{"id":398590,"url":"https://alion.io/job/espace-real-estate-rf-product-development-lab-intern","title":"RF Product Development Lab Intern","company":{"id":2438005,"name":"E-Space","domain":"e-space.com","url":"https://alion.io/company/e-space-com","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":73,"open_postings":104,"ghost_share":0.365,"stale_share":0,"repost_share":0.038,"time_to_fill_p50_days":61,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Hardware","role_family":"Hardware","seniority":"intern","employment_type":"internship","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Arlington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C#","optional":false},{"name":"MATLAB","optional":false},{"name":"Python","optional":false},{"name":"Git","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-08-22T02:00:01Z","employer_posted_date":"2026-08-22","last_verified_at":"2026-10-27T15:17:41Z","board_verified":true,"closed_at":null,"days_open":66,"trust":{"level":"ok","repost_count":1,"flags":["company_stale"],"days_open":66},"description":"About the Role\nJoin 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.\nKey Responsibilities\nSupport prototyping, integration, and bring-up of RF components and assemblies in a lab environment\nPerform functional, performance, and environmental testing on RF hardware\nTroubleshoot and debug RF circuits, assemblies, and test setups to isolate root causes of failures\nDesign and develop software/scripts to automate ground-based RF test systems and reduce manual test time\nProgram data acquisition routines to collect measurement data from RF test equipment (e.g., spectrum analyzers, network analyzers, signal generators, power meters)\nDevelop analysis routines/algorithms to process acquired data for fault detection and anomaly identification\nBuild and validate data pipelines that produce \"proofed\" (verified/cleaned) data streams to support calibration activities and fault resolution\nDocument test procedures, automation scripts, and analysis methods for repeatability and knowledge transfer\nCollaborate with RF engineers, test engineers, and software developers to translate manual test processes into automated workflows\nAssist in creating dashboards, reports, or visualizations to communicate test results and fault trends to engineering teams\nSupport calibration activities for RF test equipment and assemblies as needed\nRequired Qualifications\nCurrently pursuing a degree in Electrical Engineering, Computer Engineering, Computer Science, or related field\nFoundational knowledge of RF/microwave concepts (S-parameters, signal chains, impedance matching, etc.)\nProgramming experience in Python, MATLAB, C#, or similar languages\nFamiliarity with instrument control/automation frameworks (e.g., PyVISA, SCPI commands, LabVIEW, VISA/GPIB interfaces)\nBasic understanding of data analysis techniques (statistical analysis, signal processing, or similar)\nStrong problem-solving skills and attention to detail\nAbility to work both independently and collaboratively in a lab environment\nPreferred Qualifications\nExperience with RF test equipment (VNAs, spectrum analyzers, signal generators, power sensors)\nExposure to automated test equipment (ATE) systems or test executive software (e.g., TestStand)\nExperience with fault detection algorithms, anomaly detection, or machine learning basics\nFamiliarity with version control (Git) and software development best practices\nCoursework or project experience in RF/microwave engineering, embedded systems, or signal processing\nExperience with databases or data pipeline tools for managing test data\nOther Requirements\nU.S. Citizenship may be required due to export control/ITAR regulations (add/remove based on your organization's needs)\nAbility to work on-site in a laboratory setting\nMust be enrolled in an accredited university program for the duration of the 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