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Kernel Engineer Jobs in Florida (NOW HIRING)

Purple Drive

Python Developer (AI/LLM Specialist)

Tampa, FL · On-site

$45.75 - $63/hr

Python Developer (AI/LLM Specialist) Location: Tampa, FL - Onsite Type: Contract Role Overview We ... Kernel, AutoGen , and similar frameworks. * Integrate and fine-tune LLMs (OpenAI, Anthropic ...

Vaco by Highspring

AI Engineer

Jacksonville, FL · On-site

Strong C# / ASP.NET Core engineer (4+ years) with experience building AI-enabled features inside a ... Experience with Semantic Kernel or similar .NET AI orchestration/agent frameworks * Experience with ...

NextRow Digital

Android Device Developer

Miramar, FL · On-site

$70/hr

NextRow is looking to hire a contractor who has experience in Android device programming. In this ... Focused on Kernel, HAL, Debug • Read requirements predominantly related to Hardware peripherals ...

NextRow Digital

Android Device Developer

Miramar, FL

$51.75 - $68/hr

NextRow is looking to hire a contractor who has experience in Android device programming. In this ... Focused on Kernel, HAL, Debug Read requirements predominantly related to Hardware peripherals ...

Viasat, Inc.

Embedded Software Engineer

Tampa, FL · On-site

$174K - $261K/yr

What you'll do This is a role for a Embedded Software Engineer who is eager to contribute to a ... Linux kernel driver development/modifications * Familiarity with to bare metal embedded device ...

Viasat, Inc.

Embedded Software Engineer

Tampa, FL · On-site

$174K - $261K/yr

What you'll do This is a role for a Embedded Software Engineer who is eager to contribute to a ... Linux kernel driver development/modifications * Familiarity with to bare metal embedded device ...

Viasat, Inc.

Embedded Software Engineer

Tampa, FL · On-site

$174K - $261K/yr

What you'll do This is a role for a Embedded Software Engineer who is eager to contribute to a ... Linux kernel driver development/modifications * Familiarity with to bare metal embedded device ...

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Kernel Engineer information

What are the key skills and qualifications needed to thrive as a Kernel Engineer, and why are they important?

To thrive as a Kernel Engineer, you need deep expertise in C programming, operating system concepts, and low-level hardware interactions, typically supported by a degree in computer science or related fields. Familiarity with version control systems (like Git), debugging tools (such as GDB), and kernel development frameworks is crucial. Problem-solving, attention to detail, and effective communication are standout soft skills in this role. These skills enable the creation of reliable, efficient, and secure kernels that form the backbone of computing systems.

What is the difference between Kernel Engineer vs Device Driver Developer?

AspectKernel EngineerDevice Driver Developer
Required CredentialsBachelor's or higher in Computer Science, Linux/Unix knowledge, programming skills in C/C++Similar credentials, often with specialized knowledge in hardware and driver development
Work EnvironmentSystem-level development, kernel code, Linux/Unix environmentsHardware interaction, driver coding, embedded or OS-specific environments
Industry UsageOperating system development, open-source projects, hardware manufacturersHardware companies, embedded systems, OS vendors
Common Search/ComparisonKernel EngineerDevice Driver Developer

Kernel Engineers focus on developing and maintaining the core kernel of operating systems, ensuring system stability and performance. Device Driver Developers specialize in creating software that allows hardware components to communicate with the OS. While both roles require similar technical skills and often overlap, Kernel Engineers work on the entire kernel infrastructure, whereas Device Driver Developers concentrate on specific hardware interfaces.

What is a Kernel Engineer?

A Kernel Engineer is a software engineer who specializes in the development, maintenance, and optimization of operating system kernels, such as Linux or Windows. Their primary responsibilities include designing new kernel features, fixing bugs, improving performance, and ensuring compatibility with hardware. They often work closely with hardware manufacturers and other software developers to build stable and secure system foundations. Kernel Engineers must have a deep understanding of operating system internals, low-level programming (typically in C or C++), and computer architecture. This role is critical for maintaining and advancing the core components that allow computers and devices to function efficiently.

What are some typical challenges Kernel Engineers face when working on operating system updates?

Kernel Engineers often encounter challenges related to maintaining system stability and compatibility when implementing updates or new features. Ensuring that changes do not introduce regressions or security vulnerabilities requires thorough testing and collaboration with QA and other engineering teams. Additionally, Kernel Engineers need to keep up-to-date with hardware advancements and support a wide range of devices, which can add complexity to their work. Effective communication and strong problem-solving skills are essential for navigating these challenges and delivering high-quality code.
What are popular job titles related to Kernel Engineer jobs in Florida? For Kernel Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Kernel Engineer jobs in Florida look for? The top searched job categories for Kernel Engineer jobs in Florida are:
Kernel Engineer jobs near you
Infographic showing various Kernel Engineer job openings in Florida as of June 2026, with employment types broken down into 75% Full Time, 17% Part Time, and 8% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.

Python Developer (AI/LLM Specialist)

Purple Drive

Tampa, FL • On-site

$45.75 - $63/hr

Other

Posted 12 days ago

Job description

Overview:
Python Developer (AI/LLM Specialist)
Location: Tampa, FL - Onsite
Type: Contract
Role Overview
We are seeking a highly skilled Python Developer with expertise in AI, LLM integration, and agentic frameworks. The ideal candidate will design, build, and deploy advanced multi-agent AI systems, reasoning pipelines, and task automation flows, while ensuring scalability and performance. This role also requires leadership skills to mentor junior developers, guide project scoping, and align with cross-functional stakeholders.
Key Responsibilities
  • Develop and maintain Python applications leveraging modern frameworks (asyncio, FastAPI/Flask, multiprocessing).
  • Design and implement AI-driven agentic systems using LangChain, LangGraph, LlamaIndex, Haystack, Semantic Kernel, AutoGen, and similar frameworks.
  • Integrate and fine-tune LLMs (OpenAI, Anthropic, Hugging Face, Mistral, and other open-source models).
  • Apply advanced prompt engineering, RAG (retrieval-augmented generation), chain-of-thought orchestration, tool use, and function calling to optimize AI system performance.
  • Architect scalable reasoning pipelines and task automation flows.
  • Implement containerization and deployment with Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure), including GPU optimization.
  • Drive model evaluation strategies and best practices for Model Ops.
  • Mentor team members, provide technical leadership, and ensure alignment across cross-functional teams.
Required Skills & Experience
  • 8+ years of professional Python development experience.
  • Proven expertise in agentic frameworks (LangChain, LangGraph, LlamaIndex, Haystack, Semantic Kernel, AutoGen, etc.).
  • Strong background in LLM integration: fine-tuning, RAG, prompt engineering, orchestration, and tool/function usage.
  • Hands-on experience with Hugging Face Transformers, OpenAI APIs, Anthropic, Mistral, and open-source models.
  • Proficiency in FastAPI/Flask, asyncio, multiprocessing.
  • Deployment experience with Docker, Kubernetes, GPU optimization, and cloud platforms (AWS/GCP/Azure).
  • Strong system design skills for multi-agent systems and reasoning pipelines.
  • Excellent leadership, mentorship, and project scoping abilities.
Nice to Have
  • Research or implementation experience with emerging LLM/AI agent frameworks.
  • Prior experience in large-scale AI/ML deployments in production environments.
  • Contributions to open-source AI/ML projects.

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