NET engineer who is AI-native to design and ship AI-driven features across their ophthalmology ... or simulation experimentation (Gymnasium a plus) • OAuth and systems integration patterns;
NET engineer who is AI-native to design and ship AI-driven features across their ophthalmology ... or simulation experimentation (Gymnasium a plus) • OAuth and systems integration patterns;
Construction Management Internship
Naples, FL · On-site
$28K - $33K/yr
Support communication with engineering partners and subcontractors * Maintain accurate and detailed ... Develop familiarity with estimating software, tools, and industry terminology * Assist in asset and ...
Construction Management Internship
Naples, FL · On-site
$28K - $33K/yr
Support communication with engineering partners and subcontractors * Maintain accurate and detailed ... Develop familiarity with estimating software, tools, and industry terminology * Assist in asset and ...
Simulation Software Engineer Internship information
See Naples, FL salary details
$12.68 - $14.84
5% of jobs
$14.84 - $17
7% of jobs
$19.12 is the 25th percentile. Wages below this are outliers.
$17 - $19.16
13% of jobs
$19.16 - $21.32
9% of jobs
The median wage is $23.06 / hr.
$21.32 - $23.48
19% of jobs
$23.48 - $25.64
18% of jobs
$26.18 is the 75th percentile. Wages above this are outliers.
$25.64 - $27.81
14% of jobs
$27.81 - $29.97
7% of jobs
$29.97 - $32.13
4% of jobs
$32.13 - $34.29
0% of jobs
$34.29 - $36.45
3% of jobs
$12
$23
$36
How much do simulation software engineer internship jobs pay per hour?
As of Jul 13, 2026, the average hourly pay for simulation software engineer internship in Naples, FL is $23.94, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $27.16 per hour, depending on experience, location, and employer.
What is the difference between Simulation Software Engineer Internship vs Simulation Software Engineer?
| Aspect | Simulation Software Engineer Internship | Simulation Software Engineer |
|---|---|---|
| Required Credentials | Currently pursuing or recently completed a relevant degree (e.g., Computer Science, Engineering) | Bachelor's or Master's degree in a related field, with some roles preferring experience or certifications |
| Work Environment | Internship programs, often in corporate R&D or product teams, with mentorship | Full-time professional role in engineering teams, often in R&D or product development |
| Employer & Industry Usage | Used by tech companies, automotive, aerospace, and simulation firms for training and development | Employed in similar industries, focusing on developing and maintaining simulation software products |
The main difference is that a Simulation Software Engineer Internship is a temporary, learning-focused position for students or recent graduates, while a Simulation Software Engineer is a full-time professional role requiring more experience and responsibility in developing simulation software.
What does a Simulation Software Engineer Intern do?
A Simulation Software Engineer Intern assists in developing and testing software models that simulate real-world processes or systems. They typically work with experienced engineers to write code, debug simulations, and analyze results to ensure accuracy and efficiency. Interns may use tools such as MATLAB, Simulink, or Python, and contribute to projects in fields like automotive, aerospace, or robotics. The role helps interns gain hands-on experience in software engineering and simulation technologies, preparing them for future careers in the industry.
What are the key skills and qualifications needed to thrive as a Simulation Software Engineer Intern, and why are they important?
To thrive as a Simulation Software Engineer Intern, you need a strong foundation in programming languages (such as C++, Python, or MATLAB), mathematical modeling, and computer science principles, typically supported by ongoing or completed coursework in engineering or related fields. Familiarity with simulation tools (like Simulink or Modelica), version control systems (such as Git), and possibly exposure to CAD or physics engines is often required. Problem-solving abilities, attention to detail, teamwork, and effective communication are important soft skills for this role. These skills and qualities are crucial for accurately developing, testing, and refining simulation models within collaborative engineering environments.
What types of projects or tasks can I expect to work on during a Simulation Software Engineer Internship?
As a Simulation Software Engineer Intern, you will typically contribute to developing, testing, and refining simulation models used for validating real-world systems or products. Your daily tasks may include coding simulation algorithms, analyzing performance data, debugging issues, and collaborating with engineers from other disciplines such as hardware, robotics, or product design. Interns often work closely with mentors, attend team meetings, and may have opportunities to present findings or improvements. This role provides hands-on experience with industry-standard simulation tools and fosters valuable teamwork and technical skills.
What are popular job titles related to Simulation Software Engineer Internship jobs in Naples, FL? For Simulation Software Engineer Internship jobs in Naples, FL, the most frequently searched job titles are:
- Software Engineer Internship
- Internship Software Localization Engineer
- Internship Housing Relocation Welding
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What job categories do people searching Simulation Software Engineer Internship jobs in Naples, FL look for? The top searched job categories for Simulation Software Engineer Internship jobs in Naples, FL are:
- Computer Science Intern
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What cities near Naples, FL are hiring for Simulation Software Engineer Internship jobs? Cities near Naples, FL with the most Simulation Software Engineer Internship job openings:
Full-time
Re-posted 16 days ago
Job description
Job Summary:
Optivate is a leading provider of healthcare technology software solutions focused on ophthalmologists and eye care specialists. They are hiring a full-stack .NET engineer who is AI-native to design and ship AI-driven features across their ophthalmology platform, integrating AI capabilities while ensuring production quality.
Responsibilities:
• Design and ship AI-driven features across our ophthalmology platform
• Work with third-party LLM integrations
• Develop custom ML models
• Build domain-specific enhancements using clinical data
• Design, build, and maintain full-stack features across our ophthalmology platform — backend services and APIs in .NET/C# (.NET Core, .NET 10) and responsive frontend interfaces in HTML/CSS
• Use AI-native and agentic development workflows (e.g., Cursor multi-agent pipelines for decomposition, architecture, implementation, QA, and review) to move quickly while keeping code clean and reliable
• Design and integrate AI-powered features — including third-party LLM integrations — that fit safely into clinical software
• Troubleshoot and improve distributed systems
• Establish and participate in code review processes
• Work within an agile framework, contributing to: + Sprint planning + Daily standups + Retrospectives
• Write clean, maintainable, testable code, and establish and participate in code review
• Collaborate across product, clinical, and engineering teams
• Contribute to architectural decisions, including where and how AI fits into our systems
• Work within an agile framework: sprint planning, daily standups, and retrospectives AI Responsibilities
• Integrate third-party LLMs (OpenAI, Anthropic, Azure OpenAI, Hugging Face) into production features
• Build retrieval pipelines using embeddings and vector databases (Pinecone, FAISS, Weaviate) and implement semantic search
• Develop prompt engineering strategies with testing and versioning
• Design evaluation approaches that measure accuracy, reliability, hallucination rates, and clinical relevance
• Collaborate on deploying, monitoring, and maintaining AI services in production
• Optimize AI feature performance, latency, and cost
Qualifications:
Required:
• 3–7 years of professional software development experience with strong full-stack delivery
• Strong, current experience with .NET/C# (.NET Core and/or .NET 10)
• Proficiency building responsive UIs with HTML/CSS
• Demonstrated fluency with AI-assisted and agentic development tooling (e.g., Cursor, Claude Code, Copilot), ideally including multi-agent development workflows
• Experience integrating LLM APIs into real, shipped systems (does not need to be the bulk of your career — but you've done it and understand the tradeoffs)
• Solid foundation in data structures, algorithms, API design, and distributed system design
• Experience with at least one major cloud platform (AWS, Azure, or GCP)
• Familiarity with model limitations, evaluation tradeoffs, and the realities of running AI in production
• Experience working in collaborative environments with exposure to Git version control and branching strategies
• Experience working in collaborative environments with exposure to Agile methodologies (Scrum/Kanban)
• Experience working in collaborative environments with exposure to task/story management tools
• Experience working in collaborative environments with exposure to code reviews
• Experience working in collaborative environments with exposure to architectural discussions
• Experience working in collaborative environments with exposure to cross-functional collaboration
• AI-native mindset (data, models, feedback loops, iteration)
• Pragmatic builder who understands production constraints
• Comfortable with ambiguity in emerging AI spaces
• Strong communicator, especially explaining AI tradeoffs
• Motivated to apply AI in healthcare where safety and reliability matter
Preferred:
• Experience with Blazor, particularly Blazor Hybrid and .NET MAUI for building cross-platform applications on a shared .NET codebase
• Experience building or fine-tuning ML models (NLP, structured data, computer vision)
• Enhancing foundation models with RAG, fine-tuning, embeddings, or adapters
• Computer vision experience, especially medical imaging
• Experience with clinical or regulated datasets; HIPAA familiarity
• MLOps experience: model versioning, experiment tracking, monitoring, CI/CD for ML
• Designing AI evaluation benchmarks
• Reinforcement learning or simulation experimentation (Gymnasium a plus)
• OAuth and systems integration patterns; RESTful API design
• Git branching strategies and experience in Scrum/Kanban environments
Company:
Optivate is a healthcare technology services company specifically designed for Eye Surgeons. Founded in 1998, the company is headquartered in Bonita Springs, USA, with a team of 51-200 employees. The company is currently Growth Stage.
Optivate is a leading provider of healthcare technology software solutions focused on ophthalmologists and eye care specialists. They are hiring a full-stack .NET engineer who is AI-native to design and ship AI-driven features across their ophthalmology platform, integrating AI capabilities while ensuring production quality.
Responsibilities:
• Design and ship AI-driven features across our ophthalmology platform
• Work with third-party LLM integrations
• Develop custom ML models
• Build domain-specific enhancements using clinical data
• Design, build, and maintain full-stack features across our ophthalmology platform — backend services and APIs in .NET/C# (.NET Core, .NET 10) and responsive frontend interfaces in HTML/CSS
• Use AI-native and agentic development workflows (e.g., Cursor multi-agent pipelines for decomposition, architecture, implementation, QA, and review) to move quickly while keeping code clean and reliable
• Design and integrate AI-powered features — including third-party LLM integrations — that fit safely into clinical software
• Troubleshoot and improve distributed systems
• Establish and participate in code review processes
• Work within an agile framework, contributing to: + Sprint planning + Daily standups + Retrospectives
• Write clean, maintainable, testable code, and establish and participate in code review
• Collaborate across product, clinical, and engineering teams
• Contribute to architectural decisions, including where and how AI fits into our systems
• Work within an agile framework: sprint planning, daily standups, and retrospectives AI Responsibilities
• Integrate third-party LLMs (OpenAI, Anthropic, Azure OpenAI, Hugging Face) into production features
• Build retrieval pipelines using embeddings and vector databases (Pinecone, FAISS, Weaviate) and implement semantic search
• Develop prompt engineering strategies with testing and versioning
• Design evaluation approaches that measure accuracy, reliability, hallucination rates, and clinical relevance
• Collaborate on deploying, monitoring, and maintaining AI services in production
• Optimize AI feature performance, latency, and cost
Qualifications:
Required:
• 3–7 years of professional software development experience with strong full-stack delivery
• Strong, current experience with .NET/C# (.NET Core and/or .NET 10)
• Proficiency building responsive UIs with HTML/CSS
• Demonstrated fluency with AI-assisted and agentic development tooling (e.g., Cursor, Claude Code, Copilot), ideally including multi-agent development workflows
• Experience integrating LLM APIs into real, shipped systems (does not need to be the bulk of your career — but you've done it and understand the tradeoffs)
• Solid foundation in data structures, algorithms, API design, and distributed system design
• Experience with at least one major cloud platform (AWS, Azure, or GCP)
• Familiarity with model limitations, evaluation tradeoffs, and the realities of running AI in production
• Experience working in collaborative environments with exposure to Git version control and branching strategies
• Experience working in collaborative environments with exposure to Agile methodologies (Scrum/Kanban)
• Experience working in collaborative environments with exposure to task/story management tools
• Experience working in collaborative environments with exposure to code reviews
• Experience working in collaborative environments with exposure to architectural discussions
• Experience working in collaborative environments with exposure to cross-functional collaboration
• AI-native mindset (data, models, feedback loops, iteration)
• Pragmatic builder who understands production constraints
• Comfortable with ambiguity in emerging AI spaces
• Strong communicator, especially explaining AI tradeoffs
• Motivated to apply AI in healthcare where safety and reliability matter
Preferred:
• Experience with Blazor, particularly Blazor Hybrid and .NET MAUI for building cross-platform applications on a shared .NET codebase
• Experience building or fine-tuning ML models (NLP, structured data, computer vision)
• Enhancing foundation models with RAG, fine-tuning, embeddings, or adapters
• Computer vision experience, especially medical imaging
• Experience with clinical or regulated datasets; HIPAA familiarity
• MLOps experience: model versioning, experiment tracking, monitoring, CI/CD for ML
• Designing AI evaluation benchmarks
• Reinforcement learning or simulation experimentation (Gymnasium a plus)
• OAuth and systems integration patterns; RESTful API design
• Git branching strategies and experience in Scrum/Kanban environments
Company:
Optivate is a healthcare technology services company specifically designed for Eye Surgeons. Founded in 1998, the company is headquartered in Bonita Springs, USA, with a team of 51-200 employees. The company is currently Growth Stage.