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Internship Quantum Programmer 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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Internship Quantum Programmer information

What is an Internship Quantum Programmer?

An Internship Quantum Programmer is a student or recent graduate who works temporarily with a company or research institution to gain hands-on experience in quantum computing. Their tasks typically involve writing and testing quantum algorithms, learning to use quantum programming languages like Qiskit or Cirq, and assisting with research projects. These internships provide valuable exposure to cutting-edge technology and are often stepping stones to careers in quantum computing or related fields. Interns may also attend seminars, collaborate with experienced quantum engineers, and contribute to open-source projects.

What are the key skills and qualifications needed to thrive as an Internship Quantum Programmer, and why are they important?

To thrive as an Internship Quantum Programmer, a strong foundation in quantum mechanics, linear algebra, and programming languages such as Python is essential, often supported by enrollment in a relevant STEM degree program. Familiarity with quantum computing frameworks like Qiskit or Cirq and experience using quantum simulators or cloud-based quantum platforms are highly valuable. Strong analytical thinking, problem-solving skills, and the ability to communicate complex concepts clearly help candidates stand out. These skills are important to effectively develop, test, and optimize quantum algorithms in a rapidly evolving field.

What is the difference between Internship Quantum Programmer vs Quantum Software Developer?

AspectInternship Quantum ProgrammerQuantum Software Developer
CredentialsTypically pursuing or recent graduate in CS, Physics, or related fieldsUsually requires a degree in CS, Physics, or related fields with some experience
Work EnvironmentInternship setting, often in research labs or tech companiesFull-time or contract roles in tech companies or research institutions
Industry UsageEntry-level, educational focus, training periodProfessional development, product development, or research projects
Search & Comparison IntentLearning about entry-level roles in quantum computingUnderstanding professional roles in quantum software development

The main difference is that an Internship Quantum Programmer is an entry-level, temporary position aimed at gaining experience, while a Quantum Software Developer is a full-time professional role focused on developing quantum algorithms and applications. Internships serve as a stepping stone into the industry, whereas developers are involved in ongoing projects and product development.

What types of projects and programming languages can I expect to work with during a Quantum Programming internship?

As a Quantum Programming intern, you'll typically work on projects involving quantum algorithms, simulations, or developing quantum software tools. Common programming languages and frameworks you'll encounter include Qiskit (Python-based), Cirq, and possibly Q# or other quantum SDKs, alongside classical programming languages like Python or C++. Projects may involve tasks such as implementing quantum circuits, optimizing algorithms, or contributing to open-source quantum computing libraries. You'll often collaborate with both quantum researchers and classical software engineers, gaining exposure to cutting-edge technology and multidisciplinary teamwork.
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Internship Quantum Programmer jobs near you
Gen AI Engineer

Gen AI Engineer

Fisec Global

Atlanta, GA • On-site

Other

Re-posted yesterday

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.