Job Title: GAI Expert
Raleigh, NC · On-site
... edge LLM agentic technologies to enhance application capabilities. • Collaborate with cross ... and quantum computing. • Optimize and fine-tune AI models for performance, scalability, and ...
Job Title: GAI Expert
Raleigh, NC · On-site
... edge LLM agentic technologies to enhance application capabilities. • Collaborate with cross ... and quantum computing. • Optimize and fine-tune AI models for performance, scalability, and ...
CLAWS Lithography Engineer
Raleigh, NC · On-site
$110K/yr
... quantum technologies, and artificial intelligence applications. Wolfpack Perks and Benefits As a ... Lead the design and optimization of cutting-edge photolithography processes tailored for next ...
CLAWS Lithography Engineer
Raleigh, NC · On-site
$110K/yr
... quantum technologies, and artificial intelligence applications. Wolfpack Perks and Benefits As a ... Lead the design and optimization of cutting-edge photolithography processes tailored for next ...
... quantum technologies, and artificial intelligence applications. Wolfpack Perks and Benefits As a ... Lead the design and optimization of cutting-edge photolithography processes tailored for next ...
... quantum technologies, and artificial intelligence applications. Wolfpack Perks and Benefits As a ... Lead the design and optimization of cutting-edge photolithography processes tailored for next ...
... edge of known science as they imagine and deliver solutions that push the boundaries in quantum ... The company, formed in 2020 through the combination of Raytheon Company and the United Technologies ...
... edge of known science as they imagine and deliver solutions that push the boundaries in quantum ... The company, formed in 2020 through the combination of Raytheon Company and the United Technologies ...
... edge of known science as they imagine and deliver solutions that push the boundaries in quantum ... This position requires a degree in Science, Technology, Engineering or Mathematics (STEM) unless ...
... edge of known science as they imagine and deliver solutions that push the boundaries in quantum ... This position requires a degree in Science, Technology, Engineering or Mathematics (STEM) unless ...
... edge of known science as they imagine and deliver solutions that push the boundaries in quantum ... This position requires a degree in Science, Technology, Engineering or Mathematics (STEM) unless ...
... edge of known science as they imagine and deliver solutions that push the boundaries in quantum ... This position requires a degree in Science, Technology, Engineering or Mathematics (STEM) unless ...
... edge of known science as they imagine and deliver solutions that push the boundaries in quantum ... This position requires a degree in Science, Technology, Engineering or Mathematics (STEM) unless ...
... edge of known science as they imagine and deliver solutions that push the boundaries in quantum ... This position requires a degree in Science, Technology, Engineering or Mathematics (STEM) unless ...
Quantum Edge Technology information
What tech jobs are booming right now?
Quantum Edge Technology professionals are in high demand in fields such as quantum computing, cybersecurity, and data science. Roles often require expertise in programming languages like Python, knowledge of quantum algorithms, and familiarity with specialized hardware and software tools. These jobs typically offer competitive salaries and may require advanced degrees or certifications.
Is quantum computing a good career?
Quantum Edge Technology professionals work with quantum algorithms, hardware, and software, often requiring advanced degrees in physics, computer science, or engineering. The field is growing rapidly with high demand for specialized skills, offering opportunities in research, development, and industry applications. Careers in quantum computing typically involve continuous learning and familiarity with tools like quantum programming languages and hardware platforms.
What is a quantum edge?
A quantum edge refers to the advantage gained by using quantum computing technologies in a job role like Quantum Edge Technology, enabling faster processing and solving complex problems beyond classical computers. Professionals in this field often work with quantum algorithms, hardware, and programming languages such as Qiskit or Cirq to develop and implement quantum solutions.
What jobs in the US pay 300,000 a year?
In the field of quantum edge technology, high-paying roles such as senior research scientists, quantum engineers, and technical directors can earn $300,000 or more annually, especially with advanced degrees and extensive experience. These positions often require expertise in quantum computing, physics, or related engineering disciplines, along with strong problem-solving skills and familiarity with specialized tools and programming languages.
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?
| Aspect | Quantum Edge Technology | Quantum Computing Engineer |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Physics, Computer Science, or related fields | Bachelor's or Master's in Electrical Engineering, Computer Science, or Physics |
| Work Environment | Research labs, tech companies, startups | Research and development, software/hardware engineering teams |
| Industry Usage | Applied quantum tech, hardware development, product integration | Software 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 are popular job titles related to Quantum Edge Technology jobs in Raleigh, NC? For Quantum Edge Technology jobs in Raleigh, NC, the most frequently searched job titles are:
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:
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
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
About Ruri Software Technologies
Sourced by ZipRecruiter
Industry
Software development
Company size
11 - 50 Employees
Headquarters location
Tampa, FL, US