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Quantum Edge Technology Jobs in Raleigh, NC (NOW HIRING)

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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 job categories do people searching Quantum Edge Technology jobs in Raleigh, NC look for? The top searched job categories for Quantum Edge Technology jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Quantum Edge Technology jobs? Cities near Raleigh, NC with the most Quantum Edge Technology job openings:
Infographic showing various Quantum Edge Technology job openings in Raleigh, NC as of July 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Full-time

Re-posted 16 days ago


Job description

Job Title: GAI Expert / Software Engineer - AI Specialist II
Location :Onsite in Charlotte, NC
Job Description:
At Duke Energy, we are at the forefront of technological innovation, dedicated to creating cutting-edge solutions that transform industries. We are seeking a highly skilled and motivated GAI Expert to join our dynamic team. If you are passionate about generative AI, large language models (LLMs), and the latest advancements in agentic technologies, we want to hear from you!
Job Summary
As a GAI Expert/Software Engineer, you will be responsible for building an application that generates code, pipelines, and creates web applications automatically via prompts. You will also play a key role in enhancing our contact center operations using generative AI frameworks. This role requires a deep understanding of AI, machine learning, and software engineering principles, as well as a strong foundation in writing maintainable, testable, and modular code.
Key Responsibilities
• Design, develop, and maintain applications that generate code, pipelines, and web applications automatically via prompts using generative and agentic AI.
• Enhance contact center operations by integrating generative AI solutions that improve customer experience and operational efficiency.
• Apply software design principles and common patterns to write clean, maintainable, and scalable code.
• Leverage unit testing frameworks to ensure code quality and reliability.
• Experiment with and implement cutting-edge LLM agentic technologies to enhance application capabilities.
• Collaborate with cross-functional teams and business stakeholders to accelerate adoption of AI-powered tools.
• Implement GAI solutions in alignment with Duke Energy AI Policies.
• Conduct R&D to explore new AI techniques and future technologies such as blockchain and quantum computing.
• Optimize and fine-tune AI models for performance, scalability, and accuracy.
• Provide technical guidance and mentorship to junior team members.
Required Qualifications
• Bachelor's degree in Computer Science, Information Systems, or related discipline; or 8 years of equivalent work experience in lieu of a degree.
• 2-3 years of hands-on experience with generative AI implementations.
• 4-5 years of experience in software engineering.
• Strong understanding of Python and ability to quickly learn new frameworks.
Preferred Qualifications
• Proven experience in software engineering with a focus on AI and machine learning.
• Experience with agentic technologies and their applications.
• Familiarity with generative AI frameworks and LLMs.
• Knowledge of natural language processing (NLP) and computer vision.
• Experience with DevOps practices and tools for CI/CD.
• Strong programming skills in Python, React, Angular.
• Experience with AWS cloud platform and services.
• Familiarity with modularized, testable code and unit testing frameworks.
• Appetite for continuous learning and staying current with emerging AI technologies.
• Excellent problem-solving, communication, and collaboration skills.
Years of Experience: 12.00 Years of Experience
Regards
Surya
Surya@rurisoft.com