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Internship Software Developer In Test Jobs in Pierre, SD

U.S. Navy

ENGINEERING AIDE

Pierre, SD · On-site

Every successful engineering career needs a solid foundation, and as an Engineering Aide in the ... Conducting concrete, soil and asphalt tests and quality control inspections * Reading and ...

U.S. Navy

ENGINEERING AIDE

Pierre, SD

Every successful engineering career needs a solid foundation, and as an Engineering Aide in the ... Conducting concrete, soil and asphalt tests and quality control inspections * Reading and ...

US Department of the Interior

Civil Engineer

Pierre, SD · On-site

$99K/yr

... written test required for professional registration by an engineering licensure board in the various States, the District of Columbia, Guam, and Puerto Rico. -OR3. Specified academic courses ...

State of South Dakota

Environmental Engineer

Pierre, SD · On-site

$32.06/hr

Engineers in the Water Quality Program assist with the implementation of the state's Surface Water ... software such as PowerBI, ArcGIS, etc; * communicate and coordinate with other engineers and ...

IMEG

Civil Project Engineer | Pierre, SD

Pierre, SD · On-site

$84K - $113K/yr

Strong technical and analytical skills in the civil engineering field * Ability to train and mentor less experienced staff * Ability to lead teams with others that utilize industry standard software ...

IMEG

Civil Project Engineer | Pierre, SD

Pierre, SD · On-site

$84K - $113K/yr

Strong technical and analytical skills in the civil engineering field * Ability to train and mentor less experienced staff * Ability to lead teams with others that utilize industry standard software ...

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Internship Software Developer In Test information

See Pierre, SD salary details

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How much do internship software developer in test jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for internship software developer in test in Pierre, SD is $22.81, according to ZipRecruiter salary data. Most workers in this role earn between $18.46 and $24.18 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an internship software developer in test?

To thrive as an Internship Software Developer In Test, you need a basic understanding of software development, familiarity with testing methodologies, and foundational programming skills, often supported by coursework in computer science or related fields. Experience with test automation tools (like Selenium or JUnit), version control systems (such as Git), and exposure to CI/CD pipelines is typically expected. Attention to detail, problem-solving ability, and effective communication are standout soft skills in this position. These competencies ensure reliable software quality, smooth collaboration with development teams, and a solid foundation for future growth in software testing roles.

What does an internship software developer in test do?

An Internship Software Developer In Test works with development and quality assurance teams to create and execute automated tests for software applications. Their main responsibility is to ensure that software products are reliable, functional, and meet quality standards before release. Interns in this role often write test scripts, identify bugs, and help improve testing processes, all while learning about software development and testing methodologies. This position is a great way to gain hands-on experience in both coding and quality assurance.

What types of projects or tasks can an internship software developer in test expect to work on?

As an Internship Software Developer In Test, you can expect to work on a variety of tasks such as writing automated test scripts, executing manual test cases, and assisting in debugging software applications. You'll often collaborate closely with software developers and QA engineers to ensure new features meet quality standards and help identify potential issues early in the development cycle. These responsibilities provide valuable hands-on experience with industry-standard tools and practices, and offer insight into the full software development lifecycle. This role is an excellent opportunity to build practical skills and expand your professional network within the tech industry.

What is the difference between Internship Software Developer In Test vs Software Developer In Test?

AspectInternship Software Developer In TestSoftware Developer In Test
CredentialsTypically pursuing or recently completed a degree in Computer Science or related fieldBachelor's or higher in Computer Science or related field, with some experience
Work EnvironmentEntry-level, learning-focused, often part-time or temporaryFull-time, professional environment with ongoing projects
Employer & Industry UsageInternships offered by tech companies, startups, and software firmsFull-time roles in software development companies, tech firms, and QA teams

The main difference is that an Internship Software Developer In Test is an entry-level, learning position designed for students or recent graduates, while a Software Developer In Test is a full-time professional role requiring more experience. Interns focus on gaining skills and understanding testing processes, whereas full-time developers In Test are responsible for designing and executing test automation and quality assurance tasks.

Internship Software Developer In Test jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Pierre, SD • On-site

Other

Re-posted 15 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