasets, provides technical direction across parallel research threads, and serves as the primary technical advisor to the government sponsor. The role spans the full research lifecycle: formulating hypotheses, writing and executing analytical code in Python and Jupyter notebooks, interpreting and validating results, and communicating findings to both technical peers and non-specialist stakeholders. This is a deeply technical, hands-on position - the Principal Scientist conducts analysis directly and does not delegate technical work as a substitute for personal proficiency. The candidate will work within a small, distributed team operating in air-gapped Linux environments on resource-constrained tactical edge hardware, with no cloud computing.
Responsibilities:
  • Conduct independent, hands-on data analysis on RF sensor datasets using Python and Jupyter notebooks - formulating hypotheses, writing and running analytical code, interpreting results, and producing findings that directly advance program research objectives
  • Provide technical advice and research direction across a multidisciplinary team; define analytical objectives, review and validate technical outputs from AI/ML engineers and software developers, and ensure coherence across parallel research threads
  • Serve as primary technical advisor to the government sponsor: translate operational requirements into research objectives, communicate findings clearly to non-specialist stakeholders, and maintain program alignment with sponsor priorities through written reports and technical presentations
  • Design and execute analytical investigations into RF sensor data quality, emitter behavior, and attribution reliability - including characterizing error sources, identifying systematic artifacts, and developing methods to distinguish real physical signatures from sensor or processing artifacts
  • Produce technical documentation - working notes, research findings, monthly status reports, and briefing materials - that accurately represent the scope and confidence level of analytical results

Expert-level career professional recognized as a technical authority in RF systems, signals intelligence, or a closely related applied domain. Exercises broad independent judgment in defining research approach, evaluating methods, and interpreting results. Operates with minimal supervision; accountable for the scientific integrity and practical relevance of program research outputs. Advanced degree (MS or PhD) with 10+ years of hands-on applied R&D experience.
Required Skills:
  • 10+ years of hands-on applied R&D experience in RF systems, signals intelligence, electronic warfare, or related domains.
  • Proven ability to quickly acquire domain knowledge; specifically in the areas of wireless digital communications and military techniques, tactics, and procedures
  • Demonstrated ability to independently develop and execute data analyses in Python or equivalent tools on real sensor datasets; must be capable of writing production-quality analytical code, not merely directing others to do so
  • Experience addressing common problems with large quantities of real-world data, such as imputation, noise, bias, and errors
  • Track record of working effectively on constrained-hardware edge systems - no cloud, no discrete GPU - with attention to computational efficiency and multi-core, multi-thread performance on x86 platforms

Desired Skills:
  • Deep familiarity with RF signal characteristics, sensor phenomenology, and the interpretation of passive receiver data - including recognition of processing artifacts, attribution ambiguities, and the limits of sensor-derived measurements
  • 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
  • Familiarity with TDMA network protocols, emitter identification techniques (CID/PID), and the signal processing challenges of dense, contested electromagnetic environments
  • Experience with interferometric direction-finding, TDOA geolocation, or related passive geolocation methods, including practical knowledge of their failure modes and accuracy limitations
  • 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:
  • Professional certifications in data science, signal processing, or related technical fields. Advanced academic credentials (PhD, MS) in a relevant quantitative discipline are strongly preferred and may substitute for certifications.

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.

Apply