Internship
Posted 14 Sep 2026
Advertised as “Virginia Tech College Fair - Internship”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- Individual contributor
- Contract
- Internship
No salary listed for this role.
Field of studyComputer Engineering, Computer Science, Data Science (or related)
Study levelBachelor's or higher
Dark Wolf is looking for summer interns to join us at our office in Herndon, VA. Northern Virginia is one of the fastest-growing tech hubs on the East Coast. Outside of the office, you’ll join a community of interns with access to local networking events, professional development workshops, and the vibrant culture of Dark Wolf, spanning multiple areas. Software Development, Google Cloud Delivery, Data&AI, Cybersecurity and Mission Enablement.
Location: Herndon, VA
Duration: June 2027 – August 2027
Type: Full-Time Internship (Paid)
Software Delivery and Cloud Internship:
As an intern in our NoVA technology hub, you will work at the intersection of modern software delivery and emerging intelligence. This role is designed for students who are passionate about building scalable applications, leveraging cloud infrastructure, and implementing data-driven AI solutions. You won't just be shadowing; you will be an active member of an Agile squad contributing to production-level code.
Key Responsibilities
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Software Development: Design, develop, and test features using languages such as Python, Java, or Node.js.
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Cloud & Delivery: Assist in deploying applications to cloud environments (AWS, Azure, or GCP) and managing CI/CD pipelines to automate software delivery.
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Data Engineering: Build and optimize data pipelines to ensure high-quality data is available for analysis and model training.
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AI & Machine Learning: Support the integration of Generative AI and LLMs into existing workflows, performing prompt engineering and model fine-tuning.
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Agile Collaboration: Participate in daily stand-ups, sprint planning, and retrospectives to experience the full Software Development Life Cycle (SDLC).
Required Skills & Qualifications
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Current Enrollment: Pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Computer Engineering, or a related technical field at the University of Florida.
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Technical Proficiency: Foundational knowledge in at least one major programming language (Python preferred for AI/Data tracks).