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Internship Quantum Technology Jobs in Georgia (NOW HIRING)

This role involves leveraging advanced technologies to solve complex problems and contribute to ... Engage in quantum engineering projects, applying principles of quantum mechanics to engineering ...

Internship Quantum Technology information

What is an internship in quantum technology?

An internship in quantum technology is a temporary position, often for students or recent graduates, that provides hands-on experience working with quantum computing, quantum communication, or other quantum-related fields. Interns typically assist with research, software development, or lab work while learning from experts in the industry. These internships can take place in academic labs, technology companies, or specialized research institutes. The goal is to gain practical skills, deepen understanding of quantum concepts, and build professional networks for future careers.

What are the key skills and qualifications needed to thrive in a quantum technology internship?

To thrive in an Internship in Quantum Technology, you typically need a strong background in physics, mathematics, or engineering, often demonstrated by ongoing undergraduate or graduate studies in a relevant field. Familiarity with quantum programming languages (like Qiskit or Cirq), simulation tools, and lab equipment is highly valuable. Analytical thinking, problem-solving, and effective communication help interns excel in collaborative research environments. These skills and qualities are essential for tackling complex quantum challenges and contributing meaningfully to cutting-edge projects.

What types of projects can I expect to work on during a quantum technology internship?

As a Quantum Technology intern, you can expect to be involved in projects ranging from quantum algorithm development and quantum hardware testing to simulating quantum systems and contributing to research papers. Interns often work closely with experienced researchers, engineers, and software developers to support ongoing experiments or software tool development. The work environment is typically collaborative, with regular team meetings, mentorship, and opportunities to present your findings. These projects provide hands-on experience with cutting-edge quantum computing platforms and foster skills valuable for future roles in academia or industry.

What is the difference between Internship Quantum Technology vs Quantum Computing Intern?

AspectInternship Quantum TechnologyQuantum Computing Intern
Required CredentialsUndergraduate or graduate in physics, engineering, or related fieldsSimilar educational background, often with focus on computer science or physics
Work EnvironmentResearch labs, tech companies, startups working on quantum hardware and applicationsResearch centers, tech firms focusing on quantum algorithms and software development
Industry UsageApplied quantum hardware, sensors, and communication systemsQuantum software, algorithms, and simulation projects
Search & Comparison IntentUnderstanding roles in quantum hardware and applied techFocusing on software and algorithm development in quantum computing

Internship Quantum Technology typically involves hands-on work with quantum hardware, sensors, and communication systems, while Quantum Computing Internships focus on developing algorithms and software for quantum computers. Both roles require similar educational backgrounds but differ in their focus areas within the quantum industry.

What cities in Georgia are hiring for Internship Quantum Technology jobs?

Cities in Georgia with the most Internship Quantum Technology job openings:

Infographic showing various Internship Quantum Technology job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 16% Part Time, 8% Contract, and 3% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Gen AI Engineer

Fisec Global

Atlanta, GA • On-site

Other

Re-posted 2 days ago


Job description

Gen AI Engineer

Atlanta GA

Full time

Job Summary
We are seeking a highly skilled and motivated Engineer to join our dynamic team. The ideal candidate will have a strong background in engineering principles and practices, with expertise in model deployment, data mining, and database design. This role involves leveraging advanced technologies to solve complex problems and contribute to innovative projects.

Duties

  • Design, develop, and implement engineering solutions that meet project requirements.
  • Deploy machine learning models and ensure their effective integration into existing systems.
  • Utilize Hadoop for big data processing and analysis.
  • Conduct data mining to extract valuable insights from large datasets.
  • Collaborate with cross-functional teams to define project specifications and timelines.
  • Use Talend for data integration and transformation tasks.
  • Write efficient SQL queries for database management and reporting purposes.
  • Engage in quantum engineering projects, applying principles of quantum mechanics to engineering challenges.
  • Create and maintain databases, ensuring optimal performance and security.
  • Develop automation scripts using VBA to enhance operational efficiency.
  • Program applications in Java to support various engineering functions.
  • Apply unsupervised learning techniques to analyze unlabelled data and derive meaningful patterns.

Qualifications

  • Proven experience (3-5 years) as a Data Scientist or Machine Learning Engineer, with experience in deploying Generative AI based solutions in production.
  • Experience working on cutting-edge technologies to solve problems using Retrieval Augmented Generation (RAG), Fine tuning LLMs, Prompt tuning, Graph RAGs, Knowledge graphs, etc.
  • Strong background in machine learning, deep learning, and probabilistic modeling.
  • Proficiency in modern data science tools and frameworks, such as PyTorch, Tensorflow, JAX, Scikit-learn, and Keras.
  • Experience designing and implementing large-scale data pipelines and processing systems.
  • Experience working with server-side frameworks like FastAPI as well as API development, documentation, and versioning.
  • Familiarity with cloud platforms (AWS, GCP, or Azure), CI/CD tools (Jenkins) and containerization technologies (Docker, Kubernetes).
  • Strong programming skills in Python and experience working with version control systems (Git).
  • Excellent communication and teamwork skills.
  • Experience mentoring junior colleagues and interns.