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Quantum Edge Technology Jobs in Georgia (NOW HIRING)

Engage in quantum engineering projects, applying principles of quantum mechanics to engineering ... Experience working on cutting-edge technologies to solve problems using Retrieval Augmented ...

JTEC Talent Network

Atlanta, GA · Hybrid

$90K - $180K/yr

DOD Financial Management * IT Systems Auditing and Accounting * Curriculum Development and Training * Control Systems and Sensing * Cutting-Edge Quantum Research Requirements vary by program/position ...

JTEC Talent Network

Atlanta, GA · On-site

$90K - $180K/yr

DOD Financial Management * IT Systems Auditing and Accounting * Curriculum Development and Training * Control Systems and Sensing * Cutting-Edge Quantum Research Requirements vary by program/position ...

Quantum Edge Technology information

Are quantum edge technology jobs in high demand?

Quantum edge technology jobs are increasingly in demand as industries seek to leverage quantum computing for advanced applications. Roles often require skills in quantum algorithms, hardware, and programming languages like Qiskit or Cirq, with growth driven by research institutions and tech companies investing in quantum innovation.

What are some typical challenges faced by professionals working in quantum edge technology, and how can they be addressed?

Professionals in Quantum Edge Technology often encounter challenges related to integrating quantum computing with edge devices, such as managing limited power, ensuring data security, and developing algorithms that function efficiently in real-time. Collaboration with multidisciplinary teams—spanning hardware engineering, software development, and quantum research—can help address these challenges. Staying current with rapid advancements in both quantum and edge computing fields is essential, and participating in industry conferences or specialized training can enhance problem-solving skills.

What is quantum edge technology?

Quantum Edge Technology refers to the integration of quantum computing principles and hardware with edge computing systems. This field aims to bring the power of quantum processing closer to where data is generated, such as IoT devices, sensors, or network edges, rather than relying solely on centralized quantum data centers. The goal is to enable faster data analysis, enhanced security, and more efficient processing for applications that require real-time decision-making. Quantum Edge Technology is still in its early stages, but it holds promise for revolutionizing industries like telecommunications, healthcare, and finance.

What is the difference between Quantum Edge Technology vs Quantum Computing Engineer?

AspectQuantum Edge TechnologyQuantum Computing Engineer
Required CredentialsBachelor's or Master's in Physics, Computer Science, or related fieldsBachelor's or Master's in Electrical Engineering, Computer Science, or Physics
Work EnvironmentResearch labs, tech companies, startupsResearch and development, software/hardware engineering teams
Industry UsageApplied quantum tech, hardware development, product integrationSoftware development, algorithm design, hardware testing

Quantum Edge Technology focuses on developing and applying quantum hardware and integrated systems, often involving product deployment. Quantum Computing Engineers primarily design and optimize quantum algorithms and hardware components. While both roles require a background in quantum physics or engineering, their daily tasks and industry applications differ, with Quantum Edge Technology emphasizing practical implementation and Quantum Computing Engineers focusing on software and hardware development.

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

To thrive as a Quantum Edge Technology Specialist, you need a strong background in quantum physics, computer science, and distributed systems, often supported by advanced degrees in these fields. Familiarity with quantum programming languages (like Q# or Qiskit), cloud-based quantum platforms, and edge computing frameworks is typically required. Creative problem-solving, adaptability, and strong collaboration skills are essential for navigating this rapidly evolving and multidisciplinary field. These capabilities are crucial for advancing next-generation computing solutions that bridge quantum technologies with real-world edge applications.

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

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

Gen AI Engineer

Fisec Global

Atlanta, GA • On-site

Other

Re-posted 27 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.