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Entry Level Scientific Software Developer Jobs in Charleston, SC

CoServe Global Solutions

Jr. DevOps Engineer

Charleston, SC · On-site

$49.25 - $67.50/hr

This position will work closely with the software development team to ensure the developers have ... S. in Computer Science or related field or equivalent skills and experience Experience with ...

CoServe Global Solutions

Jr. DevOps Engineer

Charleston, SC · On-site

$49.25 - $67.50/hr

This position will work closely with the software development team to ensure the developers have ... S. in Computer Science or related field or equivalent skills and experience Experience with ...

Varsity Tutors

Computer Programming Tutor

Charleston, SC · Remote

$18 - $40/hr

Ability to explain computational thinking, abstraction, iteration, recursion, and software development life cycle while preparing students for computer science coursework and software engineering ...

Nucor Steel Auburn

NSBC - Lab Supervisor

Huger, SC · On-site

$115K/yr

Bachelors degree or higher in Metallurgy or Materials Science/Engineering * Entry-level knowledge in programming/database access * Mechanical, Electrical, and software troubleshooting knowledge

Varsity Tutors

AP Computer Science A Tutor

Charleston, SC · Remote

$18 - $40/hr

... programming concepts to real-world software development applications. * Curriculum Awareness ... Familiar with AP Computer Science A curriculum across ten units and common challenges such as ...

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All JobsScientific Software Developer JobsEntry Level Scientific Software Developer JobsEntry Level Scientific Software Developer Jobs in Charleston, SC

Entry Level Scientific Software Developer information

See Charleston, SC salary details

$27.6K

$93.8K

$226K

How much do entry level scientific software developer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for entry level scientific software developer in Charleston, SC is $93,830.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $99,200.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Scientific Software Developer vs Entry Level Data Analyst?

AspectEntry Level Scientific Software DeveloperEntry Level Data Analyst
Required CredentialsBachelor's in Computer Science, Software Engineering, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentResearch labs, scientific institutions, tech companiesBusiness, healthcare, finance sectors
Employer & Industry UsageUsed in scientific research, simulation, data modelingUsed in data interpretation, reporting, business insights

While both roles involve data handling and programming, Entry Level Scientific Software Developers focus on creating software for scientific applications, whereas Entry Level Data Analysts interpret data to inform business decisions. The choice depends on your interest in scientific computing versus data analysis in various industries.

What are popular job titles related to Entry Level Scientific Software Developer jobs in Charleston, SC? For Entry Level Scientific Software Developer jobs in Charleston, SC, the most frequently searched job titles are:
What job categories do people searching Entry Level Scientific Software Developer jobs in Charleston, SC look for? The top searched job categories for Entry Level Scientific Software Developer jobs in Charleston, SC are:
Entry Level Scientific Software Developer jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Charleston, SC • On-site

Other

Re-posted 17 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply