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Market-Observed Role 🔍 Observed Likely Active (65-79)
This role was detected through DeepSig Inc's hiring system and hasn't been verified directly by the employer. Our algorithm scored it as Likely Active (65-79) based on freshness, specificity, and company patterns. What does this mean? →

Software Engineering Intern (Summer 2026)

DeepSig Inc
🔍 Observed
72
Hiring Activity Score
Likely Active (65-79)
  • Base score
  • Posted 7 days ago
  • has location, quality description (2542 chars)
  • logo
  • High confidence (90%)
How the Hiring Activity Score works →
Arlington, Virginia, US First seen 1 week, 2 days ago Last seen 8 hours, 33 minutes ago JSearch
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Job Description

AI Summary
• Develop and test AI/ML-driven software for 5G wireless systems using C/C++, Python, and Linux, replacing traditional signal processing with machine learning solutions. • Support prototyping and feature development for ML/DSP software while gaining hands-on experience with 5G radios, SDR systems, and high-performance computing platforms. • Must be a Junior or Senior pursuing a BS/MS in Computer Science, Electrical Engineering, or related field with proficiency in C/C++, Python, Git, and interest in wireless systems or machine learning. • Work collaboratively in a small, agile startup team with exposure to modern software engineering practices, applied research, and opportunities to contribute to scientific publications and open-source projects. • Competitive salary and benefits with flexible scheduling, strong work-life balance, and a inclusive, fast-paced environment focused on transforming signal processing through AI/ML innovation.

Skills

git python
Job Information
  • Company:
    DeepSig Inc
  • Location:
    Arlington, Virginia, US
  • Job Type:
    Full-Time
  • Experience Level:
    Entry
  • Source:
    JSearch
  • Status:
    Active
Activity Score
72 /100
Likely Active (72)

Higher scores indicate more likely active hiring based on listing freshness, company activity, and other signals. Learn more →

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🔍 Observed Market-Observed Roles

These roles were detected through employer hiring systems like Workday. They haven't been verified by the employer directly, so we score each one using our Hiring Activity Score — an algorithm that analyzes freshness, specificity, company hiring patterns, and more to estimate whether the role is actively being filled.

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