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Remote Electromagnetic Compatibility Emc Engineer Jobs in Virginia

SAIC

Systems Engineer / Systems Integrator

Chantilly, VA · On-site +1

$160K - $200K/yr

None Potential for Remote Work: ORA_ON_SITE Description Systems Engineer/Systems Integrator USG ... compatibility and optimal performance. * Assess and recommend new technologies or upgrades to ...

Maximus

Lead Automation Tester

Mclean, VA · On-site +1

This role is hybrid, allowing for remote work, but requires the ability to work onsite at the work ... compatibility, performance, security, and compliance testing to validate readiness for deployment ...

SAIC

ServiceNow Developer

Springfield, VA · Remote

$56.50 - $77.50/hr

SW Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance ... TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a skilled and ...

SAIC

Senior ServiceNow Developer

Springfield, VA · Remote

$56.50 - $77.50/hr

SW Engineer Schedule: Full-Time Shift: Day Job Travel: Yes - 10% of the time Minimum Clearance ... TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a skilled and ...

AMERICAN SYSTEMS

Mainframe System Programmer

Mclean, VA · On-site +1

$120K - $140K/yr

... compatibility maintenance, schedule and implement changes as required and performs routine ... Provide 24x7/365 remote support services and on-premises response as needed. * Utilize IBM's SMP/E ...

RIVA Solutions Inc.

Lead Web Developer

Reston, VA · On-site +1

$125K/yr

Hybrid or Remote Terms: Full Time Clearance: U.S. Citizenship Preferred; Ability to Obtain Public ... Working knowledge of Section 508/WCAG, W3C validation, browser compatibility, mobile responsiveness ...

RIVA Solutions Inc.

Lead Web Developer

Reston, VA · On-site +1

Hybrid or Remote Terms: Full Time Clearance: U.S. Citizenship Preferred; Ability to Obtain Public ... Working knowledge of Section 508/WCAG, W3C validation, browser compatibility, mobile responsiveness ...

AMERICAN SYSTEMS

Mainframe System Programmer

Mclean, VA · On-site +1

$120K - $140K/yr

... compatibility maintenance, schedule and implement changes as required and performs routine ... Provide 24x7/365 remote support services and on-premises response as needed. * Utilize IBM's SMP/E ...

SAIC

QA Automation Tester

Reston, VA · On-site +1

$120K - $160K/yr

Test Engineer Schedule: Full-Time Shift: Day Job Travel: No Minimum Clearance Required: None ... None Potential for Remote Work: ORA_HYBRID Description The AI Agentic Program seeks a senior ...

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Remote Electromagnetic Compatibility Emc Engineer information

What is a remote electromagnetic compatibility EMC engineer?

Remote Electromagnetic Compatibility (EMC) Engineers are professionals who specialize in ensuring that electronic devices and systems operate without causing or being affected by electromagnetic interference, while working from a remote location. They analyze, test, and troubleshoot products to comply with EMC regulations and standards, often collaborating with design teams and regulatory bodies through digital communication tools. Their responsibilities may include developing EMC testing procedures, reviewing product designs, and preparing compliance documentation, all carried out remotely.

How do remote electromagnetic compatibility EMC engineers typically collaborate with cross-functional teams in a virtual work environment?

Remote EMC Engineers frequently work with design, hardware, and testing teams to ensure products meet regulatory standards for electromagnetic compatibility. This collaboration is often facilitated through virtual meetings, shared documentation platforms, and simulation tools, allowing for efficient communication and troubleshooting across locations. Regular coordination with project managers and compliance specialists also helps align EMC testing schedules with overall project timelines. Adapting to remote work requires strong communication skills and proficiency with digital collaboration tools to maintain seamless workflow and effective problem-solving.

What are the key skills and qualifications needed to thrive as a remote electromagnetic compatibility EMC engineer, and why are they important?

To thrive as a Remote Electromagnetic Compatibility (EMC) Engineer, you need a solid background in electrical engineering, knowledge of EMC standards, and experience with compliance testing, usually supported by a relevant engineering degree. Familiarity with EMC test equipment, simulation software (such as CST or HFSS), and certifications like iNARTE EMC Engineer are typically required. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for collaborating across teams and interpreting complex data remotely. These skills ensure product compliance with regulatory standards, minimize interference risks, and enable efficient troubleshooting in a remote work environment.

What is the difference between Remote Electromagnetic Compatibility Emc Engineer vs Remote RF Engineer?

AspectRemote Electromagnetic Compatibility Emc EngineerRemote RF Engineer
CertificationsEMC-related certifications (e.g., CISSP, CE, CEM)RF-specific certifications (e.g., FCC, RF Engineering certifications)
Work EnvironmentTesting labs, product design teams, compliance departmentsWireless communication systems, antenna design, signal testing
Industry UsageElectronics, consumer devices, automotive, aerospaceTelecommunications, wireless devices, radar systems
Common Search/ComparisonYesYes

The main difference is that Remote Electromagnetic Compatibility Emc Engineers focus on ensuring electronic devices meet EMC standards to prevent interference, while Remote RF Engineers specialize in designing and testing radio frequency systems and antennas. Both roles require technical expertise but differ in their specific focus areas within the electronics and communications industries.

What are the most commonly searched types of Electromagnetic Compatibility Emc Engineer jobs in Virginia?

The most popular types of Electromagnetic Compatibility Emc Engineer jobs in Virginia are:

What are popular job titles related to Remote Electromagnetic Compatibility Emc Engineer jobs in Virginia?

For Remote Electromagnetic Compatibility Emc Engineer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Electromagnetic Compatibility Emc Engineer jobs in Virginia look for?

The top searched job categories for Remote Electromagnetic Compatibility Emc Engineer jobs in Virginia are:

What cities in Virginia are hiring for Remote Electromagnetic Compatibility Emc Engineer jobs?

Cities in Virginia with the most Remote Electromagnetic Compatibility Emc Engineer job openings:

Remote Electromagnetic Compatibility Emc Engineer jobs near you

AI/ML Engineer, Senior - WFH1659

Global InfoTek, Inc.

Reston, VA • On-site, Remote

$150 - $200/hr

Full-time

Re-posted 23 days ago

Job description

Clearance Level: Public Trust
US Citizenship: Required
Job Classification: 1099/Contractor ($150 - $200 per hour)
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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