E-Space

RF Product Development Lab Intern

Arlington, Texas, US

Role snapshot

E-Space is hiring a RF Product Development Lab Intern on a internship basis. This is an on-site role based in Arlington, Texas, US.

Company: E-Space
Location: Arlington, Texas, US
Work mode: On-site
Job type: Internship
Posted: Nov 2, 2026

Who this role suits

Students and recent graduates who want hands-on experience. Internships are usually judged on curiosity, projects and coursework rather than years of work history.

How to prepare your application

Put one or two projects near the top of your résumé, with a link a recruiter can open in a few seconds.
Revise core fundamentals for the role; early-career interviews lean heavily on basics and how you reason through a problem.
Read what E-Space publishes about its product or team, so you can say clearly why this role and this company.

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About the role

Job Description

Ready to make connectivity from space universally accessible, secure and actionable? Then you’ve come to the right place!

E-Space is bridging Earth and space to enable hyper-scaled deployments of Internet of Things (IoT) solutions and services. We are building a highly-advanced low Earth orbit (LEO) space system that will fundamentally change the design, economics, manufacturing and service delivery associated with traditional satellite and terrestrial IoT systems.

We’re intentional, we’re unapologetically curious and we’re 100% committed to innovate space-based communications and deliver actionable intelligence that will expand global economies, protect space and our planet and enhance our overall quality of life.

About the Role

Join our RF Product Development team as an intern supporting component and assembly prototyping, testing, and debugging activities. This role emphasizes software development skills to drive automation across ground-based RF test systems, data acquisition, and fault analysis workflows.

Key Responsibilities

Support prototyping, integration, and bring-up of RF components and assemblies in a lab environment
Perform functional, performance, and environmental testing on RF hardware
Troubleshoot and debug RF circuits, assemblies, and test setups to isolate root causes of failures
Design and develop software/scripts to automate ground-based RF test systems and reduce manual test time
Program data acquisition routines to collect measurement data from RF test equipment (e.g., spectrum analyzers, network analyzers, signal generators, power meters)
Develop analysis routines/algorithms to process acquired data for fault detection and anomaly identification
Build and validate data pipelines that produce "proofed" (verified/cleaned) data streams to support calibration activities and fault resolution
Document test procedures, automation scripts, and analysis methods for repeatability and knowledge transfer
Collaborate with RF engineers, test engineers, and software developers to translate manual test processes into automated workflows
Assist in creating dashboards, reports, or visualizations to communicate test results and fault trends to engineering teams
Support calibration activities for RF test equipment and assemblies as needed

Required Qualifications

Currently pursuing a degree in Electrical Engineering, Computer Engineering, Computer Science, or related field
Foundational knowledge of RF/microwave concepts (S-parameters, signal chains, impedance matching, etc.)
Programming experience in Python, MATLAB, C#, or similar languages
Familiarity with instrument control/automation frameworks (e.g., PyVISA, SCPI commands, LabVIEW, VISA/GPIB interfaces)
Basic understanding of data analysis techniques (statistical analysis, signal processing, or similar)
Strong problem-solving skills and attention to detail
Ability to work both independently and collaboratively in a lab environment

Preferred Qualifications

Experience with RF test equipment (VNAs, spectrum analyzers, signal generators, power sensors)
Exposure to automated test equipment (ATE) systems or test executive software (e.g., TestStand)
Experience with fault detection algorithms, anomaly detection, or machine learning basics
Familiarity with version control (Git) and software development best practices
Coursework or project experience in RF/microwave engineering, embedded systems, or signal processing
Experience with databases or data pipeline tools for managing test data

Other Requirements

U.S. Citizenship may be required due to export control/ITAR regulations (add/remove based on your organization's needs)
Ability to work on-site in a laboratory setting
Must be enrolled in an accredited university program for the duration of the internship

Why E-Space is right for you:

As a member of our team, you will play a crucial role in driving our success. Our team members have a strong sense of dedication and responsibility; this includes a strong commitment to our mission to create an entirely new suite of global capabilities to improve lives, business efficiencies and build a smarter planet. This means that there will be times when extra hours, including nights and weekends, may be needed to meet critical deadlines and mission goals. In return, we offer a dynamic work environment with opportunities for professional growth and development and the chance to make a meaningful impact in a high-growth industry.

We want you to make the most of your journey at E-Space. That’s why we support and invest in the physical, emotional and financial well-being of our team members and their families. Some of what you can expect when working at E-Space:

• An opportunity to really make a difference

• Sustainability at our core

• Fair and honest workplace

• Innovative thinking is encouraged

• Competitive salaries

• Continuous learning and development

• Health and wellness care options

• Financial solutions for the future

• Optional legal services (US only)

• Paid holidays

• Paid time off

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.