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Quantum Internships Jobs in Georgia (NOW HIRING)

Fisec Global

Gen AI Engineer

Atlanta, GA · On-site

Engage in quantum engineering projects, applying principles of quantum mechanics to engineering ... Experience mentoring junior colleagues and interns.

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Quantum Internships information

What are quantum internships?

Quantum internships are temporary positions designed for students or early-career professionals to gain hands-on experience in the field of quantum computing or quantum information science. These internships typically involve working on research projects, software development, or experimental tasks related to quantum technologies under the guidance of experienced mentors. Participants may work with quantum algorithms, hardware, or theoretical models, and often have the opportunity to contribute to cutting-edge advancements. Quantum internships are offered by universities, research institutions, and companies in the technology sector. These positions help interns build valuable skills and expand their professional networks in the rapidly growing quantum industry.

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

As a quantum intern, you will typically be involved in a mix of research and practical projects, such as developing quantum algorithms, running simulations, or assisting with experimental setups. You'll likely collaborate closely with senior researchers, software engineers, and data scientists to address real-world problems using quantum computing principles. The exact nature of your work will depend on the organization's focus—whether it's quantum hardware, software, or theoretical research—but you can expect hands-on experience with quantum programming languages and tools. This collaborative environment is a great way to build technical skills and industry connections.

What are the key skills and qualifications needed to thrive as a quantum intern, and why are they important?

To thrive as a Quantum Intern, you typically need a strong background in physics, mathematics, or computer science, often supported by coursework or research in quantum mechanics. Familiarity with quantum programming languages (like Qiskit or Cirq), simulation tools, and basic coding skills are commonly required. Critical thinking, attention to detail, and effective communication help interns solve complex problems and collaborate with research teams. These skills are essential for meaningful contributions to quantum projects and for adapting to the rapidly evolving field of quantum technology.

What is the difference between Quantum Internships vs Quantum Research Assistant?

AspectQuantum InternshipsQuantum Research Assistant
Required CredentialsUndergraduate or graduate students, relevant courseworkGraduate students or recent graduates, advanced coursework or research experience
Work EnvironmentInternship programs, labs, research centersResearch labs, academic institutions, industry R&D
Employer & Industry UsageTech companies, universities, research institutesUniversities, government labs, industry research teams
Common Search & ComparisonYesYes

Quantum Internships typically target students gaining initial experience in quantum computing or physics, often as part of educational programs. Quantum Research Assistants usually have more advanced credentials and assist in ongoing research projects. Internships are more entry-level, while research assistant roles involve deeper involvement in research activities.

What are popular job titles related to Quantum Internships jobs in Georgia?

For Quantum Internships jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Quantum Internships jobs in Georgia look for?

The top searched job categories for Quantum Internships jobs in Georgia are:

Quantum Internships jobs near you

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.