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Research Engineer Internship Jobs in Alabama (NOW HIRING)

... guiding research assistants and interns toward achieving lab and project goals. * Funding ... Programming and Engineering: Strong Python skills (PyTorch / JAX / TensorFlow); comfortable with ...

Tasks may include basic assistance with the research, design, analysis, concept development, and ... Prior internship related to the degree of study and the specific engineering discipline. * * A ...

Tasks may include basic assistance with the research, design, analysis, concept development, and ... Prior internship related to the degree of study and the specific engineering discipline. * * A ...

Mechanical Engineer

Huntsville, AL · On-site

$57K - $104K/yr

Internship, co-op, undergraduate research, or academic project experience in mechanical design or manufacturing. * Experience creating engineering models and drawings using PTC Creo. * Familiarity ...

Internship, co-op, undergraduate research, or academic project experience in mechanical design or manufacturing. * Experience creating engineering models and drawings using PTC Creo. * Familiarity ...

... work, internships, research, or academic projects. * Familiarity with SysML and MBSE concepts ... Understanding of systems engineering principles and the systems development lifecycle. * Strong ...

Showing results 21-40

Research Engineer Internship information

What types of projects can I expect to work on during a research engineer internship, and how are they typically structured within the team?

As a Research Engineer Intern, you will often be assigned to projects that support ongoing research and development efforts, such as building prototypes, analyzing datasets, or implementing novel algorithms. These projects are usually collaborative, with interns working alongside experienced engineers and researchers in small teams. You'll likely have a mentor who provides guidance and regular check-ins to track progress. The structure allows you to gain hands-on experience, contribute to real-world problems, and develop both technical and communication skills while learning industry best practices.

What does a research engineer intern do?

A Research Engineer Intern assists in designing, developing, and testing new technologies or products under the supervision of experienced engineers and researchers. Their tasks often include data collection, running experiments, analyzing results, and contributing to technical reports or publications. Interns may also help with coding, simulations, and prototyping, depending on the field. This role provides hands-on experience in applying theoretical knowledge to real-world engineering challenges.

What is the difference between Research Engineer Internship vs Research Engineer?

AspectResearch Engineer InternshipResearch Engineer
CredentialsTypically pursuing or recent graduate in engineering, science, or related fieldBachelor's, Master's, or Ph.D. in engineering, science, or related field
Work EnvironmentTemporary, project-based, often in academic or corporate R&D labsFull-time, ongoing role in research teams within industry or academia
Employer & Industry UsageInternships offered by tech companies, research institutions, and universitiesFull-time research roles in tech, aerospace, automotive, and other R&D sectors

The Research Engineer Internship is a temporary, entry-level position designed for students or recent graduates to gain hands-on research experience. In contrast, a Research Engineer is a full-time professional role involving ongoing research responsibilities. Internships often serve as a pathway to full-time research engineering roles, with the main differences being duration, experience level, and scope of responsibilities.

What skills and qualifications are needed to thrive as a research engineer intern?

To thrive as a Research Engineer Intern, you need a strong background in engineering fundamentals, analytical thinking, and a relevant degree-in-progress such as electrical, mechanical, or computer engineering. Familiarity with programming languages (like Python, MATLAB, or C++), simulation tools, and data analysis software is typically essential. Curiosity, problem-solving abilities, teamwork, and effective communication help interns stand out in collaborative research environments. These skills and qualities are crucial for contributing to innovative projects, adapting to new challenges, and delivering valuable insights within research teams.
What are the most commonly searched types of Research Engineer jobs in Alabama? The most popular types of Research Engineer jobs in Alabama are:
What are popular job titles related to Research Engineer Internship jobs in Alabama? For Research Engineer Internship jobs in Alabama, the most frequently searched job titles are:

Mid-level Software Developer: HSV-26123

deciBel Research, Inc.

Huntsville, AL • On-site

Full-time

Re-posted 6 days ago


Job description

deciBel Research has an immediate opening for a Mid-level Software Developer in Huntsville, AL.
Position Description:
We are seeking a mid-level AI Software Developer (5-10 years of experience) who is passionate about applying artificial intelligence to transform complex engineering and business data into actionable insights. In this role, you'll develop intelligent analytics solutions that integrate data from engineering and enterprise tools such as Cameo Systems Modeler, Tableau, and other structured and unstructured data sources to create dynamic dashboards, visualizations, and decision-support capabilities.
You'll work closely with systems engineers, software developers, data engineers, and product stakeholders to build AI-enabled solutions that improve visibility into complex programs and accelerate decision-making. We value practical innovation, technical curiosity, and engineers who enjoy solving challenging problems while delivering software that has an immediate impact.
Responsibilities Include
  • Design, develop, and maintain AI-enabled applications using technologies such as Python, machine learning frameworks, APIs, and modern software engineering practices.
  • Develop intelligent data pipelines that ingest, correlate, and analyze information from tools including Cameo Systems Modeler, Tableau, databases, and other enterprise data sources.
  • Build AI-powered dashboards, visualizations, and interactive analytics that transform complex technical and program data into actionable insights for engineers and decision-makers.
  • Develop retrieval, summarization, and natural language query capabilities using modern AI and Large Language Model (LLM) technologies.
  • Create scalable data models and services that support analytics, reporting, and digital engineering initiatives.
  • Collaborate with systems engineers, software developers, data scientists, UX designers, and product owners in an agile, cross-functional environment.
  • Integrate AI capabilities with existing enterprise applications through REST APIs, cloud services, and modern software architectures.
  • Participate in technical design reviews, code reviews, architecture discussions, and continuous improvement activities.
  • Prototype innovative AI solutions and mature successful concepts into production-ready software.
  • Stay current with emerging AI, machine learning, and data visualization technologies, applying them thoughtfully to solve real-world engineering and business challenges.

Education Requirements:
BS Computer Science or Computer Engineering
Experience Requirements:
  • A degree in Computer Science or related field and some hands-on experience, personal projects, GitHub contributions, bootcamp experience, or internships.
  • Demonstrative experience with at least one modern programming language (Python, C++, Rust)
  • Experience with Linux operating system
  • Built at least one meaningful service/API
  • System-level thinking
  • Git + Linux proficiency
  • Curiosity, problem-solving, and a willingness to experiment.
  • Comfort working in collaborative, iterative development environments.
  • Strong communication skills and a desire to grow.

Special Skills Desired:
  • 5-10 years of software development experience with strong proficiency in Python or similar scripting languages.
  • Experience developing applications using Large Language Models (LLMs), generative AI frameworks, or machine learning technologies.
  • Experience integrating data from engineering, project management, or business intelligence platforms such as Cameo Systems Modeler, Tableau, databases, or similar enterprise tools.
  • Experience building dashboards and data visualization solutions using Tableau, Power BI, Plotly Dash, Streamlit, or similar technologies.
  • Familiarity with AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, or equivalent.
  • Experience developing RESTful APIs and working with structured and unstructured data.
  • Knowledge of vector databases, Retrieval-Augmented Generation (RAG), embeddings, or semantic search is highly desirable.
  • Experience with cloud platforms (AWS, Azure, or Google Cloud) and containerized applications is a plus.
  • Strong problem-solving, communication, and collaboration skills.

Applicant selected must have an active Secret security clearance. Must be a U.S. Citizen.