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Internship Remote Rf Engineer Jobs in Chantilly, VA

HawkEye 360

Senior Software Engineer

Herndon, VA · On-site +1

$130K - $180K/yr

Satellite clusters and ground segments provide the platform for RF data collection that is ... Experience building automated mission-critical applications and supporting remote hardware.

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Internship Remote Rf Engineer information

See Chantilly, VA salary details

$11

$19

$30

How much do internship remote rf engineer jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for internship remote rf engineer in Chantilly, VA is $19.77, according to ZipRecruiter salary data. Most workers in this role earn between $16.49 and $21.39 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Remote RF Engineer, and why are they important?

To excel as an Internship Remote RF Engineer, you need a solid understanding of radio frequency (RF) principles, basic circuit design, and a relevant engineering degree or coursework in electrical or telecommunications engineering. Familiarity with RF simulation tools like CST, HFSS, or ADS, as well as experience with measurement equipment such as spectrum analyzers and network analyzers, is often required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns work well in remote teams and contribute to technical discussions. These competencies are crucial for ensuring accurate RF system design, troubleshooting, and successful collaboration in a virtual work environment.

What is a remote RF engineer internship?

A remote RF (Radio Frequency) engineer internship is a training position where interns work from a remote location to assist in designing, analyzing, and testing wireless communication systems and devices. Interns may work on tasks such as signal propagation analysis, antenna design, and troubleshooting RF circuits, all while collaborating with teams virtually. These internships provide practical experience with industry-standard software tools and exposure to telecommunication technologies, preparing students for a career in RF engineering.

What is the difference between Internship Remote Rf Engineer vs Rf Engineer?

AspectInternship Remote Rf EngineerRf Engineer
CredentialsTypically pursuing or recently completed relevant degreeBachelor's or Master's in Electrical Engineering or related field, with experience
Work EnvironmentRemote, internship setting, limited responsibilitiesOn-site or hybrid, full responsibilities in RF design and testing
Employer UsageInternship programs in telecom and electronics companiesFull-time roles in telecom, wireless, and electronics industries

The main difference is that an Internship Remote Rf Engineer is a temporary, entry-level position aimed at gaining experience, often remote, while an Rf Engineer is a full-time professional responsible for RF system design, testing, and optimization in a more permanent capacity.

What types of projects and responsibilities can I expect as a remote RF Engineer intern?

As a remote RF Engineer intern, you will typically work on tasks such as assisting with the design, simulation, and testing of radio frequency circuits and systems. You may be involved in analyzing signal performance, troubleshooting issues, and supporting documentation for ongoing projects. Collaboration with senior engineers and cross-functional teams is common, often through virtual meetings and shared platforms. This exposure provides valuable hands-on experience and insights into the workflow of RF engineering in a professional setting.
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Internship Remote Rf Engineer jobs near you
Radio Frequency Software Engineer Principal - 1649

Radio Frequency Software Engineer Principal - 1649

Global InfoTek, Inc.

Reston, VA • On-site, Remote

$100K - $240K/yr

Full-time

Posted 18 days ago

Job description

Clearance Level: Public Trust (Secret Eligible)
US Citizenship: Required
Job Classification: Full Time
Location: Remote
Years of Experience: 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 Principal Software Engineer to support Cyber Operations Research and Development as the technical lead for production software development on a passive RF emitter identification and network analysis from real-time sensor data streams. The candidate will own the architecture, implementation, and delivery of the production pipeline - a stream ingestion, rollup, and post-processing system that operates on NDF (Network Description File) data produced by TDMA network sensors in dense, contested RF environments. The candidate will lead a small team of senior software engineers, coordinate closely with the program technical lead and AI/ML researchers to drive Cyber Operations software from prototype to production-quality, resource-efficient components deployable on tactical edge hardware. This is a hands-on technical leadership role: the Principal Engineer writes code, makes architecture decisions, and is accountable for pipeline performance and reliability in support of real world cyber operations.
Responsibilities:
  • Own the architecture and implementation of the production software pipeline, including stream ingestion, rollup, database write, and batch post-processing components
  • Lead a team of Senior Software Engineers in support of real world cyber operations; assign work, conduct code reviews, enforce quality standards, and provide technical mentorship
  • Establish and maintain disciplined software engineering practices: versioning, CI/CD pipelines, unit and integration testing, and documentation standards
  • Design and evaluate database and storage architecture for the tactical system and research enclave environments
  • Collaborate with the program technical lead to translate research findings and batch optimization algorithms into production pipeline components
  • Evaluate and benchmark Python pipeline performance on tactical-box-spec hardware; identify bottlenecks and lead porting of mature components to Rust or C for edge deployment
  • Manage and coordinate the tactical system VM environment and stream simulation infrastructure; ensure research VM is not disrupted by development activity
  • Define and enforce stream interface contracts between the ingestion layer, database, and downstream consumers
  • Evaluate emerging technologies (e.g., DuckDB/Parquet, Polars, message queues) against program requirements and recommend adoption decisions to the technical lead
  • Maintain the program's GitLab repository structure, branching strategy, and release management
  • Produce clear technical documentation including architecture decision records, interface specifications, and deployment guides
  • Support technical reviews and provide written inputs for sponsor deliverables as directed by the program technical lead

Expert-level career professional with broad and deep application of software engineering principles across the full development lifecycle. Exercises independent judgment in evaluating methods, techniques, and approaches; identifies and resolves complex technical problems with significant program impact. Provides technical leadership and direction to other engineers. Bachelor's (or equivalent) with 10+ years of experience.
Required Skills:
  • Demonstrated experience leading a software engineering team on a production data pipeline or streaming system; ability to set technical direction and mentor junior engineers
  • Expert-level Python development, including stream processing, multi-threaded/async architectures, and performance profiling
  • Proficiency in one or more compiled or systems languages (Rust, C, C++, or Go) for performance-critical components; experience porting Python to compiled targets
  • Hands-on experience designing and implementing relational database schemas and write-intensive data pipelines (MySQL, PostgreSQL, or equivalent)
  • Experience parsing binary serialization formats such as FlatBuffers or Protocol Buffers in a production context
  • Demonstrated ability to benchmark and optimize pipeline throughput on resource-constrained hardware or cloud environment
  • Strong proficiency with Linux system administration, remote server management via SSH, and air-gapped development environments
  • Experience architecting multi-consumer data systems where a single write path must serve concurrent display, analytics, and batch processing readers
  • Proficient in disciplined software engineering practices: GitLab/Git, CI/CD pipeline design, test-driven development, and code review
  • Excellent written and oral communication skills; ability to produce architecture decision records and technical documentation for both engineering and leadership audiences

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 deploying and operating software on tactical edge hardware co-located with a sensor system
  • Experience with lightweight stream or message queue architectures (ZeroMQ, RabbitMQ, or equivalent)
  • Experience with Polars or DuckDB for high-performance analytical workloads and write-once/read-many storage patterns
  • 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 model inference integration - ability to incorporate batch optimizer outputs into the production pipeline without requiring ML expertise
  • Experience with browser-based data visualization or reporting tools (React, D3, or equivalent) as a consumer of pipeline output
  • Experience with Jupyter Notebooks and research enclave environments; ability to bridge from research prototype to production code
  • Experience with FlatBuffers binary stream replay and simulation infrastructure for pipeline testing
  • Familiarity with Rust toolchain and ecosystem for systems-level development on Linux

Relevant Certifications:
  • Certifications in software engineering, computer science, or related fields (e.g., Certified Software Development Professional (CSDP); Certified Secure Software Lifecycle Professional (CSSLP); Red Hat Certified Engineer (RHCE); C++ Certified Professional Programmer (CPP); 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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