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Quantum Computing Engineer Junior Jobs in Ohio (NOW HIRING)

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$60 - $80/hr

Als Junior Graph AI Engineer (m/w/d) arbeitest du an der nächsten Generation intelligenter ... Cloud Computing, digitale Medien und dem Internet der Dinge ermöglicht werden. Reply bietet ...

Siemens

$18 - $50/hr

... Quantum Computing, etc. Organization Requirements: * Studying for a Bachelor's, Master's, or PhD degree in Computer Science, Computer Engineering, or Mechanical Engineering * Strong coding skills in ...

Quantum-Systems GmbH

$80 - $100/hr

Completed degree or vocational training in Supply Chain Management, Industrial Engineering ... computing and real‑time AI‑powered data processing, Quantum Systems is building ...

Jobless

$80 - $100/hr

As a Flight Control Automation Engineer, you will play a key role in our mission aircraft team and ... computing and real‑time AI‑powered data processing, Quantum Systems is building ...

E2 Optics

Junior Project Engineer

New Albany, OH · On-site

... cloud computing, and the innovations of tomorrow. At E2 Optics, you will work with cutting-edge ... Responsible for providing support for project engineering, quality control, contract administration ...

E2 Optics

Junior Project Engineer

New Albany, OH · On-site

... cloud computing, and the innovations of tomorrow. At E2 Optics, you will work with cutting-edge ... Responsible for providing support for project engineering, quality control, contract administration ...

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Quantum Computing Engineer Junior information

What does a quantum computing engineer junior do?

A Quantum Computing Engineer Junior assists in designing, developing, and testing quantum algorithms and hardware components. They typically work under the guidance of senior engineers and researchers, helping to build and maintain quantum computing systems. Their responsibilities can include coding quantum programs, running simulations, troubleshooting issues, and staying updated on the latest advancements in quantum technologies. This entry-level role offers hands-on experience and learning opportunities in the rapidly evolving field of quantum computing.

What are some common challenges faced by junior quantum computing engineers when transitioning from academia to industry?

Junior quantum computing engineers often find the transition from academia to industry challenging due to differences in project timelines, collaboration styles, and the need to quickly adapt to proprietary hardware and software tools. In industry, there's a greater emphasis on working as part of multidisciplinary teams and delivering results under tight deadlines. Additionally, engineers may need to broaden their expertise beyond theoretical concepts to include practical skills such as coding, debugging, and optimizing algorithms for real-world quantum devices. Continuous learning and adaptability are key to thriving in this dynamic and evolving field.

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

To thrive as a Quantum Computing Engineer Junior, you need a solid background in quantum mechanics, linear algebra, and computer science, typically supported by a degree in physics, computer science, or a related field. Familiarity with quantum programming languages like Qiskit or Cirq, and experience using quantum simulators and cloud-based quantum platforms are commonly required. Strong analytical thinking, problem-solving abilities, and curiosity are standout soft skills in this position. These skills and qualities are vital for contributing to complex quantum projects and advancing innovation in this rapidly evolving field.

What is the difference between Quantum Computing Engineer Junior vs Quantum Computing Engineer?

AspectQuantum Computing Engineer JuniorQuantum Computing Engineer
Required CredentialsBachelor's degree in physics, computer science, or related field; some experience or internshipsBachelor's or master's degree; more experience or specialized certifications preferred
Work EnvironmentEntry-level labs, research teams, or tech companies; supervised projectsMore independent roles; involved in design, development, and testing of quantum algorithms and hardware
Employer & Industry UsageStartups, research institutions, tech companies exploring quantum techEstablished tech firms, research labs, and industry leaders in quantum computing

The main difference between a Quantum Computing Engineer Junior and a Quantum Computing Engineer lies in experience, responsibilities, and independence. Junior roles focus on learning and supporting projects, while full engineers take on more complex tasks and leadership in quantum computing development.

What are popular job titles related to Quantum Computing Engineer Junior jobs in Ohio?

For Quantum Computing Engineer Junior jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Quantum Computing Engineer Junior jobs in Ohio look for?

The top searched job categories for Quantum Computing Engineer Junior jobs in Ohio are:

What cities in Ohio are hiring for Quantum Computing Engineer Junior jobs?

Cities in Ohio with the most Quantum Computing Engineer Junior job openings:

Quantum Computing Engineer Junior jobs near you
Infographic showing various Quantum Computing Engineer Junior job openings in Ohio as of August 2026, with employment types broken down into 87% Full Time, 7% Part Time, and 6% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Junior AI Developer

Akron, OH • On-site

Babcock & Wilcox Enterprises, Inc.
5 - 10K employees
Learn more about Babcock & Wilcox Enterprises, Inc.external

$64K - $83K/yr

Full-time

Re-posted 12 days ago

Job description

About the Role
We are seeking a Junior AI Developer with a focus on AI Generative Images to support the development of AI-driven image generation capabilities. This role will focus on creating, refining, and operationalizing AI models that generate realistic and technical imagery for various applications.
You will work closely with engineering, marketing, business development, and digital teams to develop AI solutions that can generate visual representations of industrial equipment, plant layouts, and conceptual designs. This is an opportunity to work at the intersection of artificial intelligence and industrial engineering applications.
Key Responsibilities
  • Assist in building and deploying generative image models in the Azure cloud
  • Support training and fine-tuning models using internal datasets (e.g., plant images, equipment designs, marketing assets)
  • Develop and refine prompt engineering techniques to improve output quality, consistency, and realism
  • Perform image preprocessing and post-processing (background cleanup, resizing, enhancement, quality correction)
  • Collaborate with engineering and marketing teams to translate requirements into AI-assisted visual outputs
  • Help establish repeatable workflows for AI-driven image generation (batch processing, template generation, reuse of assets)
  • Assist in integrating AI image capabilities into existing tools and platforms (e.g., web apps, Power Platform, internal tools)
  • Support testing and validation of generated images for technical accuracy and visual quality
  • Document processes, datasets, and model performance to ensure reproducibility and governance compliance
  • Stay current on advancements in generative AI and model optimization techniques

Required Qualifications
  • Bachelor's degree in Computer Science, Data Science, AI/ML, or a related field (or equivalent experience)
  • Basic experience with Python and AI/ML libraries
  • Familiarity with machine learning concepts (training, inference, model evaluation)
  • Exposure to image processing tools (e.g., Adobe Photoshop) and 3D modeling / animation platforms (e.g., Blender, Autodesk Maya)
  • Understanding of cloud platforms, preferably Microsoft Azure
  • Strong problem-solving and analytical skills
  • Ability to work collaboratively across technical and non-technical teams

Preferred Qualifications
  • Exposure to generative AI models (e.g., diffusion models, GANs, or transformer-based image generation)
  • Experience with Stable Diffusion, ControlNet, or similar frameworks
  • Familiarity with GPU-based computing environments (local or cloud-based)
  • Basic understanding of prompt engineering techniques
  • Experience working with image datasets (labeling, cleaning, augmentation)
  • Exposure to version control (Git) and development workflows
  • Familiarity with Azure services such as Azure AI, Azure ML, or virtual machines
  • Familiarity with industrial or power generation plant layouts, components, and systems
  • Experience with engineering 3D modeling software (e.g., SolidWorks, AVEVA E3D)

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